hackajob is collaborating with Made Tech to connect them with exceptional professionals for this role. Made Tech helps UK public sector organisations build and run secure, user-centred digital services. Our Cyber practice works directly with government departments, agencies, and other public bodies - embedding alongside client teams to raise their security capability, not just deliver a report and leave. As a Senior Security Analyst, you'll be a core part of that practice, operating in a security operations context where the stakes are real: the systems we protect carry sensitive public data and underpin services that people depend on. This is a hands-on technical role with genuine scope and influence. You'll lead threat hunts and intrusion investigations, author and tune detection content, and help your team respond to incidents in a way that leaves things better than you found them. You'll translate threat intelligence into actionable detections, align your work to frameworks like the NCSC Cyber Assessment Framework and GovAssure, and communicate clearly with client security stakeholders who need to understand what's happening and why it matters. You'll own significant pieces of the SOC's work end-to-end - not just executing tasks, but making considered decisions and being clear about the trade-offs. At Senior level, though, the role is about more than your own output. You'll help junior analysts develop their triage tradecraft, normalise pairing on incident response, contribute to shared detection standards across the practice, and model the kind of blameless, collaborative culture that makes a security team genuinely effective. If you're looking for a role where you can grow technically, build real influence within a team, and do meaningful work for the public sector, this is it. Key responsibilities Lead threat hunts and intrusion investigations - form and test hypotheses, map adversary activity against MITRE ATT&CK, perform forensic artefact analysis, and establish scope and root cause clearly enough that the team and client can act on your findings. Author, tune, and peer-review detection content - treat detections as code (version-controlled, reviewed), translate threat intelligence into new rules, and contribute to iterative improvement of the SIEM ruleset; onboard new log sources, including cloud and application feeds, to close coverage gaps. Own sub-cycles of the intelligence lifecycle - run structured collection against defined requirements, track actor TTPs, manage indicator lifecycles, and produce situational-awareness products that inform both detection priorities and client risk decisions. Lead incident response and drive improvement - co-ordinate containment across engineering and analyst teams, communicate incident detail clearly to client stakeholders, and turn every incident into improved detection content, hardening, or runbook coverage; design for resilience by anticipating failure modes and ensuring systems degrade gracefully. Build SOAR playbooks and auto-triage - identify toil and repetition in analyst workflows, and build automation that saves the team time and improves consistency without removing human judgement where it matters. Align security operations to UK public sector standards - ensure investigations, evidence handling, and detection coverage reflect NCSC CAF Objective C, GovAssure requirements, and lawful-monitoring obligations; feed gaps back into risk governance. Mentor junior analysts and raise team standards - pair deliberately on complex investigations, review triage work, share adversary tradecraft with the team, and help create an environment where people feel safe raising concerns and learning from mistakes. Contribute to the practice beyond your immediate engagement - improve shared SOC standards and onboarding documentation, turn good solutions into reusable playbooks and accelerators the next team can pick up, contribute detection content to practice-level repositories, and engage with cross-government security communities such as NCSC CISP and relevant ISACs. Skills, knowledge and expertise Essential Hold one of the following - Systems Security Certified Practitioner (SSCP), CompTIA Security+, or an equivalent foundational operational security credential expected of Senior SOC analysts. Desirable Certifications that would strengthen your application: Certified Cloud Security Professional (CCSP) CompTIA Advanced Security Practitioner (CASP+) HTB Certified Defensive Security Analyst (HTB CDSA) Capabilities that set strong applications apart: Experience applying structured analytical techniques - ACH, key-assumptions checks, or similar, to produce rigorous, bias-resistant intelligence assessments, and comfort peer-reviewing others' analytic tradecraft. Working knowledge of cloud security event investigation and cloud detection tuning, particularly across AWS, Azure, or GCP environments, including understanding of infrastructure-level telemetry. Experience framing security findings in risk terms for non-technical stakeholders - communicating likelihood, impact, and recommended treatment clearly, and reflecting asset criticality and threat context in prioritisation decisions. Evidence of building or improving SOAR playbooks, automated triage workflows, or equivalent automation that reduced analyst toil in a SOC or detection-engineering context. Familiarity with UK government security frameworks - in particular the NCSC CAF, GovAssure, and HMG Security Policy Framework - and experience aligning detection or response work to those standards in a government or regulated environment. Experience working within an agile or Kanban-based team model, contributing to workflow improvement, running or participating in retrospectives, and helping the team improve its own practices - not just delivering within them. Experience acting as a trusted working-level contact for client security stakeholders - anchoring on their actual outcomes, raising concerns or opportunities proactively, and contributing subject-matter expertise to proposals or bids. Tools and practice familiarity: Hands-on experience with at least one major SIEM platform (for example, Splunk, Microsoft Sentinel, or Elastic Security) including writing and tuning detection rules. Familiarity with threat intelligence platforms, OSINT tooling, or indicator lifecycle management in an operational context. Made Tech sponsors attainment of recognised cyber certifications for staff in scope. If you don't yet hold the listed credentials but are actively working toward them, or can demonstrate equivalent capability through experience, we'd encourage you to apply. Job benefits SC Eligibility An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' UK residency and 5 year' employment history (or back to full-time education). Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. Support in applying If you need this job description in another format, or other support in applying, please email . We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We're collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. When you apply, we'll put you in touch with a member of our talent team who can help with any needs or adjustments we may need to make to help with your application. We've put together this blog as a resource to share more about reasonable adjustments and some examples of what this could include. We also welcome any feedback on how we can improve the experience for future candidates. Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice and neurodiversity as well as our client work and best practice. We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like many organisations, we use Slack to foster a sense of community and connection. As well as special interest groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you'd like to speak to someone from one of these groups about their experience as an employee, please do let a member of the Made Tech talent team know. We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly . click apply for full job details
Aug 05, 2026
Full time
hackajob is collaborating with Made Tech to connect them with exceptional professionals for this role. Made Tech helps UK public sector organisations build and run secure, user-centred digital services. Our Cyber practice works directly with government departments, agencies, and other public bodies - embedding alongside client teams to raise their security capability, not just deliver a report and leave. As a Senior Security Analyst, you'll be a core part of that practice, operating in a security operations context where the stakes are real: the systems we protect carry sensitive public data and underpin services that people depend on. This is a hands-on technical role with genuine scope and influence. You'll lead threat hunts and intrusion investigations, author and tune detection content, and help your team respond to incidents in a way that leaves things better than you found them. You'll translate threat intelligence into actionable detections, align your work to frameworks like the NCSC Cyber Assessment Framework and GovAssure, and communicate clearly with client security stakeholders who need to understand what's happening and why it matters. You'll own significant pieces of the SOC's work end-to-end - not just executing tasks, but making considered decisions and being clear about the trade-offs. At Senior level, though, the role is about more than your own output. You'll help junior analysts develop their triage tradecraft, normalise pairing on incident response, contribute to shared detection standards across the practice, and model the kind of blameless, collaborative culture that makes a security team genuinely effective. If you're looking for a role where you can grow technically, build real influence within a team, and do meaningful work for the public sector, this is it. Key responsibilities Lead threat hunts and intrusion investigations - form and test hypotheses, map adversary activity against MITRE ATT&CK, perform forensic artefact analysis, and establish scope and root cause clearly enough that the team and client can act on your findings. Author, tune, and peer-review detection content - treat detections as code (version-controlled, reviewed), translate threat intelligence into new rules, and contribute to iterative improvement of the SIEM ruleset; onboard new log sources, including cloud and application feeds, to close coverage gaps. Own sub-cycles of the intelligence lifecycle - run structured collection against defined requirements, track actor TTPs, manage indicator lifecycles, and produce situational-awareness products that inform both detection priorities and client risk decisions. Lead incident response and drive improvement - co-ordinate containment across engineering and analyst teams, communicate incident detail clearly to client stakeholders, and turn every incident into improved detection content, hardening, or runbook coverage; design for resilience by anticipating failure modes and ensuring systems degrade gracefully. Build SOAR playbooks and auto-triage - identify toil and repetition in analyst workflows, and build automation that saves the team time and improves consistency without removing human judgement where it matters. Align security operations to UK public sector standards - ensure investigations, evidence handling, and detection coverage reflect NCSC CAF Objective C, GovAssure requirements, and lawful-monitoring obligations; feed gaps back into risk governance. Mentor junior analysts and raise team standards - pair deliberately on complex investigations, review triage work, share adversary tradecraft with the team, and help create an environment where people feel safe raising concerns and learning from mistakes. Contribute to the practice beyond your immediate engagement - improve shared SOC standards and onboarding documentation, turn good solutions into reusable playbooks and accelerators the next team can pick up, contribute detection content to practice-level repositories, and engage with cross-government security communities such as NCSC CISP and relevant ISACs. Skills, knowledge and expertise Essential Hold one of the following - Systems Security Certified Practitioner (SSCP), CompTIA Security+, or an equivalent foundational operational security credential expected of Senior SOC analysts. Desirable Certifications that would strengthen your application: Certified Cloud Security Professional (CCSP) CompTIA Advanced Security Practitioner (CASP+) HTB Certified Defensive Security Analyst (HTB CDSA) Capabilities that set strong applications apart: Experience applying structured analytical techniques - ACH, key-assumptions checks, or similar, to produce rigorous, bias-resistant intelligence assessments, and comfort peer-reviewing others' analytic tradecraft. Working knowledge of cloud security event investigation and cloud detection tuning, particularly across AWS, Azure, or GCP environments, including understanding of infrastructure-level telemetry. Experience framing security findings in risk terms for non-technical stakeholders - communicating likelihood, impact, and recommended treatment clearly, and reflecting asset criticality and threat context in prioritisation decisions. Evidence of building or improving SOAR playbooks, automated triage workflows, or equivalent automation that reduced analyst toil in a SOC or detection-engineering context. Familiarity with UK government security frameworks - in particular the NCSC CAF, GovAssure, and HMG Security Policy Framework - and experience aligning detection or response work to those standards in a government or regulated environment. Experience working within an agile or Kanban-based team model, contributing to workflow improvement, running or participating in retrospectives, and helping the team improve its own practices - not just delivering within them. Experience acting as a trusted working-level contact for client security stakeholders - anchoring on their actual outcomes, raising concerns or opportunities proactively, and contributing subject-matter expertise to proposals or bids. Tools and practice familiarity: Hands-on experience with at least one major SIEM platform (for example, Splunk, Microsoft Sentinel, or Elastic Security) including writing and tuning detection rules. Familiarity with threat intelligence platforms, OSINT tooling, or indicator lifecycle management in an operational context. Made Tech sponsors attainment of recognised cyber certifications for staff in scope. If you don't yet hold the listed credentials but are actively working toward them, or can demonstrate equivalent capability through experience, we'd encourage you to apply. Job benefits SC Eligibility An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' UK residency and 5 year' employment history (or back to full-time education). Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. Support in applying If you need this job description in another format, or other support in applying, please email . We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We're collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. When you apply, we'll put you in touch with a member of our talent team who can help with any needs or adjustments we may need to make to help with your application. We've put together this blog as a resource to share more about reasonable adjustments and some examples of what this could include. We also welcome any feedback on how we can improve the experience for future candidates. Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice and neurodiversity as well as our client work and best practice. We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like many organisations, we use Slack to foster a sense of community and connection. As well as special interest groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you'd like to speak to someone from one of these groups about their experience as an employee, please do let a member of the Made Tech talent team know. We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly . click apply for full job details
JOB DESCRIPTION We're looking for a hands-on platform engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. As a Platform Engineer - Senior VP at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will design and own the platform, tooling, and infrastructure that our agentic AI and machine learning products depend on. As the team moves from shipping individual use cases to running multiple production platforms and the production tail of new use cases, you will set the engineering standard for deployment, scalability, security, and reliability, and lead the practices that keep our services running. This is a Senior VP-level role and an integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech. Job responsibilities Owns the design and build of the team's platform: deployment pipelines, model serving, containerisation, orchestration, and environment management Sets the standard for reliability, observability, and operational excellence across the team's production AI/ML services Builds the tooling and paved paths that let AI engineers ship agentic AI and ML products safely and quickly Implements platform-level security, secrets management, and access controls to firm-wide standards Partners with data and AI engineers to productionise models, and coordinates with external infrastructure functions to reduce operational dependency and risk Leads capacity, cost, and performance management for the team's compute and inference workloads Mentors platform and DevOps engineers and sets engineering standards through design and code review Champions the firm's culture of diversity, Opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Advanced proficiency in Python and infrastructure-as-code, with modern software engineering practices Deep hands-on experience with Kubernetes, containerisation, and cloud-native deployment patterns Strong CI/CD experience and a track record of building deployment and release automation Experience serving, scaling, and monitoring ML models or data-intensive services in production (MLOps) Practical experience with observability tooling (metrics, logging, tracing) and production incident response Experience operating ML / LLM workloads in production (LLMOps, inference reliability, cost/performance management) Strong communication skills and the ability to set standards other engineers adopt Industry-recognised container / Kubernetes certification (e.g., Certified Kubernetes Application Developer (CKAD), or similar) Master's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience) Preferred qualifications, capabilities, and skills Site Reliability Engineering (SRE) experience and familiarity with reliability practices (SLOs, error budgets) Experience within financial services technology Familiarity with JPM-internal platform, cloud, and AI/ML infrastructure for internal candidates ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQsfor more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.â
Aug 01, 2026
Full time
JOB DESCRIPTION We're looking for a hands-on platform engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. As a Platform Engineer - Senior VP at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will design and own the platform, tooling, and infrastructure that our agentic AI and machine learning products depend on. As the team moves from shipping individual use cases to running multiple production platforms and the production tail of new use cases, you will set the engineering standard for deployment, scalability, security, and reliability, and lead the practices that keep our services running. This is a Senior VP-level role and an integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech. Job responsibilities Owns the design and build of the team's platform: deployment pipelines, model serving, containerisation, orchestration, and environment management Sets the standard for reliability, observability, and operational excellence across the team's production AI/ML services Builds the tooling and paved paths that let AI engineers ship agentic AI and ML products safely and quickly Implements platform-level security, secrets management, and access controls to firm-wide standards Partners with data and AI engineers to productionise models, and coordinates with external infrastructure functions to reduce operational dependency and risk Leads capacity, cost, and performance management for the team's compute and inference workloads Mentors platform and DevOps engineers and sets engineering standards through design and code review Champions the firm's culture of diversity, Opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Advanced proficiency in Python and infrastructure-as-code, with modern software engineering practices Deep hands-on experience with Kubernetes, containerisation, and cloud-native deployment patterns Strong CI/CD experience and a track record of building deployment and release automation Experience serving, scaling, and monitoring ML models or data-intensive services in production (MLOps) Practical experience with observability tooling (metrics, logging, tracing) and production incident response Experience operating ML / LLM workloads in production (LLMOps, inference reliability, cost/performance management) Strong communication skills and the ability to set standards other engineers adopt Industry-recognised container / Kubernetes certification (e.g., Certified Kubernetes Application Developer (CKAD), or similar) Master's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience) Preferred qualifications, capabilities, and skills Site Reliability Engineering (SRE) experience and familiarity with reliability practices (SLOs, error budgets) Experience within financial services technology Familiarity with JPM-internal platform, cloud, and AI/ML infrastructure for internal candidates ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQsfor more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.â
Envitia is a UK-based data and digital consultancy, delivering high-impact transformation services that help organisations unlock the full value of their data. With over 30 years of experience, we combine deep technical expertise with a strong consulting approach, working in close partnership with our clients to solve complex, mission-critical challenges and deliver measurable business outcomes. Our consulting teams operate at the heart of some of the UK's most critical programmes, partnering with Central Government, Defence, and National Security organisations. We act as trusted advisors-shaping strategy, defining architectures, and leading transformation initiatives that enable our clients to harness data, from geospatial intelligence through to advanced analytics and AI. At Envitia, consulting is about more than delivery, it's about influence, impact, and long-term partnership. You'll be part of a growing, collaborative consulting practice that is focused on delivering real value, building enduring client relationships, and shaping the future of data-driven decision making in complex environments. We're also proud to have been named one of The Sunday Times Top 100 Medium Sized Companies, a reflection of our commitment to innovation, collaboration, and creating an environment where our people can thrive. The Role Envitia is looking for an AI Engineer to join our growing AI team within the Consulting function. In this role, you will design, build and deploy scalable, responsible AI and machine learning solutions that help our UK public sector clients across Defence, Government and Security / Intelligence unlock greater value from their data. Your work will transform complex information into trusted insights, decision support tools and operational advantage. This is a hands on delivery role working across a variety of client engagements, from machine learning and predictive analytics through to cutting edge Generative AI applications. You will develop production ready AI solutions, contribute to the evolution of our MLOps capabilities and reusable accelerators, and help shape innovative proof of concepts and client proposals that showcase Envitia's AI expertise. Working within multidisciplinary teams, you will collaborate closely with data engineers, software engineers, analysts, visualisation specialists and consultants, supported by a developing AI Community of Practice. Typical engagements include: Designing, developing and deploying machine learning and AI solutions to solve complex operational challenges. Developing scalable data pipelines and AI services that transform structured and unstructured data into actionable insights. Implementing MLOps practices to support model deployment, monitoring, governance and continuous improvement. Applying Natural Language Processing (NLP), predictive analytics and decision support techniques to mission critical use cases. Developing API driven AI services and integrating AI capabilities into enterprise and operational systems. Delivering cloud native and containerised AI solutions within secure environments. Working with clients to identify opportunities for AI adoption and translate business challenges into practical technical solutions. Responsibilities Design, develop, train and deploy machine learning and AI models, including predictive analytics, natural language processing (NLP), computer vision and Generative AI solutions, to support client mission and business outcomes. Build scalable, reusable AI products, accelerators and solution components that can be deployed across multiple client engagements, improving delivery efficiency and consistency. Develop and integrate Generative AI and large language model (LLM) capabilities using platforms such as Azure AI Foundry and Azure OpenAI, ensuring solutions are secure, responsible and aligned to client requirements. Implement and continuously improve MLOps practices, including model deployment, monitoring, governance, retraining and lifecycle management, to ensure reliable production operation of AI systems. Engineer features, datasets and data pipelines across structured and unstructured data sources, working closely with data engineers and analysts to deliver actionable insights. Apply responsible AI principles, ensuring fairness, transparency, explainability, security and compliance throughout the AI solution lifecycle. Collaborate with consultants, technical specialists and client stakeholders to understand operational challenges and translate them into practical, value driven AI solutions. Contribute to technical proposals, demonstrations, proof of concepts and thought leadership activities that showcase Envitia's AI capabilities and support business growth. Stay current with emerging AI technologies, frameworks and best practices, identifying opportunities to enhance Envitia's capabilities and client offerings. Support knowledge sharing, mentoring and capability development across the AI team, wider Consulting function and AI Community of Practice. Experience Required Essential Strong Python programming and hands on experience with core ML/AI libraries (for example scikit learn, TensorFlow, PyTorch). Practical experience developing, training and evaluating machine learning, NLP and predictive models. Experience deploying AI/ML in the cloud, particularly Microsoft Azure (Azure AI/ML, Azure AI Foundry / Azure OpenAI). Working knowledge of Generative AI / large language models and prompt engineering applied to practical use cases. Understanding of MLOps practices for model deployment, monitoring and lifecycle management. Solid data engineering skills across structured and unstructured data, with awareness of responsible AI, data governance and security; strong communication skills for technical and non technical audiences. Desirable Experience in a consulting or client facing delivery environment. Exposure to data visualisation (Power BI, Tableau) and rapid front end prototyping (Streamlit, Flask, Django, Figma). Experience working with geospatial data. Experience delivering within the UK public sector, Defence or National Security. Exposure to Databricks and/or Snowflake. A relevant degree (Computer Science, Data Science, AI/ML or related) or equivalent practical experience. Security Clearance Requirements The successful candidate must be eligible to obtain and maintain a SC level security clearance. Location The role will require travel to our Horsham offices 2 days a month as well as travel to customer sites in the UK when required. What it's like to work at Envitia At Envitia, we believe that our greatest asset is our people. We're committed to fostering a work environment where every employee feels valued, supported, and motivated to excel. Our comprehensive benefits package is designed to enhance both your professional and personal wellbeing, including: Annual Leave: 25 days plus your birthday off, with the ability to buy or sell up to five additional days Private Healthcare: Comprehensive coverage with additional options for family members Training & Skills Development: Ongoing learning opportunities to help you advance your career Fitness Reimbursement: Support for gym memberships or fitness related expenses Life Assurance: Extensive life insurance coverage for peace of mind Pension Contribution: Competitive options to help you plan for a secure financial future Perkbox Subscription: Discounts on a wide range of products and services Flexible Work Arrangements: Designed to support work life balance and personal commitments Internal Reward Schemes: Recognition initiatives to celebrate your contributions and achievements Community Engagement & Volunteering: Opportunities to support meaningful causes through company sponsored programs Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
Jul 31, 2026
Full time
Envitia is a UK-based data and digital consultancy, delivering high-impact transformation services that help organisations unlock the full value of their data. With over 30 years of experience, we combine deep technical expertise with a strong consulting approach, working in close partnership with our clients to solve complex, mission-critical challenges and deliver measurable business outcomes. Our consulting teams operate at the heart of some of the UK's most critical programmes, partnering with Central Government, Defence, and National Security organisations. We act as trusted advisors-shaping strategy, defining architectures, and leading transformation initiatives that enable our clients to harness data, from geospatial intelligence through to advanced analytics and AI. At Envitia, consulting is about more than delivery, it's about influence, impact, and long-term partnership. You'll be part of a growing, collaborative consulting practice that is focused on delivering real value, building enduring client relationships, and shaping the future of data-driven decision making in complex environments. We're also proud to have been named one of The Sunday Times Top 100 Medium Sized Companies, a reflection of our commitment to innovation, collaboration, and creating an environment where our people can thrive. The Role Envitia is looking for an AI Engineer to join our growing AI team within the Consulting function. In this role, you will design, build and deploy scalable, responsible AI and machine learning solutions that help our UK public sector clients across Defence, Government and Security / Intelligence unlock greater value from their data. Your work will transform complex information into trusted insights, decision support tools and operational advantage. This is a hands on delivery role working across a variety of client engagements, from machine learning and predictive analytics through to cutting edge Generative AI applications. You will develop production ready AI solutions, contribute to the evolution of our MLOps capabilities and reusable accelerators, and help shape innovative proof of concepts and client proposals that showcase Envitia's AI expertise. Working within multidisciplinary teams, you will collaborate closely with data engineers, software engineers, analysts, visualisation specialists and consultants, supported by a developing AI Community of Practice. Typical engagements include: Designing, developing and deploying machine learning and AI solutions to solve complex operational challenges. Developing scalable data pipelines and AI services that transform structured and unstructured data into actionable insights. Implementing MLOps practices to support model deployment, monitoring, governance and continuous improvement. Applying Natural Language Processing (NLP), predictive analytics and decision support techniques to mission critical use cases. Developing API driven AI services and integrating AI capabilities into enterprise and operational systems. Delivering cloud native and containerised AI solutions within secure environments. Working with clients to identify opportunities for AI adoption and translate business challenges into practical technical solutions. Responsibilities Design, develop, train and deploy machine learning and AI models, including predictive analytics, natural language processing (NLP), computer vision and Generative AI solutions, to support client mission and business outcomes. Build scalable, reusable AI products, accelerators and solution components that can be deployed across multiple client engagements, improving delivery efficiency and consistency. Develop and integrate Generative AI and large language model (LLM) capabilities using platforms such as Azure AI Foundry and Azure OpenAI, ensuring solutions are secure, responsible and aligned to client requirements. Implement and continuously improve MLOps practices, including model deployment, monitoring, governance, retraining and lifecycle management, to ensure reliable production operation of AI systems. Engineer features, datasets and data pipelines across structured and unstructured data sources, working closely with data engineers and analysts to deliver actionable insights. Apply responsible AI principles, ensuring fairness, transparency, explainability, security and compliance throughout the AI solution lifecycle. Collaborate with consultants, technical specialists and client stakeholders to understand operational challenges and translate them into practical, value driven AI solutions. Contribute to technical proposals, demonstrations, proof of concepts and thought leadership activities that showcase Envitia's AI capabilities and support business growth. Stay current with emerging AI technologies, frameworks and best practices, identifying opportunities to enhance Envitia's capabilities and client offerings. Support knowledge sharing, mentoring and capability development across the AI team, wider Consulting function and AI Community of Practice. Experience Required Essential Strong Python programming and hands on experience with core ML/AI libraries (for example scikit learn, TensorFlow, PyTorch). Practical experience developing, training and evaluating machine learning, NLP and predictive models. Experience deploying AI/ML in the cloud, particularly Microsoft Azure (Azure AI/ML, Azure AI Foundry / Azure OpenAI). Working knowledge of Generative AI / large language models and prompt engineering applied to practical use cases. Understanding of MLOps practices for model deployment, monitoring and lifecycle management. Solid data engineering skills across structured and unstructured data, with awareness of responsible AI, data governance and security; strong communication skills for technical and non technical audiences. Desirable Experience in a consulting or client facing delivery environment. Exposure to data visualisation (Power BI, Tableau) and rapid front end prototyping (Streamlit, Flask, Django, Figma). Experience working with geospatial data. Experience delivering within the UK public sector, Defence or National Security. Exposure to Databricks and/or Snowflake. A relevant degree (Computer Science, Data Science, AI/ML or related) or equivalent practical experience. Security Clearance Requirements The successful candidate must be eligible to obtain and maintain a SC level security clearance. Location The role will require travel to our Horsham offices 2 days a month as well as travel to customer sites in the UK when required. What it's like to work at Envitia At Envitia, we believe that our greatest asset is our people. We're committed to fostering a work environment where every employee feels valued, supported, and motivated to excel. Our comprehensive benefits package is designed to enhance both your professional and personal wellbeing, including: Annual Leave: 25 days plus your birthday off, with the ability to buy or sell up to five additional days Private Healthcare: Comprehensive coverage with additional options for family members Training & Skills Development: Ongoing learning opportunities to help you advance your career Fitness Reimbursement: Support for gym memberships or fitness related expenses Life Assurance: Extensive life insurance coverage for peace of mind Pension Contribution: Competitive options to help you plan for a secure financial future Perkbox Subscription: Discounts on a wide range of products and services Flexible Work Arrangements: Designed to support work life balance and personal commitments Internal Reward Schemes: Recognition initiatives to celebrate your contributions and achievements Community Engagement & Volunteering: Opportunities to support meaningful causes through company sponsored programs Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting-edge, production-grade AI solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business-specific Use Case solutions. Collaborating with the Data Platform to team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions. Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality and reliability of AI solutions deployed on the platform. Support, govern and enable company-wide adoption of emerging AI technologies. Purpose of the role We are seeking a pragmatic, highly technical individual to lead the engineering efforts within our Agentic Factory. Sitting directly alongside our AI Delivery Manager and AI Product Owner, you will bridge the gap between business requirements and technical execution. Together with the AI & Data Architect, you will provide architectural oversight, defining engineering best practices, and mentoring a talented team of AI engineers & Data Scientists, while remaining hands-on enough to solve complex engineering bottlenecks; You will support Use Case Design and feasibility assessments, ensuring opportunities explored are achievable and scalable. You will support the Head of Engineering as the execution arm for AI responsibilities, extending your focus beyond the AI team to support and enable other IT teams across the organisation. Responsibilities Technical Leadership & Engineering Design Agentic Systems: Design and scale robust, secure, and production-ready multi-agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions, spanning from piloting to full implementation. Define Engineering Excellence: Establish strict coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications. Support and strictly enforce the standards set by the Head of Engineering and Technical Architect. Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost-effective model deployment via Vertex AI and containerized environments. Take ownership of building and maintaining robust LLMOps pipelines. AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise-grade safety, security, and compliance. AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise-grade safety, security, and compliance. Internal AI Enablement & Prompt Lifecycle: Manage the engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal developer-facing AI assets, including prompt libraries and automated testing agents. Team Mentorship & Delivery Grow the team: Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility. Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable technical sprints. Drive MVP to Production: Shift the team's focus from sandboxed proof-of-concepts (PoCs) to reliable, resilient applications deployed to production for global users, leading AI engineering for AI team solutions and actively supporting junior engineers through this transition. Evolve AI Maturity Support the company's evolving AI strategy, providing an expert voice on Use Case identification, platform identification and tool selection. Advise the AI portfolio Lead in scaling impact and AI capability across the company, beyond the Group AI Team. Stay up to date on market trends, new opportunities, and the changing landscape of AI technologies. Experience AI Orchestration & Development: Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natura
Jul 31, 2026
Full time
As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting-edge, production-grade AI solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business-specific Use Case solutions. Collaborating with the Data Platform to team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions. Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality and reliability of AI solutions deployed on the platform. Support, govern and enable company-wide adoption of emerging AI technologies. Purpose of the role We are seeking a pragmatic, highly technical individual to lead the engineering efforts within our Agentic Factory. Sitting directly alongside our AI Delivery Manager and AI Product Owner, you will bridge the gap between business requirements and technical execution. Together with the AI & Data Architect, you will provide architectural oversight, defining engineering best practices, and mentoring a talented team of AI engineers & Data Scientists, while remaining hands-on enough to solve complex engineering bottlenecks; You will support Use Case Design and feasibility assessments, ensuring opportunities explored are achievable and scalable. You will support the Head of Engineering as the execution arm for AI responsibilities, extending your focus beyond the AI team to support and enable other IT teams across the organisation. Responsibilities Technical Leadership & Engineering Design Agentic Systems: Design and scale robust, secure, and production-ready multi-agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions, spanning from piloting to full implementation. Define Engineering Excellence: Establish strict coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications. Support and strictly enforce the standards set by the Head of Engineering and Technical Architect. Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost-effective model deployment via Vertex AI and containerized environments. Take ownership of building and maintaining robust LLMOps pipelines. AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise-grade safety, security, and compliance. AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise-grade safety, security, and compliance. Internal AI Enablement & Prompt Lifecycle: Manage the engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal developer-facing AI assets, including prompt libraries and automated testing agents. Team Mentorship & Delivery Grow the team: Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility. Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable technical sprints. Drive MVP to Production: Shift the team's focus from sandboxed proof-of-concepts (PoCs) to reliable, resilient applications deployed to production for global users, leading AI engineering for AI team solutions and actively supporting junior engineers through this transition. Evolve AI Maturity Support the company's evolving AI strategy, providing an expert voice on Use Case identification, platform identification and tool selection. Advise the AI portfolio Lead in scaling impact and AI capability across the company, beyond the Group AI Team. Stay up to date on market trends, new opportunities, and the changing landscape of AI technologies. Experience AI Orchestration & Development: Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natura
About the Role Grade Level (for internal use): 11. The Team: Corporates Credit Ratings is part of the Global Ratings Services team, comprising analysts across financial hubs worldwide. We assess the creditworthiness of companies by analysing business risk, strategy, competitive position, and financial performance to produce opinions that support decision-making. The team leverages AI-enabled tools while maintaining governance, risk management, and integrity.The Impact: Our values-Discovery, Integrity, and Partnership-shape how we work and earn trust. We embrace AI as an enabler, guided by governance, to enhance the intelligence of our people and trusted insights.What You Stand to Gain: Contribute to independent credit opinions and benefit from ongoing learning and development. What We're Looking For We welcome candidates who demonstrate strong collaboration, analytical rigor, and the ability to integrate AI/LLM tooling into credit analysis within a governance framework. Responsibilities Team Contribution & Capability Building: Provide day-to-day guidance to Research Assistants and Rating Analysts; build capability in credit, data discipline, and tooling; promote values-led behaviours. Drive consistency and scalability by codifying standard work and promoting disciplined adoption; strengthen trusted, repeatable insights. Enhance AI-enabled productivity by creating reusable assets and suggesting lightweight automations that free capacity for analysis and relationship work. Foster continuous improvement by removing manual steps without compromising governance or judgement. Partner with senior team members and Data/Engineering to identify and scale AI/automation use cases with governance-by-design and adoption support. Core Analytical & Delivery: Lead end-to-end execution for assigned credits, ensuring high-quality analysis and timely delivery with clear accountability. Own surveillance/updates for assigned portfolio; synthesise performance, market signals, and peer context into decision-useful insights and risk implications. Support the integration of LLM tools/automation to accelerate workflows, followed by structured validation and refinement. Prepare/review inputs, reconcile metrics, document assumptions/changes to ensure adherence to methodologies and standard operating procedures. Prepare/review outputs ensuring clarity and alignment to sector frameworks and evidentiary standards; support model maintenance for robustness and repeatability. Stakeholder & Market Engagement: Engage with external parties; craft client- and executive-ready stories translating complex data and research into clear narratives. Advising within clear parameters; communicate complex information to convey S&P's analytical expertise and engage market participants. Build trusted relationships through collaborative and adaptable delivery; maintain professional communication with stakeholders. Risk Management and Operating: Adhere to methodology and data governance; escalate issues early with options/recommendations to protect integrity and trust. Embed responsible AI use with approved tools/data; protect confidential information. Support controlled automation/agent workflows, contribute to design requirements and tests, and train others. Define guardrails for automation, identifying what can be automated versus what must remain human-led, especially for material risk calls. Qualifications Team Contribution & Capability Building: Ownership and execution maturity across multiple credits; strong collaboration and values-led behaviour; coaching to improve consistency. AI fluency with judgment; ability to apply practical AI/LLMs/agents to workflows. Core Analytical & Delivery: Strong credit/financial/risk analysis; experience embedding AI/LLMs into workflows; ability to learn data/automation tools. Stakeholder & Market Engagement: Synthesis into concise narratives for senior stakeholders; clear written and verbal communication. Risk Management and Operating: High standards for quality, traceability, and governance; sound judgment on responsible AI use; ability to contribute to scalable automation/agent workflows. Additional Information An S&P Global employee at this level would typically have three to five years of relevant work experience. Education: Bachelor's degree or equivalent required; a master's degree or professional certification (such as CFA) is highly valued. Office requirement: employees are expected to work from the office a minimum of two days per week. Final-stage interviews may include in-person interviews at an S&P Global Ratings office before an offer is extended. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights to translate complexity into clarity. We enable growth across organizations, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). We are a leading provider of credit ratings, benchmarks, analytics, and workflow solutions globally. Benefits Health & Wellness: Healthcare coverage for mind and body. Flexible Downtime: Generous time off. Continuous Learning: Resources to grow your career. Invest in Your Future: Competitive pay, retirement planning, and education benefits. Family Friendly Perks: Benefits for partners and dependents. Equal Opportunity Employer: S&P Global is an equal opportunity employer. If you need an accommodation during the application process, please email . Employment is contingent upon compliance with policy and security requirements. For recruitment fraud awareness, do not respond to suspicious emails or requests for payment.
Jul 31, 2026
Full time
About the Role Grade Level (for internal use): 11. The Team: Corporates Credit Ratings is part of the Global Ratings Services team, comprising analysts across financial hubs worldwide. We assess the creditworthiness of companies by analysing business risk, strategy, competitive position, and financial performance to produce opinions that support decision-making. The team leverages AI-enabled tools while maintaining governance, risk management, and integrity.The Impact: Our values-Discovery, Integrity, and Partnership-shape how we work and earn trust. We embrace AI as an enabler, guided by governance, to enhance the intelligence of our people and trusted insights.What You Stand to Gain: Contribute to independent credit opinions and benefit from ongoing learning and development. What We're Looking For We welcome candidates who demonstrate strong collaboration, analytical rigor, and the ability to integrate AI/LLM tooling into credit analysis within a governance framework. Responsibilities Team Contribution & Capability Building: Provide day-to-day guidance to Research Assistants and Rating Analysts; build capability in credit, data discipline, and tooling; promote values-led behaviours. Drive consistency and scalability by codifying standard work and promoting disciplined adoption; strengthen trusted, repeatable insights. Enhance AI-enabled productivity by creating reusable assets and suggesting lightweight automations that free capacity for analysis and relationship work. Foster continuous improvement by removing manual steps without compromising governance or judgement. Partner with senior team members and Data/Engineering to identify and scale AI/automation use cases with governance-by-design and adoption support. Core Analytical & Delivery: Lead end-to-end execution for assigned credits, ensuring high-quality analysis and timely delivery with clear accountability. Own surveillance/updates for assigned portfolio; synthesise performance, market signals, and peer context into decision-useful insights and risk implications. Support the integration of LLM tools/automation to accelerate workflows, followed by structured validation and refinement. Prepare/review inputs, reconcile metrics, document assumptions/changes to ensure adherence to methodologies and standard operating procedures. Prepare/review outputs ensuring clarity and alignment to sector frameworks and evidentiary standards; support model maintenance for robustness and repeatability. Stakeholder & Market Engagement: Engage with external parties; craft client- and executive-ready stories translating complex data and research into clear narratives. Advising within clear parameters; communicate complex information to convey S&P's analytical expertise and engage market participants. Build trusted relationships through collaborative and adaptable delivery; maintain professional communication with stakeholders. Risk Management and Operating: Adhere to methodology and data governance; escalate issues early with options/recommendations to protect integrity and trust. Embed responsible AI use with approved tools/data; protect confidential information. Support controlled automation/agent workflows, contribute to design requirements and tests, and train others. Define guardrails for automation, identifying what can be automated versus what must remain human-led, especially for material risk calls. Qualifications Team Contribution & Capability Building: Ownership and execution maturity across multiple credits; strong collaboration and values-led behaviour; coaching to improve consistency. AI fluency with judgment; ability to apply practical AI/LLMs/agents to workflows. Core Analytical & Delivery: Strong credit/financial/risk analysis; experience embedding AI/LLMs into workflows; ability to learn data/automation tools. Stakeholder & Market Engagement: Synthesis into concise narratives for senior stakeholders; clear written and verbal communication. Risk Management and Operating: High standards for quality, traceability, and governance; sound judgment on responsible AI use; ability to contribute to scalable automation/agent workflows. Additional Information An S&P Global employee at this level would typically have three to five years of relevant work experience. Education: Bachelor's degree or equivalent required; a master's degree or professional certification (such as CFA) is highly valued. Office requirement: employees are expected to work from the office a minimum of two days per week. Final-stage interviews may include in-person interviews at an S&P Global Ratings office before an offer is extended. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights to translate complexity into clarity. We enable growth across organizations, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). We are a leading provider of credit ratings, benchmarks, analytics, and workflow solutions globally. Benefits Health & Wellness: Healthcare coverage for mind and body. Flexible Downtime: Generous time off. Continuous Learning: Resources to grow your career. Invest in Your Future: Competitive pay, retirement planning, and education benefits. Family Friendly Perks: Benefits for partners and dependents. Equal Opportunity Employer: S&P Global is an equal opportunity employer. If you need an accommodation during the application process, please email . Employment is contingent upon compliance with policy and security requirements. For recruitment fraud awareness, do not respond to suspicious emails or requests for payment.
Rentokil Pest Control South Africa
Crawley, Sussex
As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting edge, production-grade AI solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business specific Use Case solutions. Collaborating with the Data Platform to team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions. Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality and reliability of AI solutions deployed on the platform. Support, govern and enable company wide adoption of emerging AI technologies. Purpose of the role We are seeking a pragmatic, highly technical individual to lead the engineering efforts within our Agentic Factory. Sitting directly alongside our AI Delivery Manager and AI Product Owner, you will bridge the gap between business requirements and technical execution. Together with the AI & Data Architect, you will provide architectural oversight, defining engineering best practices, and mentoring a talented team of AI engineers & Data Scientists, while remaining hands on enough to solve complex engineering bottlenecks; You'll support Use Case Design and feasibility assessments, ensuring opportunities explored are achievable and scalable. You will support the Head of Engineering as the execution arm for AI responsibilities, extending your focus beyond the AI team to support and enable other IT teams across the organisation. Responsibilities Technical Leadership & Engineering Design Agentic Systems: Design and scale robust, secure, and production ready multi agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions, spanning from piloting to full implementation Define Engineering Excellence: Establish strict coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications. Support and strictly enforce the standards set by the Head of Engineering and Technical Architect Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost effective model deployment via Vertex AI and containerized environments. Take ownership of building and maintaining robust LLMOps pipelines. AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise grade safety, security, and compliance. AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise grade safety, security, and compliance. Internal AI Enablement & Prompt Lifecycle: Manage the engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal developer facing AI assets, including prompt libraries and automated testing agents. Team Mentorship & Delivery Grow the team: Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility. Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable technical sprints. Drive MVP to Production: Shift the team's focus from sandboxed proof of concepts (PoCs) to reliable, resilient applications deployed to production for global users, leading AI engineering for AI team solutions and actively supporting junior engineers through this transition. Evolve AI Maturity Support the company's evolving AI strategy, providing an expert voice on Use Case identification, platform identification and tool selection. Advise the AI portfolio Lead in scaling impact and AI capability across the company, beyond the Group AI Team. Stay up to date on market trends, new opportunities, and the changing landscape of AI technologies. Requirements Experience AI Orchestration & Development: Expert-level experience building complex LLM powered systems and multi agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Team Leadership & Mentorship: Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate engineering talent. Knowledge & Skills Autonomy: Works with high autonomy under broad strategic guidance. Accountable for defining and meeting technical, architectural, and delivery goals, establishing milestones, and assigning tasks. Influence: Exerts major technical influence across the organization, partners, and peers. Partners with cross functional business and product leaders, making key architectural decisions that affect budgets, timelines, and scalability. Complexity: Manages diverse, highly complex, and unpredictable technical challenges. Uses fundamental engineering principles to connect cutting edge AI research with practical enterprise software. Business Skills: Advises executives on AI trends, risks, and tools. Bridges the gap between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem solving. Technical Expertise & Tools Python: Advanced, production grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimization strategies for large scale BigQuery environments. Relevant Qualifications Desirable: Google Cloud Certified Cloud Engineer Google Cloud Certified Professional Data Engineer / Cloud AI Engineer Degree Qualification or Equivalent: A Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a highly quantitative field is desirable; however, a proven track record of architecting and shipping production grade commercial AI systems is highly valued and may substitute for specific academic credentials. IT HNC/HND courses will also be accepted. Benefits Competitive salary and bonus scheme Hybrid working Rentokil Initial Reward Scheme 23 days holiday, plus 8 bank holidays Employee Assistance Programme Death in service benefit Healthcare Free parking At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute. We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to () if you need anything
Jul 31, 2026
Full time
As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting edge, production-grade AI solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business specific Use Case solutions. Collaborating with the Data Platform to team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions. Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality and reliability of AI solutions deployed on the platform. Support, govern and enable company wide adoption of emerging AI technologies. Purpose of the role We are seeking a pragmatic, highly technical individual to lead the engineering efforts within our Agentic Factory. Sitting directly alongside our AI Delivery Manager and AI Product Owner, you will bridge the gap between business requirements and technical execution. Together with the AI & Data Architect, you will provide architectural oversight, defining engineering best practices, and mentoring a talented team of AI engineers & Data Scientists, while remaining hands on enough to solve complex engineering bottlenecks; You'll support Use Case Design and feasibility assessments, ensuring opportunities explored are achievable and scalable. You will support the Head of Engineering as the execution arm for AI responsibilities, extending your focus beyond the AI team to support and enable other IT teams across the organisation. Responsibilities Technical Leadership & Engineering Design Agentic Systems: Design and scale robust, secure, and production ready multi agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions, spanning from piloting to full implementation Define Engineering Excellence: Establish strict coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications. Support and strictly enforce the standards set by the Head of Engineering and Technical Architect Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost effective model deployment via Vertex AI and containerized environments. Take ownership of building and maintaining robust LLMOps pipelines. AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise grade safety, security, and compliance. AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise grade safety, security, and compliance. Internal AI Enablement & Prompt Lifecycle: Manage the engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal developer facing AI assets, including prompt libraries and automated testing agents. Team Mentorship & Delivery Grow the team: Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility. Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable technical sprints. Drive MVP to Production: Shift the team's focus from sandboxed proof of concepts (PoCs) to reliable, resilient applications deployed to production for global users, leading AI engineering for AI team solutions and actively supporting junior engineers through this transition. Evolve AI Maturity Support the company's evolving AI strategy, providing an expert voice on Use Case identification, platform identification and tool selection. Advise the AI portfolio Lead in scaling impact and AI capability across the company, beyond the Group AI Team. Stay up to date on market trends, new opportunities, and the changing landscape of AI technologies. Requirements Experience AI Orchestration & Development: Expert-level experience building complex LLM powered systems and multi agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Team Leadership & Mentorship: Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate engineering talent. Knowledge & Skills Autonomy: Works with high autonomy under broad strategic guidance. Accountable for defining and meeting technical, architectural, and delivery goals, establishing milestones, and assigning tasks. Influence: Exerts major technical influence across the organization, partners, and peers. Partners with cross functional business and product leaders, making key architectural decisions that affect budgets, timelines, and scalability. Complexity: Manages diverse, highly complex, and unpredictable technical challenges. Uses fundamental engineering principles to connect cutting edge AI research with practical enterprise software. Business Skills: Advises executives on AI trends, risks, and tools. Bridges the gap between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem solving. Technical Expertise & Tools Python: Advanced, production grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimization strategies for large scale BigQuery environments. Relevant Qualifications Desirable: Google Cloud Certified Cloud Engineer Google Cloud Certified Professional Data Engineer / Cloud AI Engineer Degree Qualification or Equivalent: A Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a highly quantitative field is desirable; however, a proven track record of architecting and shipping production grade commercial AI systems is highly valued and may substitute for specific academic credentials. IT HNC/HND courses will also be accepted. Benefits Competitive salary and bonus scheme Hybrid working Rentokil Initial Reward Scheme 23 days holiday, plus 8 bank holidays Employee Assistance Programme Death in service benefit Healthcare Free parking At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute. We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to () if you need anything
EMEA Sr. Solutions Architect, Applied AI for Supply Chain, Applied AI Solutions Decisions GTM Job ID: AWS EMEA SARL (UK Branch) This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. Are you passionate about revolutionizing how enterprises make decisions through the power of artificial intelligence? Do you envision a future where agentic AI transforms entire business operations across industries? Then come help us shape the future of enterprise decision-making at AWS. As a Specialist Solutions Architect, you will be at the forefront of a fundamental reimagining of enterprise decision making and planning, targeting a rapidly expanding agentic AI market for supply chain. You will drive the architectural vision for solutions that span multiple domains across enterprise customer's planning and decisioning teams for Amazon Connect Decisions adoption. You will own the design and delivery of entire programs of customer solutions, creating new patterns and methodologies that become industry standards. Operating with autonomy and independence, you'll tackle significantly complex problems in emerging or novel areas, simplifying them into elegant solutions that become reference designs for the future! Internally, you will be both the voice of the customer and a technical asset, working directly with AWS product teams to shape our roadmap, while also leading the creation of thought leadership content that defines how AWS communicates its technology to customers. Your influence will extend to company-wide impact, driving transformative solutions at scale. Key job responsibilities Lead the development of enterprise-wide agentic AI architectures and frameworks that span multiple domains Collaborate with C-suite and VP-level stakeholders to shape both technical and business strategies Design and validate reference architectures that become industry standards for applying AI in business process optimization Drive clarity in ambiguous situations, leading large organizational or multi-country initiatives Mentor and develop other Solutions Architects, contributing to the growth of technical excellence across AWS About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience 3+ years of design, implementation, or consulting in applications and infrastructures experience Experience migrating or transforming legacy customer solutions to the cloud Preferred Qualifications 5+ years of infrastructure architecture, database architecture and networking experience Experience working with end user or developer communities Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jul 31, 2026
Full time
EMEA Sr. Solutions Architect, Applied AI for Supply Chain, Applied AI Solutions Decisions GTM Job ID: AWS EMEA SARL (UK Branch) This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. Are you passionate about revolutionizing how enterprises make decisions through the power of artificial intelligence? Do you envision a future where agentic AI transforms entire business operations across industries? Then come help us shape the future of enterprise decision-making at AWS. As a Specialist Solutions Architect, you will be at the forefront of a fundamental reimagining of enterprise decision making and planning, targeting a rapidly expanding agentic AI market for supply chain. You will drive the architectural vision for solutions that span multiple domains across enterprise customer's planning and decisioning teams for Amazon Connect Decisions adoption. You will own the design and delivery of entire programs of customer solutions, creating new patterns and methodologies that become industry standards. Operating with autonomy and independence, you'll tackle significantly complex problems in emerging or novel areas, simplifying them into elegant solutions that become reference designs for the future! Internally, you will be both the voice of the customer and a technical asset, working directly with AWS product teams to shape our roadmap, while also leading the creation of thought leadership content that defines how AWS communicates its technology to customers. Your influence will extend to company-wide impact, driving transformative solutions at scale. Key job responsibilities Lead the development of enterprise-wide agentic AI architectures and frameworks that span multiple domains Collaborate with C-suite and VP-level stakeholders to shape both technical and business strategies Design and validate reference architectures that become industry standards for applying AI in business process optimization Drive clarity in ambiguous situations, leading large organizational or multi-country initiatives Mentor and develop other Solutions Architects, contributing to the growth of technical excellence across AWS About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience 3+ years of design, implementation, or consulting in applications and infrastructures experience Experience migrating or transforming legacy customer solutions to the cloud Preferred Qualifications 5+ years of infrastructure architecture, database architecture and networking experience Experience working with end user or developer communities Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Role Title: Network Infrastructure Specialist / Assoc Manager Location: London Salary: Competitive salary and package dependent on experience Career Level: Specialist / Associate Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide for its inclusion in and diversity in business performance. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." -Julie Sweet, Accenture CEO Network Infrastructure Specialist/Associate Manager We are seeking a highly skilled and experienced Network Analyst/Architect to join our dynamic IT team. The ideal candidate will play a crucial role in designing, implementing, and optimizing our enterprise network infrastructure, with a strong focus on cloud networking, automation techniques, and traditional network architectures. You will be responsible for ensuring the seamless integration of cloud-based and on-premise networking technologies, driving performance, scalability, and security across the entire network environment. This position demands a forward-thinking professional who can lead in developing innovative solutions while maintaining and improving our current systems. You will collaborate with IT colleagues, external vendors, and key business stakeholders to ensure that the network infrastructure aligns with our organization's strategic goals and technology initiatives. Key Responsibilities Design, Implement, and Manage Network Infrastructure Lead the design and deployment of robust, scalable, and high-performing network architectures, including LAN, WAN, WiFi, and cloud networking solutions. Expertise in routing, switching, and network segmentation to support business operations across multiple sites and cloud environments. Design and implement secure network architectures to meet the evolving needs of a hybrid cloud environment. Cloud Networking Expertise: Architect and manage cloud-based network solutions (e.g., AWS, Azure, GCP) to support a range of applications and workloads. Ensure high availability and performance of network services in cloud environments, leveraging virtual network functions, VPNs, and direct connections. Design cloud-to-cloud and hybrid cloud architectures with a focus on security and cost optimization. Automation and Scripting: Leverage automation tools and scripting (e.g., Ansible, Python, Terraform) to enhance network deployment, configuration management, and ongoing network operations. Develop network automation strategies to improve efficiency, reduce human error, and minimize downtime. Collaborate with DevOps teams to integrate network automation within broader infrastructure-as-code (IaC) practices. Network Monitoring and Troubleshooting: Continuously monitor and analyze network performance using various network management tools, identifying and resolving network issues to ensure uptime and stability. Provide proactive troubleshooting for complex networking issues, ensuring minimal disruption to business operations. Security and Compliance: Implement and enforce network security policies and procedures to safeguard the integrity and confidentiality of organizational data. Ensure compliance with industry standards, including NIST, PCI-DSS, and GDPR, by enforcing firewall, VPN, and other security measures. Collaboration and Leadership: Work closely with cross-functional teams, including cybersecurity, cloud architects, systems engineers, and external vendors to optimize network operations. Mentor junior network engineers and provide technical leadership on large-scale network projects. Experience with Artificially Intelligence and its application/use on Networkling infrastructure About Accenture Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you'll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that's why we offer support any way we can-when you thrive, we all thrive. Explore your next step at Accenture Belong. Grow. Thrive. Join a great place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture
Jul 30, 2026
Full time
Role Title: Network Infrastructure Specialist / Assoc Manager Location: London Salary: Competitive salary and package dependent on experience Career Level: Specialist / Associate Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide for its inclusion in and diversity in business performance. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." -Julie Sweet, Accenture CEO Network Infrastructure Specialist/Associate Manager We are seeking a highly skilled and experienced Network Analyst/Architect to join our dynamic IT team. The ideal candidate will play a crucial role in designing, implementing, and optimizing our enterprise network infrastructure, with a strong focus on cloud networking, automation techniques, and traditional network architectures. You will be responsible for ensuring the seamless integration of cloud-based and on-premise networking technologies, driving performance, scalability, and security across the entire network environment. This position demands a forward-thinking professional who can lead in developing innovative solutions while maintaining and improving our current systems. You will collaborate with IT colleagues, external vendors, and key business stakeholders to ensure that the network infrastructure aligns with our organization's strategic goals and technology initiatives. Key Responsibilities Design, Implement, and Manage Network Infrastructure Lead the design and deployment of robust, scalable, and high-performing network architectures, including LAN, WAN, WiFi, and cloud networking solutions. Expertise in routing, switching, and network segmentation to support business operations across multiple sites and cloud environments. Design and implement secure network architectures to meet the evolving needs of a hybrid cloud environment. Cloud Networking Expertise: Architect and manage cloud-based network solutions (e.g., AWS, Azure, GCP) to support a range of applications and workloads. Ensure high availability and performance of network services in cloud environments, leveraging virtual network functions, VPNs, and direct connections. Design cloud-to-cloud and hybrid cloud architectures with a focus on security and cost optimization. Automation and Scripting: Leverage automation tools and scripting (e.g., Ansible, Python, Terraform) to enhance network deployment, configuration management, and ongoing network operations. Develop network automation strategies to improve efficiency, reduce human error, and minimize downtime. Collaborate with DevOps teams to integrate network automation within broader infrastructure-as-code (IaC) practices. Network Monitoring and Troubleshooting: Continuously monitor and analyze network performance using various network management tools, identifying and resolving network issues to ensure uptime and stability. Provide proactive troubleshooting for complex networking issues, ensuring minimal disruption to business operations. Security and Compliance: Implement and enforce network security policies and procedures to safeguard the integrity and confidentiality of organizational data. Ensure compliance with industry standards, including NIST, PCI-DSS, and GDPR, by enforcing firewall, VPN, and other security measures. Collaboration and Leadership: Work closely with cross-functional teams, including cybersecurity, cloud architects, systems engineers, and external vendors to optimize network operations. Mentor junior network engineers and provide technical leadership on large-scale network projects. Experience with Artificially Intelligence and its application/use on Networkling infrastructure About Accenture Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you'll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that's why we offer support any way we can-when you thrive, we all thrive. Explore your next step at Accenture Belong. Grow. Thrive. Join a great place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture
CAPGEMINI INVENTAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.YOUR ROLEAs the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth.Business Technology is Capgemini Invent's technology consulting and transformation advisory practice. Within Business Technology, our AI & Digital Acceleration team focuses on helping our clients deliver technology transformation programmes for business value and optimise the effectiveness and impact of their IT capability.We are looking to hire a Managing Consultant into AI & Digital Acceleration to help sell and deliver ServiceNow-enabled enterprise operations transformation programmes and grow the Business Technology portfolio within our clientsAs a Managing Consultant - Enterprise Business Services & Industry Workflows Transformation, you will help clients digitise, automate and unify workflows across finance, procurement, enterprise asset management and industry-specific operations using the ServiceNow platform. You will position ServiceNow as a strategic enterprise workflow platform that enables operational excellence, business process modernisation and platform consolidation.Key expectations from this role include:Client Delivery & AdvisoryDefine enterprise operations transformation strategies leveraging ServiceNowAdvise senior stakeholders on:Shared services transformationBusiness process modernisationPlatform consolidationOperational efficiency improvementTranslate business requirements into workflow-enabled solutionsEnterprise Business Services TransformationLead initiatives across:Finance operationsProcurement and supplier lifecycle managementLegal and contract operationsShared services and GBS modelsSupport integration with ERP ecosystems such as SAP and OracleAsset & Industry Workflow TransformationSupport transformation programmes involving:Enterprise Asset Management (EAM)Asset lifecycle and servicing workflowsTelecom service operationsTechnology service provider workflowsEnable modern, workflow-driven operating modelsAutomation & Low-Code PlatformsSupport implementation of:App Engine and Creator WorkflowsWorkflow automation solutionsAI-enabled process automationEstablish business-led automation and citizen development approachesBusiness Development & Practice ContributionContribute to proposals, RFPs and client pitches focused on enterprise operations transformationSupport development of ServiceNow Core Business Suite and Industry Workflow offeringsParticipate in thought leadership and market-facing initiativesYOUR PROFILECore ExperienceProven experience in enterprise transformation, business operations or consultingStrong understanding of business process transformation and workflow platformsExperience delivering operational transformation programmesTechnical & Functional CapabilitiesExperience in 2 or more of the following areas:Finance operations or shared services transformationProcurement and supplier lifecycle transformationEnterprise Asset ManagementIndustry workflows (e.g. Telecom, Technology Service Providers)Business process re-engineering and automationServiceNow or other enterprise workflow platformsUnderstanding of:ERP ecosystems such as SAP and OracleWorkflow and automation technologiesLow-code platforms and process digitisationConsulting & Leadership SkillsStrong stakeholder management skills, including engagement with COO, CFO and Procurement leadershipAbility to shape transformation roadmaps and business casesExperience contributing to proposals and sales activitiesCollaborative mindset with the ability to operate across business and technology teamsWHAT YOU'LL LOVE ABOUT WORKING HEREBusiness Technology (BT) is the largest and fastest growing practice at Capgemini Invent. We are a trusted technology consulting & transformation business partner to our clients' Chief Digital Information Officers (CDIOs) and the global Capgemini Group. We combine emotional intelligence, human-centric design, and technology expertise to digitally transform our clients' web and workplace experiences. We are successful in achieving this through our end-to-end portfolio of digital transformation service offers - Strategy, Design, Delivery, Architecture, Security and Change Management.We are delighted to have received the "Glassdoor Best Places to work UK' accolade for 5 consecutive years, to see what it's like to work at Capgemini Invent, visit our Glassdoor page.NEED TO KNOWAt Capgemini we don't just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work.We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.We are a Disability Confident Employer Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:Declare they have a disability, andMeet the minimum essential criteria for the role.Please opt in during the application process.CSRWe're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing.Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.ABOUT CAPGEMINICapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.
Jul 30, 2026
Full time
CAPGEMINI INVENTAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.YOUR ROLEAs the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth.Business Technology is Capgemini Invent's technology consulting and transformation advisory practice. Within Business Technology, our AI & Digital Acceleration team focuses on helping our clients deliver technology transformation programmes for business value and optimise the effectiveness and impact of their IT capability.We are looking to hire a Managing Consultant into AI & Digital Acceleration to help sell and deliver ServiceNow-enabled enterprise operations transformation programmes and grow the Business Technology portfolio within our clientsAs a Managing Consultant - Enterprise Business Services & Industry Workflows Transformation, you will help clients digitise, automate and unify workflows across finance, procurement, enterprise asset management and industry-specific operations using the ServiceNow platform. You will position ServiceNow as a strategic enterprise workflow platform that enables operational excellence, business process modernisation and platform consolidation.Key expectations from this role include:Client Delivery & AdvisoryDefine enterprise operations transformation strategies leveraging ServiceNowAdvise senior stakeholders on:Shared services transformationBusiness process modernisationPlatform consolidationOperational efficiency improvementTranslate business requirements into workflow-enabled solutionsEnterprise Business Services TransformationLead initiatives across:Finance operationsProcurement and supplier lifecycle managementLegal and contract operationsShared services and GBS modelsSupport integration with ERP ecosystems such as SAP and OracleAsset & Industry Workflow TransformationSupport transformation programmes involving:Enterprise Asset Management (EAM)Asset lifecycle and servicing workflowsTelecom service operationsTechnology service provider workflowsEnable modern, workflow-driven operating modelsAutomation & Low-Code PlatformsSupport implementation of:App Engine and Creator WorkflowsWorkflow automation solutionsAI-enabled process automationEstablish business-led automation and citizen development approachesBusiness Development & Practice ContributionContribute to proposals, RFPs and client pitches focused on enterprise operations transformationSupport development of ServiceNow Core Business Suite and Industry Workflow offeringsParticipate in thought leadership and market-facing initiativesYOUR PROFILECore ExperienceProven experience in enterprise transformation, business operations or consultingStrong understanding of business process transformation and workflow platformsExperience delivering operational transformation programmesTechnical & Functional CapabilitiesExperience in 2 or more of the following areas:Finance operations or shared services transformationProcurement and supplier lifecycle transformationEnterprise Asset ManagementIndustry workflows (e.g. Telecom, Technology Service Providers)Business process re-engineering and automationServiceNow or other enterprise workflow platformsUnderstanding of:ERP ecosystems such as SAP and OracleWorkflow and automation technologiesLow-code platforms and process digitisationConsulting & Leadership SkillsStrong stakeholder management skills, including engagement with COO, CFO and Procurement leadershipAbility to shape transformation roadmaps and business casesExperience contributing to proposals and sales activitiesCollaborative mindset with the ability to operate across business and technology teamsWHAT YOU'LL LOVE ABOUT WORKING HEREBusiness Technology (BT) is the largest and fastest growing practice at Capgemini Invent. We are a trusted technology consulting & transformation business partner to our clients' Chief Digital Information Officers (CDIOs) and the global Capgemini Group. We combine emotional intelligence, human-centric design, and technology expertise to digitally transform our clients' web and workplace experiences. We are successful in achieving this through our end-to-end portfolio of digital transformation service offers - Strategy, Design, Delivery, Architecture, Security and Change Management.We are delighted to have received the "Glassdoor Best Places to work UK' accolade for 5 consecutive years, to see what it's like to work at Capgemini Invent, visit our Glassdoor page.NEED TO KNOWAt Capgemini we don't just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work.We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.We are a Disability Confident Employer Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:Declare they have a disability, andMeet the minimum essential criteria for the role.Please opt in during the application process.CSRWe're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing.Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.ABOUT CAPGEMINICapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.
Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure by design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of Sunday Times Top 100 Medium Sized Companies to Work For in 2025-a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Java Engineer to join our Security and Intelligence consulting team and will be responsible for designing, developing and maintaining secure software services and mission applications within classified government environments. The role focuses on building high-performance backend systems, microservices and APIs that enable intelligence data platforms, analytics systems and operational applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, data scientists, DevOps engineers and mission analysts to deliver secure, production grade software systems. Typical engagements include: Developing Java based microservices and backend platforms Building API driven services enabling data exploitation and analytics Supporting distributed analytics platforms and intelligence applications Integrating software components across complex secure environments Delivering cloud native and containerised mission software systems Job Responsibilities Design, develop and maintain secure Java based backend services supporting mission critical and operational systems. Build scalable microservices architectures and robust RESTful APIs to support data driven and intelligence platforms. Engineer high performance, distributed applications capable of processing large volumes of data with low latency and high reliability. Integrate Java applications with data platforms, streaming services and analytics pipelines, including AI/ML enabled systems. Apply secure coding practices and ensure solutions meet stringent performance, reliability and security requirements. Contribute to architectural design, code reviews, automated testing and continuous improvement activities. Implement logging, monitoring and observability to support the operation of production systems. Collaborate closely with multi disciplinary teams including engineers, data specialists and operational stakeholders. Skills Required Strong experience developing Java based backend applications (Java 11+) using modern frameworks such as Spring Boot / Spring Framework. Solid understanding of object oriented design, software architecture and building RESTful APIs. Experience designing and developing distributed systems and microservices architectures, including service to service communication and API integration patterns. Proven ability to build high performance, scalable backend systems for data intensive or mission critical applications. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, automated testing and observability tooling. Ability to work directly with stakeholders to understand requirements and translate them into robust, secure and scalable software solutions. Strong collaboration and communication skills, with the ability to explain technical concepts to both technical and non technical audiences. Comfortable working in secure or regulated environments, delivering software within complex operational constraints. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance: We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus: Up to £5,000 a year Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness related expenses. Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts: Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
Jul 30, 2026
Full time
Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure by design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of Sunday Times Top 100 Medium Sized Companies to Work For in 2025-a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Java Engineer to join our Security and Intelligence consulting team and will be responsible for designing, developing and maintaining secure software services and mission applications within classified government environments. The role focuses on building high-performance backend systems, microservices and APIs that enable intelligence data platforms, analytics systems and operational applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, data scientists, DevOps engineers and mission analysts to deliver secure, production grade software systems. Typical engagements include: Developing Java based microservices and backend platforms Building API driven services enabling data exploitation and analytics Supporting distributed analytics platforms and intelligence applications Integrating software components across complex secure environments Delivering cloud native and containerised mission software systems Job Responsibilities Design, develop and maintain secure Java based backend services supporting mission critical and operational systems. Build scalable microservices architectures and robust RESTful APIs to support data driven and intelligence platforms. Engineer high performance, distributed applications capable of processing large volumes of data with low latency and high reliability. Integrate Java applications with data platforms, streaming services and analytics pipelines, including AI/ML enabled systems. Apply secure coding practices and ensure solutions meet stringent performance, reliability and security requirements. Contribute to architectural design, code reviews, automated testing and continuous improvement activities. Implement logging, monitoring and observability to support the operation of production systems. Collaborate closely with multi disciplinary teams including engineers, data specialists and operational stakeholders. Skills Required Strong experience developing Java based backend applications (Java 11+) using modern frameworks such as Spring Boot / Spring Framework. Solid understanding of object oriented design, software architecture and building RESTful APIs. Experience designing and developing distributed systems and microservices architectures, including service to service communication and API integration patterns. Proven ability to build high performance, scalable backend systems for data intensive or mission critical applications. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, automated testing and observability tooling. Ability to work directly with stakeholders to understand requirements and translate them into robust, secure and scalable software solutions. Strong collaboration and communication skills, with the ability to explain technical concepts to both technical and non technical audiences. Comfortable working in secure or regulated environments, delivering software within complex operational constraints. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance: We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus: Up to £5,000 a year Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness related expenses. Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts: Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
American International Group, Inc. (AIG) is a leading global insurance organization. AIG member companies provide a wide range of property casualty insurance in approximately 70 countries and jurisdictions. These diverse offerings include products and services that help businesses and individuals protect their assets and manage risks.At AIG, we are reimagining the way we help customers to manage risk. Join us as Lead Business Analyst - Actuarial Commercial Lines to play your part in that transformation. It's an opportunity to grow your skills and experience as a valued member of the team.Make Your Mark:General Insurance is a leading provider of insurance products and services - focused on helping to manage risk for commercial and personal customers. We offer a broad range of products through a diversified, multi-channel distribution network, including one of the world's most far-reaching property casualty networks. The Data Office supports the overall General Insurance product by managing Data, Data Governance, and the presentation of the data (Business Intelligence Delivery).How you will create an impact:AIG is looking for a driven individual to assume a critical role within the Data Office. This role will work directly with the Actuarial and Data teams to ensure a clear understanding of data and analytics needs and priorities. In addition, the individual will hold Global Data Warehouse Product Ownership responsibilities, ensuring execution aligns with the highest business priorities and Data Office strategy, and that sunset opportunities are realized.About the RoleThe Business Analyst - Actuarial, Commercial Lines role sits within the Global Data Office at the intersection of business strategy, data, and analytics, and works closely with Commercial Lines Actuarial Groups. The ideal candidate will have a strong understanding of actuarial concepts (reserving, pricing, and risk assessment), proven data and analytics capabilities, excellent communication skills, and experience as an Agile Product Owner. In this role, you will translate complex actuarial business requirements into actionable data engineering specifications by collaborating directly with data development teams. As a trusted business partner and product owner within the Global Data Warehouse, this role will help shape how AIG uses data to make better decisions, simplify its analytics landscape, and focus investments where they matter most.ResponsibilitiesBusiness Requirements: Lead deep, structured requirement sessions with senior actuaries to understand workflows, data nuances, and reporting needs, creating detailed functional specifications.Stakeholder Management: Facilitate alignment across actuaries and Data Office teams on project priorities, project timelines, and management of the deliverables.Product Owner for Data Platform & Tool Development: Develop roadmaps for actuarial data and tool development requirements and partner with data engineers to build and deploy them in timely manner.Agile Development Leadership & Product Backlog ManagementLead Agile Ceremonies: Act as the Business Analyst Lead within an agile team, facilitating user story refinement, sprint planning, and daily scrums.Backlog Grooming: Translate actuarial requirements (reserving, pricing, modeling) into actionable user stories, epics, and acceptance criteria for developers.Data Governance & Quality: Ensure compliance with data standards and maintain rigorous documentation for data lineage, testing, and production changes.What you'll need to succeedExperience: 7+ years of experience in business analysis, actuarial tool design within the insurance/financial industry.Education: Bachelor's degree in actuarial science, Computer Science, Data Analytics, Mathematics, or related field.Actuarial Knowledge: Strong understanding of Commercial Insurance actuarial concepts (e.g., reserving methods, pricing tools)Data Proficiency: Experience with data environments, ETL and visualization toolsLeadership: Demonstrated experience leading Agile teams and managing product backlogs.Soft Skills: Excellent communication skills, with the ability to translate technical concepts to non-technical stakeholders.Preferred Qualifications: Actuarial Credentials, actuarial exams, or deep understanding of actuarial reserving/pricing concepts.Ready to make a bigger impact? We look forward to reviewing your application.Veterans are encouraged to apply. positions based in New Jersey, the base salary range is $120,000 - $150,000. For positions based in New York, the base salary range is $130,000 - $160,000. Your actual compensation will be dependent on your skills, experience, and qualifications. If your compensation expectations are above the posted range, we still encourage you to apply-your unique background matters to us. In addition, we're proud to offer a range of competitive benefits, a summary of which can be viewed here: US Benefits Overview.At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike.Enjoy benefits that take care of what mattersAt AIG, our people are our greatest asset. We know how important it is to protect and invest in what's most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security-as well as your professional development-to bring peace of mind to you and your family.Reimagining insurance to make a bigger difference to the worldAmerican International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world's most far-reaching property casualty networks. It is an exciting time to join us - across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become.Welcome to a culture of inclusionWe're committed to creating a culture that truly respects and celebrates each other's talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG's greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations.AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to Area:DT - DataAIG Property Casualty Company
Jul 30, 2026
Full time
American International Group, Inc. (AIG) is a leading global insurance organization. AIG member companies provide a wide range of property casualty insurance in approximately 70 countries and jurisdictions. These diverse offerings include products and services that help businesses and individuals protect their assets and manage risks.At AIG, we are reimagining the way we help customers to manage risk. Join us as Lead Business Analyst - Actuarial Commercial Lines to play your part in that transformation. It's an opportunity to grow your skills and experience as a valued member of the team.Make Your Mark:General Insurance is a leading provider of insurance products and services - focused on helping to manage risk for commercial and personal customers. We offer a broad range of products through a diversified, multi-channel distribution network, including one of the world's most far-reaching property casualty networks. The Data Office supports the overall General Insurance product by managing Data, Data Governance, and the presentation of the data (Business Intelligence Delivery).How you will create an impact:AIG is looking for a driven individual to assume a critical role within the Data Office. This role will work directly with the Actuarial and Data teams to ensure a clear understanding of data and analytics needs and priorities. In addition, the individual will hold Global Data Warehouse Product Ownership responsibilities, ensuring execution aligns with the highest business priorities and Data Office strategy, and that sunset opportunities are realized.About the RoleThe Business Analyst - Actuarial, Commercial Lines role sits within the Global Data Office at the intersection of business strategy, data, and analytics, and works closely with Commercial Lines Actuarial Groups. The ideal candidate will have a strong understanding of actuarial concepts (reserving, pricing, and risk assessment), proven data and analytics capabilities, excellent communication skills, and experience as an Agile Product Owner. In this role, you will translate complex actuarial business requirements into actionable data engineering specifications by collaborating directly with data development teams. As a trusted business partner and product owner within the Global Data Warehouse, this role will help shape how AIG uses data to make better decisions, simplify its analytics landscape, and focus investments where they matter most.ResponsibilitiesBusiness Requirements: Lead deep, structured requirement sessions with senior actuaries to understand workflows, data nuances, and reporting needs, creating detailed functional specifications.Stakeholder Management: Facilitate alignment across actuaries and Data Office teams on project priorities, project timelines, and management of the deliverables.Product Owner for Data Platform & Tool Development: Develop roadmaps for actuarial data and tool development requirements and partner with data engineers to build and deploy them in timely manner.Agile Development Leadership & Product Backlog ManagementLead Agile Ceremonies: Act as the Business Analyst Lead within an agile team, facilitating user story refinement, sprint planning, and daily scrums.Backlog Grooming: Translate actuarial requirements (reserving, pricing, modeling) into actionable user stories, epics, and acceptance criteria for developers.Data Governance & Quality: Ensure compliance with data standards and maintain rigorous documentation for data lineage, testing, and production changes.What you'll need to succeedExperience: 7+ years of experience in business analysis, actuarial tool design within the insurance/financial industry.Education: Bachelor's degree in actuarial science, Computer Science, Data Analytics, Mathematics, or related field.Actuarial Knowledge: Strong understanding of Commercial Insurance actuarial concepts (e.g., reserving methods, pricing tools)Data Proficiency: Experience with data environments, ETL and visualization toolsLeadership: Demonstrated experience leading Agile teams and managing product backlogs.Soft Skills: Excellent communication skills, with the ability to translate technical concepts to non-technical stakeholders.Preferred Qualifications: Actuarial Credentials, actuarial exams, or deep understanding of actuarial reserving/pricing concepts.Ready to make a bigger impact? We look forward to reviewing your application.Veterans are encouraged to apply. positions based in New Jersey, the base salary range is $120,000 - $150,000. For positions based in New York, the base salary range is $130,000 - $160,000. Your actual compensation will be dependent on your skills, experience, and qualifications. If your compensation expectations are above the posted range, we still encourage you to apply-your unique background matters to us. In addition, we're proud to offer a range of competitive benefits, a summary of which can be viewed here: US Benefits Overview.At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike.Enjoy benefits that take care of what mattersAt AIG, our people are our greatest asset. We know how important it is to protect and invest in what's most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security-as well as your professional development-to bring peace of mind to you and your family.Reimagining insurance to make a bigger difference to the worldAmerican International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world's most far-reaching property casualty networks. It is an exciting time to join us - across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become.Welcome to a culture of inclusionWe're committed to creating a culture that truly respects and celebrates each other's talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG's greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations.AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to Area:DT - DataAIG Property Casualty Company
Position EMEA PreSales Team Lead Location United Kingdom Employment Type Full time Remote Responsibilities External Focus Partner with EMEA Sales Leadership to define pre sales strategy for pipeline coverage, account planning, and execution on strategic opportunities; align Solutions Consulting capacity to business priorities. Lead customer discovery to uncover business objectives, pain points, decisioning requirements, and success metrics across the customer lifecycle (onboarding, fraud, credit risk, compliance, and customer management). Deliver compelling, executive ready storytelling demonstrations, presentations, and workshops that translate Provenir capabilities into measurable business value, ROI, and differentiation. Act as the executive technical sponsor for must win opportunities; building credibility and trust with C level executives and senior risk/compliance leaders; confidently navigate objections, competitive comparisons, and complex procurement processes. Own solution architecture and design workshops that define target state decisioning workflows, data and integration requirements, operating model considerations, and implementation approach. Support technical evaluations (POCs/pilots) with clear success criteria, project plans, and exit recommendations; ensure evaluations are purposeful, time boxed, and aligned to business outcomes. Drive and review RFP/RFI responses and proposal content, coordinating subject matter experts across Product, Engineering, Data Science, GAI, and Security/Compliance. Partner with Data Science teams to align client needs with AI/ML capabilities (e.g., model strategy, governance, champion challenger, and MLOps considerations) and to shape an end to end decision intelligence narrative. Collaborate closely with Professional Services/Customer Success to ensure a seamless handoff, clear scope assumptions, and alignment between the proposed solution and delivery plans. Represent Provenir as a thought leader through webinars, conferences, customer roundtables, and partner events; stay current on EMEA regulatory expectations and market trends in credit risk, fraud, AML, sanctions, and financial crime. Internal Focus Build, lead, and develop a high performing EMEA Solutions Consulting team, including hiring, onboarding, coaching, performance management, and career development; establish succession plans and a strong team culture. Define and continuously improve the Solutions Consulting engagement model: discovery standards, demo and workshop frameworks, POC qualification and governance, and reusable value realization assets to scale impact. Think about resourcing supply and demand over a longer term plan including succession planning, holiday and career progression. Oversee and continuous process improvements including demo environments, reference architectures, and content libraries; ensuring assets are accurate, secure, and aligned to target verticals and use cases. Establish operating cadence and performance metrics (e.g., win rate influence, technical win rates, sales cycle acceleration, pipeline coverage, utilization, customer feedback) and ensure consistent activity reporting. Work with Sales and Revenue leadership to prioritize opportunities, assign resources, and manage trade offs; maximizing impact of pre sales investments across the region. Develop and deploy enablement programs and training curricula for Solutions Consulting (and adjacent field teams) aligned to evolving product capabilities, competitive landscape, and go to market motions. Partner with Product Management, Engineering, Marketing, and Customer Success to provide structured feedback from the field, competitive intelligence, and requirements that influence roadmaps and messaging. Champion collaboration and knowledge sharing across global Solutions Consulting teams to drive consistent quality and accelerate global learning. Qualifications 6+ years of experience in Solutions Consulting, Sales Engineering, Pre Sales, or a related customer facing role supporting enterprise software sales; experience in a SaaS environment strongly preferred. 1+ years of leadership experience (people leadership and/or player coach leadership) with demonstrated success developing and scaling high performing teams. Demonstrated experience in financial services and risk domains (e.g., credit risk, fraud prevention, AML/financial crime, sanctions, onboarding/KYC, customer management, collections, and/or payments). Strong ability to translate business requirements into solution architectures, including data flows, integration patterns (REST APIs), and cloud deployment considerations. Proven ability to lead complex, multi stakeholder sales cycles, facilitate executive level workshops, and articulate business value to technical and non technical audiences. Excellent written and verbal communication skills, including strong documentation quality (e.g., discovery summaries, solution blueprints, evaluation plans, and RFP responses). Strong planning and organizational skills; ability to manage competing priorities across multiple opportunities and teams. Bachelor's degree in Business, Computer Science, Mathematics, Engineering, or a related discipline (or equivalent experience). Preferred Qualifications Experience selling or implementing decisioning, rules, orchestration, fraud, credit, or related analytics/decision intelligence platforms within banks, fintechs, lenders, or payments providers. Prior Professional Services / Implementation / Solution Architecture experience (including requirements workshops, UAT support, and delivery handoffs). Working knowledge of AI/ML concepts applied to risk decisioning (e.g., model governance, monitoring, champion challenger, and MLOps). Additional Information Travel: 25-50% (short notice travel across EMEA and occasional global travel as needed) Benefits Comprehensive health and wellness plans Paid time off and company holidays Flexible and remote friendly opportunities Maternity/paternity leave Equal Employment Opportunity Statement Provenir is committed to equal employment opportunity and welcomes applicants regardless of race, color, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, veteran status, or medical condition. We encourage people from all backgrounds to apply.
Jul 26, 2026
Full time
Position EMEA PreSales Team Lead Location United Kingdom Employment Type Full time Remote Responsibilities External Focus Partner with EMEA Sales Leadership to define pre sales strategy for pipeline coverage, account planning, and execution on strategic opportunities; align Solutions Consulting capacity to business priorities. Lead customer discovery to uncover business objectives, pain points, decisioning requirements, and success metrics across the customer lifecycle (onboarding, fraud, credit risk, compliance, and customer management). Deliver compelling, executive ready storytelling demonstrations, presentations, and workshops that translate Provenir capabilities into measurable business value, ROI, and differentiation. Act as the executive technical sponsor for must win opportunities; building credibility and trust with C level executives and senior risk/compliance leaders; confidently navigate objections, competitive comparisons, and complex procurement processes. Own solution architecture and design workshops that define target state decisioning workflows, data and integration requirements, operating model considerations, and implementation approach. Support technical evaluations (POCs/pilots) with clear success criteria, project plans, and exit recommendations; ensure evaluations are purposeful, time boxed, and aligned to business outcomes. Drive and review RFP/RFI responses and proposal content, coordinating subject matter experts across Product, Engineering, Data Science, GAI, and Security/Compliance. Partner with Data Science teams to align client needs with AI/ML capabilities (e.g., model strategy, governance, champion challenger, and MLOps considerations) and to shape an end to end decision intelligence narrative. Collaborate closely with Professional Services/Customer Success to ensure a seamless handoff, clear scope assumptions, and alignment between the proposed solution and delivery plans. Represent Provenir as a thought leader through webinars, conferences, customer roundtables, and partner events; stay current on EMEA regulatory expectations and market trends in credit risk, fraud, AML, sanctions, and financial crime. Internal Focus Build, lead, and develop a high performing EMEA Solutions Consulting team, including hiring, onboarding, coaching, performance management, and career development; establish succession plans and a strong team culture. Define and continuously improve the Solutions Consulting engagement model: discovery standards, demo and workshop frameworks, POC qualification and governance, and reusable value realization assets to scale impact. Think about resourcing supply and demand over a longer term plan including succession planning, holiday and career progression. Oversee and continuous process improvements including demo environments, reference architectures, and content libraries; ensuring assets are accurate, secure, and aligned to target verticals and use cases. Establish operating cadence and performance metrics (e.g., win rate influence, technical win rates, sales cycle acceleration, pipeline coverage, utilization, customer feedback) and ensure consistent activity reporting. Work with Sales and Revenue leadership to prioritize opportunities, assign resources, and manage trade offs; maximizing impact of pre sales investments across the region. Develop and deploy enablement programs and training curricula for Solutions Consulting (and adjacent field teams) aligned to evolving product capabilities, competitive landscape, and go to market motions. Partner with Product Management, Engineering, Marketing, and Customer Success to provide structured feedback from the field, competitive intelligence, and requirements that influence roadmaps and messaging. Champion collaboration and knowledge sharing across global Solutions Consulting teams to drive consistent quality and accelerate global learning. Qualifications 6+ years of experience in Solutions Consulting, Sales Engineering, Pre Sales, or a related customer facing role supporting enterprise software sales; experience in a SaaS environment strongly preferred. 1+ years of leadership experience (people leadership and/or player coach leadership) with demonstrated success developing and scaling high performing teams. Demonstrated experience in financial services and risk domains (e.g., credit risk, fraud prevention, AML/financial crime, sanctions, onboarding/KYC, customer management, collections, and/or payments). Strong ability to translate business requirements into solution architectures, including data flows, integration patterns (REST APIs), and cloud deployment considerations. Proven ability to lead complex, multi stakeholder sales cycles, facilitate executive level workshops, and articulate business value to technical and non technical audiences. Excellent written and verbal communication skills, including strong documentation quality (e.g., discovery summaries, solution blueprints, evaluation plans, and RFP responses). Strong planning and organizational skills; ability to manage competing priorities across multiple opportunities and teams. Bachelor's degree in Business, Computer Science, Mathematics, Engineering, or a related discipline (or equivalent experience). Preferred Qualifications Experience selling or implementing decisioning, rules, orchestration, fraud, credit, or related analytics/decision intelligence platforms within banks, fintechs, lenders, or payments providers. Prior Professional Services / Implementation / Solution Architecture experience (including requirements workshops, UAT support, and delivery handoffs). Working knowledge of AI/ML concepts applied to risk decisioning (e.g., model governance, monitoring, champion challenger, and MLOps). Additional Information Travel: 25-50% (short notice travel across EMEA and occasional global travel as needed) Benefits Comprehensive health and wellness plans Paid time off and company holidays Flexible and remote friendly opportunities Maternity/paternity leave Equal Employment Opportunity Statement Provenir is committed to equal employment opportunity and welcomes applicants regardless of race, color, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, veteran status, or medical condition. We encourage people from all backgrounds to apply.
We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, andtogether we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, andtransport. Our teams operate globally from offices across theUK, Ireland, US, Nordics, and Netherlands. We are seeking an accomplished AI consulting expert to help drive our AI Agentic capabilities in the Financial Services sector. The Managing Consultant (equivalent to Director level) will focus on building the Artificial Intelligence (AI, Agentic) practice that will help us deliver AI-driven transformation for Financial Services organisations in the UK (ideally Banking but also Wealth & Asset Management and Insurance). As part of our wider Financial Services team, the MC will leverage their knowledge and connections of the FS Industry, to guide clients through their AI strategies, from adoption through to value realisation. Key objectives: Working closely with FS Partners and our AI Capability leads, help build an FS AI business for PA. This will be achieved byleveraging deep expertise in AI and combine this with the insight, knowledge and resources already available within PA Consulting. Be instrumental in the execution of a go-to-market strategy to expand the firm's presence in AI transformation, capitalising on emerging Agentic trends such as: Compliance Automation (KYC/AML/Regulatory Reporting) Fraud Detection and Prevention Autonomous Credit Risk Assessment Customer Service & Customer Journey Automation Trading, Treasury Automation Real-time monitoring and Operational Risk Management Manage and oversee engagements, deliver outstanding outcomes that will lead to extensions and new opportunities for our AI capabilities Be a key player in the development of AI proposals, specific to individual client needs/situations PA is highly regarded as trusted advisors for successful end-to-end transformation and candidates will ideally have experience in numerous phases of an AI driven transformation lifecycle A proven track record of advising C-suite stakeholders, and leading large-scale transformation programmes is essential. Qualifications Experience and skills required: An understanding of management consulting, how it is structured, the frameworks, financial principals etc. Ability to influence at the C-suite level and have a network of contacts that will help navigate the FS industry to achieve penetration within new buying centres in existing clients and open new business opportunities. A deep understanding of the AI topics and trends that affect the FS industry, these could include: Fraud & Risk Management Customer Service & Personalization Process Automation Regulatory Compliance Lending & Credit Decisioning Customer Insights & Marketing Operations & Treasury Optimization Payments Optimization Document Intelligence An ability to contribute to the development of robust business development plans that can to help meet revenue and sales targets for AI in FS. A strong understanding of end-to-end transformation programmes and a track record of successfully managing delivery engagements, ideally with experience of: Scoping/pricing/planning commercially sound programmes Steering, managing and governance of programmes/teams High-quality delivery excellence Consistent in achieving follow-on business and extensions
Jul 18, 2026
Full time
We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, andtogether we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, andtransport. Our teams operate globally from offices across theUK, Ireland, US, Nordics, and Netherlands. We are seeking an accomplished AI consulting expert to help drive our AI Agentic capabilities in the Financial Services sector. The Managing Consultant (equivalent to Director level) will focus on building the Artificial Intelligence (AI, Agentic) practice that will help us deliver AI-driven transformation for Financial Services organisations in the UK (ideally Banking but also Wealth & Asset Management and Insurance). As part of our wider Financial Services team, the MC will leverage their knowledge and connections of the FS Industry, to guide clients through their AI strategies, from adoption through to value realisation. Key objectives: Working closely with FS Partners and our AI Capability leads, help build an FS AI business for PA. This will be achieved byleveraging deep expertise in AI and combine this with the insight, knowledge and resources already available within PA Consulting. Be instrumental in the execution of a go-to-market strategy to expand the firm's presence in AI transformation, capitalising on emerging Agentic trends such as: Compliance Automation (KYC/AML/Regulatory Reporting) Fraud Detection and Prevention Autonomous Credit Risk Assessment Customer Service & Customer Journey Automation Trading, Treasury Automation Real-time monitoring and Operational Risk Management Manage and oversee engagements, deliver outstanding outcomes that will lead to extensions and new opportunities for our AI capabilities Be a key player in the development of AI proposals, specific to individual client needs/situations PA is highly regarded as trusted advisors for successful end-to-end transformation and candidates will ideally have experience in numerous phases of an AI driven transformation lifecycle A proven track record of advising C-suite stakeholders, and leading large-scale transformation programmes is essential. Qualifications Experience and skills required: An understanding of management consulting, how it is structured, the frameworks, financial principals etc. Ability to influence at the C-suite level and have a network of contacts that will help navigate the FS industry to achieve penetration within new buying centres in existing clients and open new business opportunities. A deep understanding of the AI topics and trends that affect the FS industry, these could include: Fraud & Risk Management Customer Service & Personalization Process Automation Regulatory Compliance Lending & Credit Decisioning Customer Insights & Marketing Operations & Treasury Optimization Payments Optimization Document Intelligence An ability to contribute to the development of robust business development plans that can to help meet revenue and sales targets for AI in FS. A strong understanding of end-to-end transformation programmes and a track record of successfully managing delivery engagements, ideally with experience of: Scoping/pricing/planning commercially sound programmes Steering, managing and governance of programmes/teams High-quality delivery excellence Consistent in achieving follow-on business and extensions
hackajob is collaborating with BAE Systems Digital Intelligence to connect them with exceptional professionals for this role. Location(s): London or Manchester BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Data Engineer Requistion ID: 120494 Location: London or Manchester - Hybrid working offered, with consideration for both full and part-time applicants - please speak to your recruiter about options Grade: GG08 - GG13 We are looking for experienced Data Engineers to join our team following continuous growth and success. As a Data Engineer you will be involved in: Design, develop, test and support data collection, data integration and ETL applications to make information and data available to key client stakeholders and technical interfaces Model data requirements, data sources and data flows to bring order and structure to programmes of work Defining how and where data is created, mastered and destroyed to ensure proper control over the lifecycle of corporate data assets Using categories of products that can be used to collect, integrate, store, visualise and govern data and metadata Define metadata to provide search ability and governance (including Records Management) for unstructured data. Not only will your team be directly making a huge impact upon the systems you work on, you'll be doing it for an organisation who makes a huge impact to the security of the UK. About you You will have experience in many of the following: Data Engineering, Analysis or Science, with a solid understanding of programming languages along with experience of applying them in your previous role Experience in using Data Engineering tools and technology ETL tools including Python and a number of the Big Data Applications. Rather than specifying a list of technologies we look for, demonstrable ability in what you have used previously, along with adaptability and willingness to learn is what we value A good understanding of Open Source software for Data Engineering and can evaluate these platforms against products. Given a customer problem you can analyse and evaluate options and recommend solutions. An understanding of maintaining and applies up to date, specialist knowledge of database concepts (including unstructured, NoSQL and "big data" platforms), object and data modelling techniques. Previous experience working in the domain of Cyber Security and Intelligence is desirable, but not essential. Security Clearance Due to the nature of our work, successful candidates for this role will be required to hold an active eDV before applying for this opportunity. How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the office You'll get 25 days holiday a year and the option to buy/sell and carry over from the year before Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more You'll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE You'll be part of our company bonus scheme You are welcome to join any/all of our Employee Resource groups. These groups cover everything from gender diversity to mental health and wellbeing. About our team Our people are what differentiates us, they are resourceful, innovative and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting edge, high quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. You'll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We'll do everything we can to ensure you have fun at work, and in social activities outside of it whether that's virtually or in person, as conditions allow. We have a rich history of working within National Security. In fact, we have over 40 years' experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. Inclusion is integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential. Division overview: Capabilities At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.
Jul 16, 2026
Full time
hackajob is collaborating with BAE Systems Digital Intelligence to connect them with exceptional professionals for this role. Location(s): London or Manchester BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Data Engineer Requistion ID: 120494 Location: London or Manchester - Hybrid working offered, with consideration for both full and part-time applicants - please speak to your recruiter about options Grade: GG08 - GG13 We are looking for experienced Data Engineers to join our team following continuous growth and success. As a Data Engineer you will be involved in: Design, develop, test and support data collection, data integration and ETL applications to make information and data available to key client stakeholders and technical interfaces Model data requirements, data sources and data flows to bring order and structure to programmes of work Defining how and where data is created, mastered and destroyed to ensure proper control over the lifecycle of corporate data assets Using categories of products that can be used to collect, integrate, store, visualise and govern data and metadata Define metadata to provide search ability and governance (including Records Management) for unstructured data. Not only will your team be directly making a huge impact upon the systems you work on, you'll be doing it for an organisation who makes a huge impact to the security of the UK. About you You will have experience in many of the following: Data Engineering, Analysis or Science, with a solid understanding of programming languages along with experience of applying them in your previous role Experience in using Data Engineering tools and technology ETL tools including Python and a number of the Big Data Applications. Rather than specifying a list of technologies we look for, demonstrable ability in what you have used previously, along with adaptability and willingness to learn is what we value A good understanding of Open Source software for Data Engineering and can evaluate these platforms against products. Given a customer problem you can analyse and evaluate options and recommend solutions. An understanding of maintaining and applies up to date, specialist knowledge of database concepts (including unstructured, NoSQL and "big data" platforms), object and data modelling techniques. Previous experience working in the domain of Cyber Security and Intelligence is desirable, but not essential. Security Clearance Due to the nature of our work, successful candidates for this role will be required to hold an active eDV before applying for this opportunity. How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the office You'll get 25 days holiday a year and the option to buy/sell and carry over from the year before Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more You'll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE You'll be part of our company bonus scheme You are welcome to join any/all of our Employee Resource groups. These groups cover everything from gender diversity to mental health and wellbeing. About our team Our people are what differentiates us, they are resourceful, innovative and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting edge, high quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. You'll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We'll do everything we can to ensure you have fun at work, and in social activities outside of it whether that's virtually or in person, as conditions allow. We have a rich history of working within National Security. In fact, we have over 40 years' experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. Inclusion is integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential. Division overview: Capabilities At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.
hackajob is collaborating with Envitia to connect them with exceptional professionals for this role. Envitia is a UK-based data and digital consultancy, delivering high-impact transformation services that help organisations unlock the full value of their data. With over 30 years of experience, we combine deep technical expertise with a strong consulting approach, working in close partnership with our clients to solve complex, mission-critical challenges and deliver measurable business outcomes. Our consulting teams operate at the heart of some of the UK's most critical programmes, partnering with Central Government, Defence, and National Security organisations. We act as trusted advisors-shaping strategy, defining architectures, and leading transformation initiatives that enable our clients to harness data, from geospatial intelligence through to advanced analytics and AI. At Envitia, consulting is about more than delivery, it's about influence, impact, and long-term partnership. You'll be part of a growing, collaborative consulting practice that is focused on delivering real value, building enduring client relationships, and shaping the future of data-driven decision-making in complex environments. We're also proud to have been named one of The Sunday Times Top 100 Medium-Sized Companies, a reflection of our commitment to innovation, collaboration, and creating an environment where our people can thrive. The Role Envitia is looking for an AI/ML Senior Consultant to join our growing AI team within the Consulting function. In this role, you will design, build and deploy scalable, responsible AI and machine learning solutions that help our UK public sector clients across Defence, Government and Security / Intelligence unlock greater value from their data. Your work will transform complex information into trusted insights, decision-support tools and operational advantage. This is a hands-on delivery role working across a variety of client engagements, from machine learning and predictive analytics through to cutting-edge Generative AI applications. You will develop production-ready AI solutions, contribute to the evolution of our MLOps capabilities and reusable accelerators, and help shape innovative proof-of-concepts and client proposals that showcase Envitia's AI expertise. Working within multidisciplinary teams, you will collaborate closely with data engineers, software engineers, analysts, visualisation specialists and consultants, supported by a developing AI Community of Practice. Typical engagements include: Designing, developing and deploying machine learning and AI solutions to solve complex operational challenges. Developing scalable data pipelines and AI services that transform structured and unstructured data into actionable insights. Implementing MLOps practices to support model deployment, monitoring, governance and continuous improvement. Applying Natural Language Processing (NLP), predictive analytics and decision-support techniques to mission-critical use cases. Developing API-driven AI services and integrating AI capabilities into enterprise and operational systems. Delivering cloud-native and containerised AI solutions within secure environments. Working with clients to identify opportunities for AI adoption and translate business challenges into practical technical solutions. Responsibilities Design, develop, train and deploy machine learning and AI models, including predictive analytics, natural language processing (NLP), computer vision and Generative AI solutions, to support client mission and business outcomes. Build scalable, reusable AI products, accelerators and solution components that can be deployed across multiple client engagements, improving delivery efficiency and consistency. Develop and integrate Generative AI and large language model (LLM) capabilities using platforms such as Azure AI Foundry and Azure OpenAI, ensuring solutions are secure, responsible and aligned to client requirements. Implement and continuously improve MLOps practices, including model deployment, monitoring, governance, retraining and lifecycle management, to ensure reliable production operation of AI systems. Engineer features, datasets and data pipelines across structured and unstructured data sources, working closely with data engineers and analysts to deliver actionable insights. Apply responsible AI principles, ensuring fairness, transparency, explainability, security and compliance throughout the AI solution lifecycle. Collaborate with consultants, technical specialists and client stakeholders to understand operational challenges and translate them into practical, value-driven AI solutions. Contribute to technical proposals, demonstrations, proof-of-concepts and thought leadership activities that showcase Envitia's AI capabilities and support business growth. Stay current with emerging AI technologies, frameworks and best practices, identifying opportunities to enhance Envitia's capabilities and client offerings. Support knowledge sharing, mentoring and capability development across the AI team, wider Consulting function and AI Community of Practice. Experience Required Essential Strong Python programming and hands-on experience with core ML/AI libraries (for example scikit-learn, TensorFlow, PyTorch). Practical experience developing, training and evaluating machine learning, NLP and predictive models. Experience deploying AI/ML in the cloud, particularly Microsoft Azure (Azure AI/ML, Azure AI Foundry / Azure OpenAI). Working knowledge of Generative AI / large language models and prompt engineering applied to practical use cases. Understanding of MLOps practices for model deployment, monitoring and lifecycle management. Solid data engineering skills across structured and unstructured data, with awareness of responsible AI, data governance and security; strong communication skills for technical and non-technical audiences. Desirable Experience in a consulting or client-facing delivery environment. Exposure to data visualisation (Power BI, Tableau) and rapid front-end prototyping (Streamlit, Flask, Django, Figma). Experience working with geospatial data. Experience delivering within the UK public sector, Defence or National Security. Exposure to Databricks and/or Snowflake. A relevant degree (Computer Science, Data Science, AI/ML or related) or equivalent practical experience. Security Clearance Requirements The successful candidate must be eligible to obtain and maintain a SC level security clearance. Location The role will require travel to our Horsham offices 2 days a month as well as travel to customer sites in the UK when required. What it's like to work at Envitia At Envitia, we believe that our greatest asset is our people. We're committed to fostering a work environment where every employee feels valued, supported, and motivated to excel. Our comprehensive benefits package is designed to enhance both your professional and personal wellbeing, including: Annual Leave: 25 days plus your birthday off, with the ability to buy or sell up to five additional days Private Healthcare: Comprehensive coverage with additional options for family members Training & Skills Development: Ongoing learning opportunities to help you advance your career Fitness Reimbursement: Support for gym memberships or fitness-related expenses Life Assurance: Extensive life insurance coverage for peace of mind Pension Contribution: Competitive options to help you plan for a secure financial future Perkbox Subscription: Discounts on a wide range of products and services Flexible Work Arrangements: Designed to support work-life balance and personal commitments Internal Reward Schemes: Recognition initiatives to celebrate your contributions and achievements Community Engagement & Volunteering: Opportunities to support meaningful causes through company-sponsored programs Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. If you require any accommodations during the application or interview process, please let us know.
Jul 15, 2026
Full time
hackajob is collaborating with Envitia to connect them with exceptional professionals for this role. Envitia is a UK-based data and digital consultancy, delivering high-impact transformation services that help organisations unlock the full value of their data. With over 30 years of experience, we combine deep technical expertise with a strong consulting approach, working in close partnership with our clients to solve complex, mission-critical challenges and deliver measurable business outcomes. Our consulting teams operate at the heart of some of the UK's most critical programmes, partnering with Central Government, Defence, and National Security organisations. We act as trusted advisors-shaping strategy, defining architectures, and leading transformation initiatives that enable our clients to harness data, from geospatial intelligence through to advanced analytics and AI. At Envitia, consulting is about more than delivery, it's about influence, impact, and long-term partnership. You'll be part of a growing, collaborative consulting practice that is focused on delivering real value, building enduring client relationships, and shaping the future of data-driven decision-making in complex environments. We're also proud to have been named one of The Sunday Times Top 100 Medium-Sized Companies, a reflection of our commitment to innovation, collaboration, and creating an environment where our people can thrive. The Role Envitia is looking for an AI/ML Senior Consultant to join our growing AI team within the Consulting function. In this role, you will design, build and deploy scalable, responsible AI and machine learning solutions that help our UK public sector clients across Defence, Government and Security / Intelligence unlock greater value from their data. Your work will transform complex information into trusted insights, decision-support tools and operational advantage. This is a hands-on delivery role working across a variety of client engagements, from machine learning and predictive analytics through to cutting-edge Generative AI applications. You will develop production-ready AI solutions, contribute to the evolution of our MLOps capabilities and reusable accelerators, and help shape innovative proof-of-concepts and client proposals that showcase Envitia's AI expertise. Working within multidisciplinary teams, you will collaborate closely with data engineers, software engineers, analysts, visualisation specialists and consultants, supported by a developing AI Community of Practice. Typical engagements include: Designing, developing and deploying machine learning and AI solutions to solve complex operational challenges. Developing scalable data pipelines and AI services that transform structured and unstructured data into actionable insights. Implementing MLOps practices to support model deployment, monitoring, governance and continuous improvement. Applying Natural Language Processing (NLP), predictive analytics and decision-support techniques to mission-critical use cases. Developing API-driven AI services and integrating AI capabilities into enterprise and operational systems. Delivering cloud-native and containerised AI solutions within secure environments. Working with clients to identify opportunities for AI adoption and translate business challenges into practical technical solutions. Responsibilities Design, develop, train and deploy machine learning and AI models, including predictive analytics, natural language processing (NLP), computer vision and Generative AI solutions, to support client mission and business outcomes. Build scalable, reusable AI products, accelerators and solution components that can be deployed across multiple client engagements, improving delivery efficiency and consistency. Develop and integrate Generative AI and large language model (LLM) capabilities using platforms such as Azure AI Foundry and Azure OpenAI, ensuring solutions are secure, responsible and aligned to client requirements. Implement and continuously improve MLOps practices, including model deployment, monitoring, governance, retraining and lifecycle management, to ensure reliable production operation of AI systems. Engineer features, datasets and data pipelines across structured and unstructured data sources, working closely with data engineers and analysts to deliver actionable insights. Apply responsible AI principles, ensuring fairness, transparency, explainability, security and compliance throughout the AI solution lifecycle. Collaborate with consultants, technical specialists and client stakeholders to understand operational challenges and translate them into practical, value-driven AI solutions. Contribute to technical proposals, demonstrations, proof-of-concepts and thought leadership activities that showcase Envitia's AI capabilities and support business growth. Stay current with emerging AI technologies, frameworks and best practices, identifying opportunities to enhance Envitia's capabilities and client offerings. Support knowledge sharing, mentoring and capability development across the AI team, wider Consulting function and AI Community of Practice. Experience Required Essential Strong Python programming and hands-on experience with core ML/AI libraries (for example scikit-learn, TensorFlow, PyTorch). Practical experience developing, training and evaluating machine learning, NLP and predictive models. Experience deploying AI/ML in the cloud, particularly Microsoft Azure (Azure AI/ML, Azure AI Foundry / Azure OpenAI). Working knowledge of Generative AI / large language models and prompt engineering applied to practical use cases. Understanding of MLOps practices for model deployment, monitoring and lifecycle management. Solid data engineering skills across structured and unstructured data, with awareness of responsible AI, data governance and security; strong communication skills for technical and non-technical audiences. Desirable Experience in a consulting or client-facing delivery environment. Exposure to data visualisation (Power BI, Tableau) and rapid front-end prototyping (Streamlit, Flask, Django, Figma). Experience working with geospatial data. Experience delivering within the UK public sector, Defence or National Security. Exposure to Databricks and/or Snowflake. A relevant degree (Computer Science, Data Science, AI/ML or related) or equivalent practical experience. Security Clearance Requirements The successful candidate must be eligible to obtain and maintain a SC level security clearance. Location The role will require travel to our Horsham offices 2 days a month as well as travel to customer sites in the UK when required. What it's like to work at Envitia At Envitia, we believe that our greatest asset is our people. We're committed to fostering a work environment where every employee feels valued, supported, and motivated to excel. Our comprehensive benefits package is designed to enhance both your professional and personal wellbeing, including: Annual Leave: 25 days plus your birthday off, with the ability to buy or sell up to five additional days Private Healthcare: Comprehensive coverage with additional options for family members Training & Skills Development: Ongoing learning opportunities to help you advance your career Fitness Reimbursement: Support for gym memberships or fitness-related expenses Life Assurance: Extensive life insurance coverage for peace of mind Pension Contribution: Competitive options to help you plan for a secure financial future Perkbox Subscription: Discounts on a wide range of products and services Flexible Work Arrangements: Designed to support work-life balance and personal commitments Internal Reward Schemes: Recognition initiatives to celebrate your contributions and achievements Community Engagement & Volunteering: Opportunities to support meaningful causes through company-sponsored programs Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. If you require any accommodations during the application or interview process, please let us know.
hackajob is collaborating with Envitia to connect them with exceptional professionals for this role. Envitia is a UK-based data and digital consultancy, delivering high-impact transformation services that help organisations unlock the full value of their data. With over 30 years of experience, we combine deep technical expertise with a strong consulting approach, working in close partnership with our clients to solve complex, mission-critical challenges and deliver measurable business outcomes. Our consulting teams operate at the heart of some of the UK's most critical programmes, partnering with Central Government, Defence, and National Security organisations. We act as trusted advisors-shaping strategy, defining architectures, and leading transformation initiatives that enable our clients to harness data, from geospatial intelligence through to advanced analytics and AI. At Envitia, consulting is about more than delivery, it's about influence, impact, and long-term partnership. You'll be part of a growing, collaborative consulting practice that is focused on delivering real value, building enduring client relationships, and shaping the future of data-driven decision-making in complex environments. We're also proud to have been named one of The Sunday Times Top 100 Medium-Sized Companies, a reflection of our commitment to innovation, collaboration, and creating an environment where our people can thrive. The Role Envitia is looking for an AI Engineer to join our growing AI team within the Consulting function. In this role, you will design, build and deploy scalable, responsible AI and machine learning solutions that help our UK public sector clients across Defence, Government and Security / Intelligence unlock greater value from their data. Your work will transform complex information into trusted insights, decision-support tools and operational advantage. This is a hands-on delivery role working across a variety of client engagements, from machine learning and predictive analytics through to cutting-edge Generative AI applications. You will develop production-ready AI solutions, contribute to the evolution of our MLOps capabilities and reusable accelerators, and help shape innovative proof-of-concepts and client proposals that showcase Envitia's AI expertise. Working within multidisciplinary teams, you will collaborate closely with data engineers, software engineers, analysts, visualisation specialists and consultants, supported by a developing AI Community of Practice. Typical engagements include: Designing, developing and deploying machine learning and AI solutions to solve complex operational challenges. Developing scalable data pipelines and AI services that transform structured and unstructured data into actionable insights. Implementing MLOps practices to support model deployment, monitoring, governance and continuous improvement. Applying Natural Language Processing (NLP), predictive analytics and decision-support techniques to mission-critical use cases. Developing API-driven AI services and integrating AI capabilities into enterprise and operational systems. Delivering cloud-native and containerised AI solutions within secure environments. Working with clients to identify opportunities for AI adoption and translate business challenges into practical technical solutions. Responsibilities Design, develop, train and deploy machine learning and AI models, including predictive analytics, natural language processing (NLP), computer vision and Generative AI solutions, to support client mission and business outcomes. Build scalable, reusable AI products, accelerators and solution components that can be deployed across multiple client engagements, improving delivery efficiency and consistency. Develop and integrate Generative AI and large language model (LLM) capabilities using platforms such as Azure AI Foundry and Azure OpenAI, ensuring solutions are secure, responsible and aligned to client requirements. Implement and continuously improve MLOps practices, including model deployment, monitoring, governance, retraining and lifecycle management, to ensure reliable production operation of AI systems. Engineer features, datasets and data pipelines across structured and unstructured data sources, working closely with data engineers and analysts to deliver actionable insights. Apply responsible AI principles, ensuring fairness, transparency, explainability, security and compliance throughout the AI solution lifecycle. Collaborate with consultants, technical specialists and client stakeholders to understand operational challenges and translate them into practical, value-driven AI solutions. Contribute to technical proposals, demonstrations, proof-of-concepts and thought leadership activities that showcase Envitia's AI capabilities and support business growth. Stay current with emerging AI technologies, frameworks and best practices, identifying opportunities to enhance Envitia's capabilities and client offerings. Support knowledge sharing, mentoring and capability development across the AI team, wider Consulting function and AI Community of Practice. Experience Required Essential Strong Python programming and hands-on experience with core ML/AI libraries (for example scikit-learn, TensorFlow, PyTorch). Practical experience developing, training and evaluating machine learning, NLP and predictive models. Experience deploying AI/ML in the cloud, particularly Microsoft Azure (Azure AI/ML, Azure AI Foundry / Azure OpenAI). Working knowledge of Generative AI / large language models and prompt engineering applied to practical use cases. Understanding of MLOps practices for model deployment, monitoring and lifecycle management. Solid data engineering skills across structured and unstructured data, with awareness of responsible AI, data governance and security; strong communication skills for technical and non-technical audiences. Desirable Experience in a consulting or client-facing delivery environment. Exposure to data visualisation (Power BI, Tableau) and rapid front-end prototyping (Streamlit, Flask, Django, Figma). Experience working with geospatial data. Experience delivering within the UK public sector, Defence or National Security. Exposure to Databricks and/or Snowflake. A relevant degree (Computer Science, Data Science, AI/ML or related) or equivalent practical experience. Security Clearance Requirements The successful candidate must be eligible to obtain and maintain a SC level security clearance. Location The role will require travel to our Horsham offices 2 days a month as well as travel to customer sites in the UK when required. What it's like to work at Envitia At Envitia, we believe that our greatest asset is our people. We're committed to fostering a work environment where every employee feels valued, supported, and motivated to excel. Our comprehensive benefits package is designed to enhance both your professional and personal wellbeing, including: Annual Leave: 25 days plus your birthday off, with the ability to buy or sell up to five additional days Private Healthcare: Comprehensive coverage with additional options for family members Training & Skills Development: Ongoing learning opportunities to help you advance your career Fitness Reimbursement: Support for gym memberships or fitness-related expenses Life Assurance: Extensive life insurance coverage for peace of mind Pension Contribution: Competitive options to help you plan for a secure financial future Perkbox Subscription: Discounts on a wide range of products and services Flexible Work Arrangements: Designed to support work-life balance and personal commitments Internal Reward Schemes: Recognition initiatives to celebrate your contributions and achievements Community Engagement & Volunteering: Opportunities to support meaningful causes through company-sponsored programs Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. If you require any accommodations during the application or interview process, please let us know.
Jul 14, 2026
Full time
hackajob is collaborating with Envitia to connect them with exceptional professionals for this role. Envitia is a UK-based data and digital consultancy, delivering high-impact transformation services that help organisations unlock the full value of their data. With over 30 years of experience, we combine deep technical expertise with a strong consulting approach, working in close partnership with our clients to solve complex, mission-critical challenges and deliver measurable business outcomes. Our consulting teams operate at the heart of some of the UK's most critical programmes, partnering with Central Government, Defence, and National Security organisations. We act as trusted advisors-shaping strategy, defining architectures, and leading transformation initiatives that enable our clients to harness data, from geospatial intelligence through to advanced analytics and AI. At Envitia, consulting is about more than delivery, it's about influence, impact, and long-term partnership. You'll be part of a growing, collaborative consulting practice that is focused on delivering real value, building enduring client relationships, and shaping the future of data-driven decision-making in complex environments. We're also proud to have been named one of The Sunday Times Top 100 Medium-Sized Companies, a reflection of our commitment to innovation, collaboration, and creating an environment where our people can thrive. The Role Envitia is looking for an AI Engineer to join our growing AI team within the Consulting function. In this role, you will design, build and deploy scalable, responsible AI and machine learning solutions that help our UK public sector clients across Defence, Government and Security / Intelligence unlock greater value from their data. Your work will transform complex information into trusted insights, decision-support tools and operational advantage. This is a hands-on delivery role working across a variety of client engagements, from machine learning and predictive analytics through to cutting-edge Generative AI applications. You will develop production-ready AI solutions, contribute to the evolution of our MLOps capabilities and reusable accelerators, and help shape innovative proof-of-concepts and client proposals that showcase Envitia's AI expertise. Working within multidisciplinary teams, you will collaborate closely with data engineers, software engineers, analysts, visualisation specialists and consultants, supported by a developing AI Community of Practice. Typical engagements include: Designing, developing and deploying machine learning and AI solutions to solve complex operational challenges. Developing scalable data pipelines and AI services that transform structured and unstructured data into actionable insights. Implementing MLOps practices to support model deployment, monitoring, governance and continuous improvement. Applying Natural Language Processing (NLP), predictive analytics and decision-support techniques to mission-critical use cases. Developing API-driven AI services and integrating AI capabilities into enterprise and operational systems. Delivering cloud-native and containerised AI solutions within secure environments. Working with clients to identify opportunities for AI adoption and translate business challenges into practical technical solutions. Responsibilities Design, develop, train and deploy machine learning and AI models, including predictive analytics, natural language processing (NLP), computer vision and Generative AI solutions, to support client mission and business outcomes. Build scalable, reusable AI products, accelerators and solution components that can be deployed across multiple client engagements, improving delivery efficiency and consistency. Develop and integrate Generative AI and large language model (LLM) capabilities using platforms such as Azure AI Foundry and Azure OpenAI, ensuring solutions are secure, responsible and aligned to client requirements. Implement and continuously improve MLOps practices, including model deployment, monitoring, governance, retraining and lifecycle management, to ensure reliable production operation of AI systems. Engineer features, datasets and data pipelines across structured and unstructured data sources, working closely with data engineers and analysts to deliver actionable insights. Apply responsible AI principles, ensuring fairness, transparency, explainability, security and compliance throughout the AI solution lifecycle. Collaborate with consultants, technical specialists and client stakeholders to understand operational challenges and translate them into practical, value-driven AI solutions. Contribute to technical proposals, demonstrations, proof-of-concepts and thought leadership activities that showcase Envitia's AI capabilities and support business growth. Stay current with emerging AI technologies, frameworks and best practices, identifying opportunities to enhance Envitia's capabilities and client offerings. Support knowledge sharing, mentoring and capability development across the AI team, wider Consulting function and AI Community of Practice. Experience Required Essential Strong Python programming and hands-on experience with core ML/AI libraries (for example scikit-learn, TensorFlow, PyTorch). Practical experience developing, training and evaluating machine learning, NLP and predictive models. Experience deploying AI/ML in the cloud, particularly Microsoft Azure (Azure AI/ML, Azure AI Foundry / Azure OpenAI). Working knowledge of Generative AI / large language models and prompt engineering applied to practical use cases. Understanding of MLOps practices for model deployment, monitoring and lifecycle management. Solid data engineering skills across structured and unstructured data, with awareness of responsible AI, data governance and security; strong communication skills for technical and non-technical audiences. Desirable Experience in a consulting or client-facing delivery environment. Exposure to data visualisation (Power BI, Tableau) and rapid front-end prototyping (Streamlit, Flask, Django, Figma). Experience working with geospatial data. Experience delivering within the UK public sector, Defence or National Security. Exposure to Databricks and/or Snowflake. A relevant degree (Computer Science, Data Science, AI/ML or related) or equivalent practical experience. Security Clearance Requirements The successful candidate must be eligible to obtain and maintain a SC level security clearance. Location The role will require travel to our Horsham offices 2 days a month as well as travel to customer sites in the UK when required. What it's like to work at Envitia At Envitia, we believe that our greatest asset is our people. We're committed to fostering a work environment where every employee feels valued, supported, and motivated to excel. Our comprehensive benefits package is designed to enhance both your professional and personal wellbeing, including: Annual Leave: 25 days plus your birthday off, with the ability to buy or sell up to five additional days Private Healthcare: Comprehensive coverage with additional options for family members Training & Skills Development: Ongoing learning opportunities to help you advance your career Fitness Reimbursement: Support for gym memberships or fitness-related expenses Life Assurance: Extensive life insurance coverage for peace of mind Pension Contribution: Competitive options to help you plan for a secure financial future Perkbox Subscription: Discounts on a wide range of products and services Flexible Work Arrangements: Designed to support work-life balance and personal commitments Internal Reward Schemes: Recognition initiatives to celebrate your contributions and achievements Community Engagement & Volunteering: Opportunities to support meaningful causes through company-sponsored programs Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. If you require any accommodations during the application or interview process, please let us know.
hackajob is collaborating with Made Tech to connect them with exceptional professionals for this role. Made Tech helps UK public sector organisations build and run better digital services. Our Cyber practice sits at the heart of that mission - working alongside government departments, agencies, and critical national infrastructure owners to improve how they detect, respond to, and learn from cyber threats. As a Lead Security Analyst, you'll be the most senior analyst on your engagement, setting the technical direction for the SOC and owning the quality of what the team produces - from detection engineering to threat-hunting to incident response. This isn't a role where you disappear into a ticket queue. You'll shape the threat-landscape narrative for your engagement, drive the detection backlog, and build the capability of the analysts around you. That means pairing on complex investigations, setting tradecraft standards, and making sure the team's detection content is version-controlled, peer-reviewed, and continuously improved - not left to age in a SIEM. You'll also be the trusted technical interface for client security stakeholders, translating what the SOC is seeing into the language that informs decisions. The UK public sector context matters here. You'll align your work to NCSC guidance, the Cyber Assessment Framework, and OFFICIAL handling requirements - not because compliance is the goal, but because those frameworks reflect the real risk environment your clients operate in. You'll engage with cross-government security communities, feed detection content and runbooks back into the Cyber practice, and help grow a bench of analysts who can operate at the same standard. Key Responsibilities Set the detection engineering standard - author, tune, and peer-review detections in KQL, SPL, EQL, or Sigma; manage the false-positive backlog; map coverage to MITRE ATT&CK; and train L1/L2 analysts to write and tune detections themselves. Own the threat-landscape narrative for your engagement - turn intelligence from NCSC advisories, sector feeds, and threat actor reporting into hunt themes, coverage gap analysis, and detection priorities that the SOC and client stakeholders can act on. Run the intelligence cycle as a managed discipline - maintain a collection plan, produce timely and rigorous intelligence products, and build feedback loops that keep the cycle honest and improving. Establish and lead security incident response practice - build playbooks, define the severity model, run exercises, and lead the team's response to significant incidents; run blameless post-mortems that the team actually learns from. Design the log and telemetry pipeline that detections run on - including bespoke application telemetry in cloud environments, not just commodity endpoint feeds; ensure the right signals are collected, parsed, and retained for both detection and investigation. Be the trusted technical interface for client security stakeholders - communicate what the SOC is detecting, investigating, and covering without losing fidelity; surface risks early and honestly, and align the team's priorities to the client's risk picture. Grow the analysts around you - pair on detection authorship and incident response as a default, set pairing as the team norm, and actively build the capability of L1 and L2 analysts through structured mentoring and coaching so knowledge isn't concentrated in one person. Contribute to the Cyber practice beyond your engagement - feed detection content, runbooks, and lessons learned back into shared practice resources; contribute to analyst assessment and hiring; and engage with public-sector security communities including NCSC CISP and relevant ISACs. Skills, Knowledge & Expertise We're looking for someone who holds one of the following, or an equivalent senior cyber operations leadership credential: Certified Information Systems Security Professional (CISSP) Certified Information Security Manager (CISM) CompTIA Advanced Security Practitioner (CASP+) Experience leading detection engineering in a SOC or similar environment - including writing and tuning detections in KQL, SPL, EQL, or Sigma, and managing coverage against MITRE ATT&CK Experience designing or improving a log and telemetry pipeline, including application-level telemetry from cloud-hosted services (AWS is a strong preference at this grade), with an understanding of how to design monitoring for failure modes and degraded states Evidence of running the intelligence cycle as a managed discipline - collection planning, production, and feedback - rather than consuming finished intelligence Working knowledge of UK government security standards and frameworks, including NCSC CAF Objective C, GovAssure, and OFFICIAL handling requirements Experience establishing incident response practice - playbooks, severity models, and exercises - not just responding to individual incidents Evidence of growing the technical capability of less experienced analysts through pairing, structured mentoring, or coaching, including setting clear goals and tracking progress over time Experience anchoring delivery on client outcomes rather than task completion - challenging the brief where it serves the client and making value visible rather than reporting effort Evidence of contributing reusable assets - detection playbooks, runbooks, templates, or accelerators - back into a practice or community, rather than leaving knowledge within a single team Tools and practices Familiarity with SOAR tooling and automation of triage and enrichment workflows Experience working in Kanban-led operating models, including managing triage queues, WIP limits, and class-of-service for incidents Experience running or contributing to skills-based technical assessments that evaluate demonstrated capability rather than credentials or years of experience Made Tech sponsors attainment of recognised cyber certifications for staff in scope. If you don't yet hold the essential credentials listed above but are working toward them - or can demonstrate equivalent capability through your experience - we'd still like to hear from you. Job Benefits We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We're also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. Here are some of our most popular benefits listed below: 30 days Holiday - we offer 30 days of paid annual leave Flexible Working Hours - we are flexible with what hours you work Flexible Parental Leave - we offer flexible parental leave options Remote Working - we offer part time remote working for all our staff Paid counselling - we offer paid counselling as well as financial and legal advice At this point, we hope you're feeling excited about Made Tech and the job opportunity. Get in touch with our talent team if you'd like an informal chat about the role and your suitability before applying. We are hiring for this role directly, so will not respond to any CVs sent via external recruitment agencies. SC Eligibility An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' UK residency and 5 year' employment history (or back to full-time education). Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. Support in applying If you need this job description in another format, or other support in applying, please email . We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We're collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. When you apply, we'll put you in touch with a member of our talent team who can help with any needs or adjustments we may need to make to help with your application. We've put together this blog as a resource to share more about reasonable adjustments and some examples of what this could include. We also welcome any feedback on how we can improve the experience for future candidates.
Jul 14, 2026
Full time
hackajob is collaborating with Made Tech to connect them with exceptional professionals for this role. Made Tech helps UK public sector organisations build and run better digital services. Our Cyber practice sits at the heart of that mission - working alongside government departments, agencies, and critical national infrastructure owners to improve how they detect, respond to, and learn from cyber threats. As a Lead Security Analyst, you'll be the most senior analyst on your engagement, setting the technical direction for the SOC and owning the quality of what the team produces - from detection engineering to threat-hunting to incident response. This isn't a role where you disappear into a ticket queue. You'll shape the threat-landscape narrative for your engagement, drive the detection backlog, and build the capability of the analysts around you. That means pairing on complex investigations, setting tradecraft standards, and making sure the team's detection content is version-controlled, peer-reviewed, and continuously improved - not left to age in a SIEM. You'll also be the trusted technical interface for client security stakeholders, translating what the SOC is seeing into the language that informs decisions. The UK public sector context matters here. You'll align your work to NCSC guidance, the Cyber Assessment Framework, and OFFICIAL handling requirements - not because compliance is the goal, but because those frameworks reflect the real risk environment your clients operate in. You'll engage with cross-government security communities, feed detection content and runbooks back into the Cyber practice, and help grow a bench of analysts who can operate at the same standard. Key Responsibilities Set the detection engineering standard - author, tune, and peer-review detections in KQL, SPL, EQL, or Sigma; manage the false-positive backlog; map coverage to MITRE ATT&CK; and train L1/L2 analysts to write and tune detections themselves. Own the threat-landscape narrative for your engagement - turn intelligence from NCSC advisories, sector feeds, and threat actor reporting into hunt themes, coverage gap analysis, and detection priorities that the SOC and client stakeholders can act on. Run the intelligence cycle as a managed discipline - maintain a collection plan, produce timely and rigorous intelligence products, and build feedback loops that keep the cycle honest and improving. Establish and lead security incident response practice - build playbooks, define the severity model, run exercises, and lead the team's response to significant incidents; run blameless post-mortems that the team actually learns from. Design the log and telemetry pipeline that detections run on - including bespoke application telemetry in cloud environments, not just commodity endpoint feeds; ensure the right signals are collected, parsed, and retained for both detection and investigation. Be the trusted technical interface for client security stakeholders - communicate what the SOC is detecting, investigating, and covering without losing fidelity; surface risks early and honestly, and align the team's priorities to the client's risk picture. Grow the analysts around you - pair on detection authorship and incident response as a default, set pairing as the team norm, and actively build the capability of L1 and L2 analysts through structured mentoring and coaching so knowledge isn't concentrated in one person. Contribute to the Cyber practice beyond your engagement - feed detection content, runbooks, and lessons learned back into shared practice resources; contribute to analyst assessment and hiring; and engage with public-sector security communities including NCSC CISP and relevant ISACs. Skills, Knowledge & Expertise We're looking for someone who holds one of the following, or an equivalent senior cyber operations leadership credential: Certified Information Systems Security Professional (CISSP) Certified Information Security Manager (CISM) CompTIA Advanced Security Practitioner (CASP+) Experience leading detection engineering in a SOC or similar environment - including writing and tuning detections in KQL, SPL, EQL, or Sigma, and managing coverage against MITRE ATT&CK Experience designing or improving a log and telemetry pipeline, including application-level telemetry from cloud-hosted services (AWS is a strong preference at this grade), with an understanding of how to design monitoring for failure modes and degraded states Evidence of running the intelligence cycle as a managed discipline - collection planning, production, and feedback - rather than consuming finished intelligence Working knowledge of UK government security standards and frameworks, including NCSC CAF Objective C, GovAssure, and OFFICIAL handling requirements Experience establishing incident response practice - playbooks, severity models, and exercises - not just responding to individual incidents Evidence of growing the technical capability of less experienced analysts through pairing, structured mentoring, or coaching, including setting clear goals and tracking progress over time Experience anchoring delivery on client outcomes rather than task completion - challenging the brief where it serves the client and making value visible rather than reporting effort Evidence of contributing reusable assets - detection playbooks, runbooks, templates, or accelerators - back into a practice or community, rather than leaving knowledge within a single team Tools and practices Familiarity with SOAR tooling and automation of triage and enrichment workflows Experience working in Kanban-led operating models, including managing triage queues, WIP limits, and class-of-service for incidents Experience running or contributing to skills-based technical assessments that evaluate demonstrated capability rather than credentials or years of experience Made Tech sponsors attainment of recognised cyber certifications for staff in scope. If you don't yet hold the essential credentials listed above but are working toward them - or can demonstrate equivalent capability through your experience - we'd still like to hear from you. Job Benefits We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We're also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. Here are some of our most popular benefits listed below: 30 days Holiday - we offer 30 days of paid annual leave Flexible Working Hours - we are flexible with what hours you work Flexible Parental Leave - we offer flexible parental leave options Remote Working - we offer part time remote working for all our staff Paid counselling - we offer paid counselling as well as financial and legal advice At this point, we hope you're feeling excited about Made Tech and the job opportunity. Get in touch with our talent team if you'd like an informal chat about the role and your suitability before applying. We are hiring for this role directly, so will not respond to any CVs sent via external recruitment agencies. SC Eligibility An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' UK residency and 5 year' employment history (or back to full-time education). Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. Support in applying If you need this job description in another format, or other support in applying, please email . We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We're collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. When you apply, we'll put you in touch with a member of our talent team who can help with any needs or adjustments we may need to make to help with your application. We've put together this blog as a resource to share more about reasonable adjustments and some examples of what this could include. We also welcome any feedback on how we can improve the experience for future candidates.
Your new company We provide the support services that enable Armed Forces from around the world to prepare for frontline military operations across the UK Defence Training Estate (DTE). This includes maintaining and delivering safe and sustainable infrastructure, managing and operating training areas and ranges and delivering multi-million pound projects to improve vital training assets.By joining us you will be supporting our vision to provide the best training experience we can for our Armed Forces. We are the first and only Special Purpose Vehicle to be contracted by the Ministry of Defence (MOD) as their Industry Partner on the UK Defence Training Estate and the only company that is solely dedicated to the UK DTE, delivering essential support services since 2003. Your new role The company is undergoing an exciting digital transformation, with data at the heart of our strategy. We are investing heavily in both our data platform and the data literacy of our organisation, and we are looking for a talented Data Engineer to play a crucial role in this journey.As a key member of the team, you will help shape and manage our business intelligence and analytics environment, transforming data into meaningful insights that drive better decision-making across the business.Our Values Take care of yourself and others Act with integrity and do the right thing Put the customer first Deliver on promises Take pride in your work Key Responsibilities Design, develop, deploy and maintain business intelligence solutions Write and optimise queries to meet data requirements Deliver insights through reports and visualisations Translate business needs into technical solutions Maintain and enhance data platforms and analytics systems Build and manage dimensional data models Conduct testing, troubleshooting and performance tuning Evaluate and improve existing BI systems Collaborate with technical teams to integrate systems Create and maintain technical documentation Please note: This role requires eligibility for BPSS and SC security clearance which requires a minimum of 5 years UK residency. A full UK driving licence is also required. What you'll need to succeed Essential Skills & Experience Proven experience in a data-focused role Strong background in data warehousing and dimensional modelling Understanding of database management systems, OLAP and ETL frameworks Experience with cloud data platforms (ideally Microsoft Fabric) Familiarity with Power BI or similar BI tools Ability to optimise and troubleshoot query performance Strong analytical and problem-solving skills Desirable Skills Knowledge of modern data architectures Experience with SQL, SSRS, SSIS and SSAS Experience using PySpark Familiarity with KQL Experience with data cataloguing tools Exposure to C# What you'll get in return Competitive Salary - £52,750 with a generous hybrid working policy. Pension Join our company stakeholder pension scheme, with contributions of up to 8% of your salary from Landmarc. Generous Holiday Entitlement Enjoy 25 days of annual leave pro-rata.Your holiday allowance grows with your continued service.Want more time off? You can purchase up to 10 additional days each year for greater flexibility. Other Amazing Benefits Reward Gateway Benefit Scheme : Unlock exclusive discounts and savings for you and your family. Annual Salary Review : Conducted in consultation with our recognised Trade Unions to ensure fairness. Life Assurance : Insured for three times your annual salary to provide peace of mind for your loved ones. Health Cash Plan : Access health benefits for you and your family (add up to four children under 24 to your policy). Professional Development : Reimbursement of professional fees and support for ongoing training. Family-Friendly Policies : Supporting you during life's important moments. Sick Pay : Sick pay starts after just 6 months of service. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
May 24, 2026
Full time
Your new company We provide the support services that enable Armed Forces from around the world to prepare for frontline military operations across the UK Defence Training Estate (DTE). This includes maintaining and delivering safe and sustainable infrastructure, managing and operating training areas and ranges and delivering multi-million pound projects to improve vital training assets.By joining us you will be supporting our vision to provide the best training experience we can for our Armed Forces. We are the first and only Special Purpose Vehicle to be contracted by the Ministry of Defence (MOD) as their Industry Partner on the UK Defence Training Estate and the only company that is solely dedicated to the UK DTE, delivering essential support services since 2003. Your new role The company is undergoing an exciting digital transformation, with data at the heart of our strategy. We are investing heavily in both our data platform and the data literacy of our organisation, and we are looking for a talented Data Engineer to play a crucial role in this journey.As a key member of the team, you will help shape and manage our business intelligence and analytics environment, transforming data into meaningful insights that drive better decision-making across the business.Our Values Take care of yourself and others Act with integrity and do the right thing Put the customer first Deliver on promises Take pride in your work Key Responsibilities Design, develop, deploy and maintain business intelligence solutions Write and optimise queries to meet data requirements Deliver insights through reports and visualisations Translate business needs into technical solutions Maintain and enhance data platforms and analytics systems Build and manage dimensional data models Conduct testing, troubleshooting and performance tuning Evaluate and improve existing BI systems Collaborate with technical teams to integrate systems Create and maintain technical documentation Please note: This role requires eligibility for BPSS and SC security clearance which requires a minimum of 5 years UK residency. A full UK driving licence is also required. What you'll need to succeed Essential Skills & Experience Proven experience in a data-focused role Strong background in data warehousing and dimensional modelling Understanding of database management systems, OLAP and ETL frameworks Experience with cloud data platforms (ideally Microsoft Fabric) Familiarity with Power BI or similar BI tools Ability to optimise and troubleshoot query performance Strong analytical and problem-solving skills Desirable Skills Knowledge of modern data architectures Experience with SQL, SSRS, SSIS and SSAS Experience using PySpark Familiarity with KQL Experience with data cataloguing tools Exposure to C# What you'll get in return Competitive Salary - £52,750 with a generous hybrid working policy. Pension Join our company stakeholder pension scheme, with contributions of up to 8% of your salary from Landmarc. Generous Holiday Entitlement Enjoy 25 days of annual leave pro-rata.Your holiday allowance grows with your continued service.Want more time off? You can purchase up to 10 additional days each year for greater flexibility. Other Amazing Benefits Reward Gateway Benefit Scheme : Unlock exclusive discounts and savings for you and your family. Annual Salary Review : Conducted in consultation with our recognised Trade Unions to ensure fairness. Life Assurance : Insured for three times your annual salary to provide peace of mind for your loved ones. Health Cash Plan : Access health benefits for you and your family (add up to four children under 24 to your policy). Professional Development : Reimbursement of professional fees and support for ongoing training. Family-Friendly Policies : Supporting you during life's important moments. Sick Pay : Sick pay starts after just 6 months of service. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
AI-Augmented Cyber Security Engineer We are seeking an experienced Cyber Security Engineer to join a growing security function within a confidential technology-focused organisation.This role is designed for an engineer who thrives at the intersection of cyber security, data, and emerging AI technologies. You will play a central role in designing, implementing, and continuously improving security capabilities that are increasingly enhanced by AI-driven detection, automation, and intelligent decision support.The position combines deep technical security engineering with forward-looking exploration of AI-enabled security systems, detection engineering, and autonomous or semi-autonomous security workflows. You will help shape how AI is used to improve security visibility, accelerate investigation, and continuously adapt to evolving threats.Working across multiple teams, you will be responsible for building scalable, intelligent, and adaptive security systems that evolve alongside both cyber threats and AI-enabled attack techniques.Core Skills Strong foundation in modern cyber security engineering and detection engineering principles. Experience with security monitoring platforms, SIEM systems, and alerting/detection pipelines. Strong understanding of identity and access management, endpoint security, logging, network security, and vulnerability management. Knowledge of security architecture principles and secure-by-design methodologies. Experience building automation and security workflows using Python, PowerShell, or similar tooling. Familiarity with AI-assisted security tools, machine learning concepts for detection, or data-driven security analytics. Understanding of how AI can be applied to threat detection, anomaly detection, investigation support, and security operations automation. Awareness of emerging AI-driven attack techniques, including adversarial AI and automated exploitation methods. Familiarity with security frameworks and standards such as NIST, CIS, ISO 27001, and GDPR. Strong analytical thinking with a structured, risk-based approach. Excellent communication skills with the ability to translate technical and AI-driven insights into actionable decisions. Responsibilities Design, implement, and continuously improve AI-enhanced security controls across enterprise environments. Design, implement, and continuously improve detection engineering pipelines, leveraging both traditional and AI-assisted approaches. Build and evolve intelligent monitoring systems that combine rule-based detection with behavioural and AI-driven analytics. Develop automation and AI-assisted workflows to improve alert triage, investigation speed, and operational efficiency. Work closely with engineering and security teams to integrate AI-enabled security capabilities into operational processes. Support incident investigations using advanced analytics, AI-assisted tooling, and structured threat analysis techniques. Conduct threat modelling and security architecture reviews with a focus on emerging AI-enabled risks and system complexity. Identify vulnerabilities and continuously improve remediation strategies using data-driven insights. Evaluate emerging cyber threats, including AI-generated attacks, autonomous malware, and adversarial machine learning techniques. Research, prototype, and implement AI-driven security capabilities to improve detection, response, and resilience. Design and maintain security standards, engineering patterns, and documentation for AI-enabled security systems. Support compliance and governance activities through automated evidence generation and control monitoring. Contribute to the long-term strategy for AI-driven security transformation and intelligent security operations. Experience & Qualifications Minimum 5+ years of experience in cyber security engineering, detection engineering, security operations, or related technical security disciplines. Proven experience designing, implementing, and continuously improving security controls in complex environments. Bachelor's degree in Cyber Security, Computer Science, Information Technology, or equivalent practical experience. Familiarity with AI/ML concepts applied to security use cases is highly desirable. Experience working with or building automation, analytics, or data-driven security solutions is strongly preferred. Relevant certifications are beneficial, such as CISSP, CCSP, GSEC, GIAC certifications, Security+, or equivalent. Experience in regulated or high-assurance environments is advantageous. Demonstrated curiosity and interest in AI, intelligent automation, and next-generation security technologies. The TeamThe Cyber Security team is responsible for protecting systems, digital assets, users, and data while enabling the organisation to operate securely at scale and speed.The team focuses on designing, implementing, and continuously improving intelligent security capabilities that integrate automation and AI to enhance visibility, detection quality, and response efficiency.Security is treated as an important and evolving system-continuously evolving through data, automation, and AI-assisted decision-making-rather than a static set of controls.We are a collaborative and forward-thinking organisation that values technical excellence, curiosity, and innovation.We believe the strongest security outcomes are achieved by combining human expertise with intelligent systems, automation, and AI-driven insights.What you'll be doing Designing and implementing AI-enhanced security and detection capabilities Continuously improving detection quality through data, automation, and machine intelligence Reducing manual effort through intelligent workflows and AI-assisted operations Strengthening visibility across complex environments using modern analytics approaches Building a security function that evolves alongside emerging AI-driven threats and technologies Interested? Please apply now! Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity and creating an inclusive and equitable environment for employees and applicants. We actively celebrate and embrace differences, including but not limited to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, and disability. We encourage applications from individuals of all backgrounds and experiences and all will be considered for employment without discrimination. At Eligo Recruitment diversity, equity and inclusion is integral to achieving our mission to ensure every workplace reflects the richness of human diversity.
May 20, 2026
Full time
AI-Augmented Cyber Security Engineer We are seeking an experienced Cyber Security Engineer to join a growing security function within a confidential technology-focused organisation.This role is designed for an engineer who thrives at the intersection of cyber security, data, and emerging AI technologies. You will play a central role in designing, implementing, and continuously improving security capabilities that are increasingly enhanced by AI-driven detection, automation, and intelligent decision support.The position combines deep technical security engineering with forward-looking exploration of AI-enabled security systems, detection engineering, and autonomous or semi-autonomous security workflows. You will help shape how AI is used to improve security visibility, accelerate investigation, and continuously adapt to evolving threats.Working across multiple teams, you will be responsible for building scalable, intelligent, and adaptive security systems that evolve alongside both cyber threats and AI-enabled attack techniques.Core Skills Strong foundation in modern cyber security engineering and detection engineering principles. Experience with security monitoring platforms, SIEM systems, and alerting/detection pipelines. Strong understanding of identity and access management, endpoint security, logging, network security, and vulnerability management. Knowledge of security architecture principles and secure-by-design methodologies. Experience building automation and security workflows using Python, PowerShell, or similar tooling. Familiarity with AI-assisted security tools, machine learning concepts for detection, or data-driven security analytics. Understanding of how AI can be applied to threat detection, anomaly detection, investigation support, and security operations automation. Awareness of emerging AI-driven attack techniques, including adversarial AI and automated exploitation methods. Familiarity with security frameworks and standards such as NIST, CIS, ISO 27001, and GDPR. Strong analytical thinking with a structured, risk-based approach. Excellent communication skills with the ability to translate technical and AI-driven insights into actionable decisions. Responsibilities Design, implement, and continuously improve AI-enhanced security controls across enterprise environments. Design, implement, and continuously improve detection engineering pipelines, leveraging both traditional and AI-assisted approaches. Build and evolve intelligent monitoring systems that combine rule-based detection with behavioural and AI-driven analytics. Develop automation and AI-assisted workflows to improve alert triage, investigation speed, and operational efficiency. Work closely with engineering and security teams to integrate AI-enabled security capabilities into operational processes. Support incident investigations using advanced analytics, AI-assisted tooling, and structured threat analysis techniques. Conduct threat modelling and security architecture reviews with a focus on emerging AI-enabled risks and system complexity. Identify vulnerabilities and continuously improve remediation strategies using data-driven insights. Evaluate emerging cyber threats, including AI-generated attacks, autonomous malware, and adversarial machine learning techniques. Research, prototype, and implement AI-driven security capabilities to improve detection, response, and resilience. Design and maintain security standards, engineering patterns, and documentation for AI-enabled security systems. Support compliance and governance activities through automated evidence generation and control monitoring. Contribute to the long-term strategy for AI-driven security transformation and intelligent security operations. Experience & Qualifications Minimum 5+ years of experience in cyber security engineering, detection engineering, security operations, or related technical security disciplines. Proven experience designing, implementing, and continuously improving security controls in complex environments. Bachelor's degree in Cyber Security, Computer Science, Information Technology, or equivalent practical experience. Familiarity with AI/ML concepts applied to security use cases is highly desirable. Experience working with or building automation, analytics, or data-driven security solutions is strongly preferred. Relevant certifications are beneficial, such as CISSP, CCSP, GSEC, GIAC certifications, Security+, or equivalent. Experience in regulated or high-assurance environments is advantageous. Demonstrated curiosity and interest in AI, intelligent automation, and next-generation security technologies. The TeamThe Cyber Security team is responsible for protecting systems, digital assets, users, and data while enabling the organisation to operate securely at scale and speed.The team focuses on designing, implementing, and continuously improving intelligent security capabilities that integrate automation and AI to enhance visibility, detection quality, and response efficiency.Security is treated as an important and evolving system-continuously evolving through data, automation, and AI-assisted decision-making-rather than a static set of controls.We are a collaborative and forward-thinking organisation that values technical excellence, curiosity, and innovation.We believe the strongest security outcomes are achieved by combining human expertise with intelligent systems, automation, and AI-driven insights.What you'll be doing Designing and implementing AI-enhanced security and detection capabilities Continuously improving detection quality through data, automation, and machine intelligence Reducing manual effort through intelligent workflows and AI-assisted operations Strengthening visibility across complex environments using modern analytics approaches Building a security function that evolves alongside emerging AI-driven threats and technologies Interested? Please apply now! Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity and creating an inclusive and equitable environment for employees and applicants. We actively celebrate and embrace differences, including but not limited to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, and disability. We encourage applications from individuals of all backgrounds and experiences and all will be considered for employment without discrimination. At Eligo Recruitment diversity, equity and inclusion is integral to achieving our mission to ensure every workplace reflects the richness of human diversity.
Your new company A Data Architect is required on a permanent basis to join an inclusive and forward-thinking organisation based in Wakefield. The organisation promotes diversity, work-life balance, and professional development in an environment where employees can thrive. Your new role As a Data Architect, you will play a pivotal role in the Business Intelligence & Data Team. You'll lead the design, development, and implementation of enterprise-wide data architecture, ensuring data is treated as a strategic asset. Your work will enable high-quality, secure, and accessible data to drive organisational insight and decision-making. Key Duties: Designing scalable, secure, future-proof enterprise data architecture Defining data modelling standards, integration patterns, and governance frameworks Leading the design of data platforms, including cloud solutions and data warehouses Translating business requirements into robust technical solutions Ensuring data quality, security, and GDPR compliance Providing technical coaching and mentoring to data professionals Evaluating emerging data technologies and recommending adoption Supporting metadata management and Master Data Management (MDM) initiatives What you'll need to succeed Data modelling Data dictionaries Good understanding of data architecture and principles Exposure to data quality management and profilingto be hands on, but understanding of data cleansing etc ETL design and orchestration Experience in data migration and implementation CRM dynamics would be great, but not essential Experience in data warehousing Comfortable with engaging with technical and non technical stakeholders What you'll get in return Salary up to £58,000 Generous annual leave (24 days + bank holidays + 3 Christmas close down days) Local Government Pension Scheme Health and wellbeing package Flexi-scheme and flexible working options Family-friendly policies Cycle to Work scheme Subsidised canteen and free parking Opportunities for continuous learning and development What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
May 18, 2026
Full time
Your new company A Data Architect is required on a permanent basis to join an inclusive and forward-thinking organisation based in Wakefield. The organisation promotes diversity, work-life balance, and professional development in an environment where employees can thrive. Your new role As a Data Architect, you will play a pivotal role in the Business Intelligence & Data Team. You'll lead the design, development, and implementation of enterprise-wide data architecture, ensuring data is treated as a strategic asset. Your work will enable high-quality, secure, and accessible data to drive organisational insight and decision-making. Key Duties: Designing scalable, secure, future-proof enterprise data architecture Defining data modelling standards, integration patterns, and governance frameworks Leading the design of data platforms, including cloud solutions and data warehouses Translating business requirements into robust technical solutions Ensuring data quality, security, and GDPR compliance Providing technical coaching and mentoring to data professionals Evaluating emerging data technologies and recommending adoption Supporting metadata management and Master Data Management (MDM) initiatives What you'll need to succeed Data modelling Data dictionaries Good understanding of data architecture and principles Exposure to data quality management and profilingto be hands on, but understanding of data cleansing etc ETL design and orchestration Experience in data migration and implementation CRM dynamics would be great, but not essential Experience in data warehousing Comfortable with engaging with technical and non technical stakeholders What you'll get in return Salary up to £58,000 Generous annual leave (24 days + bank holidays + 3 Christmas close down days) Local Government Pension Scheme Health and wellbeing package Flexi-scheme and flexible working options Family-friendly policies Cycle to Work scheme Subsidised canteen and free parking Opportunities for continuous learning and development What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
