Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Enterprise Data & Analytics - Analytics and Insights - Consultant# 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 ROLEJoin a dynamic and growing team of analytics and AI specialists united by a mission to deliver end-to-end transformations that drive tangible business value. As an Analytics and Insights Consultant you will contribute to flagship projects, influence enterprise transformation, and execute innovative solutions to address the complex challenges of our clients.In this role you will play a key role in: Leading & contributing to scalable delivery: Operate as a product owner, managing agile planning, governance, and execution to deliver cost-effective, scalable analytics and BI products. Modernising data and platforms: Provide advisory and hands-on support for transforming legacy data platforms, including data engineering and platform configuration. Designing and implementing analytics products: Translate business requirements into technical solutions that ensure scalability, robust data governance and optimal performance. Developing innovative solutions: Create PoCs and MVPs for Data & AI solutions focusing on pipeline automation, ELT/ETL processes, and deployment through enterprise data platforms. Enabling data-driven insights: Conduct data modelling best practices through schema design, semantic modelling and statistical analysis, while understanding sector-specific datasets and business processes to deliver actionable insights. Crafting compelling user experiences: Blend user-centred design with storytelling to deliver impactful Gen AI/BI, WebApps and data products interfaces, leveraging UI/UX design frameworks and user acceptance testing (UAT) processes. Measuring the impact of AI: Apply methodologies such as business KPI frameworks, performance analytics and graph analytics to implement, monitor, and demonstrate the business value of AI-infused products & insights.This role also provides opportunities to contribute to the broader business through: Business Development - Contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal Contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offer development. Learning & Development - Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILEWe are looking for candidates who bring a combination of technical expertise, consultancy experience, and leadership skills to excel in this role. The ideal candidate will demonstrate most or all of the following:Consulting Experience: Currently working in a major Consulting firm or in industry with a Consulting background, with solid foundation of technical expertise and project delivery experience. Comfortable managing stakeholders and working across various stages of End-to-End Analytics / AI Transformation or Large-scale Deployments / Technology Implementation Programmes. Demonstrate capability in agile methodologies and project governance tools and artifacts for product delivery. Ability to simplify the complex and story tell to show outcomes as a product of business and technology transformation with data & AI. A passion that is contagious for your chosen Industries.Analytical Skills: Hands-on experience in: Data modelling, statistical analysis, machine learning or advanced analytics with solid experience delivering best practice data models within an organisation Proficient in using frontend BI tools to create dashboards and interactive visual reports (such as Power BI, Tableau, Qlik or Looker) to provide advisory and solutions to real-world data complications faced by our clients.Analytics technologies: Hands-on experience in at least two of the following: Power Platform, with a focus on Power Apps (Canvas and Model-Driven) and Dataverse. Experience with Copilot Studio experience is a plus. Programming languages such as Python, R or SQL. Cloud platforms experience such as AWS, Azure or GCP. Enterprise data solutions (e.g. Microsoft Fabric, Databricks, Snowflake, Informatica ). Stakeholder Management and Presentation Skills: Evidence of effective stakeholder management to address business challenges, storytelling, and presentation skills, with a track record of helping clients better understand and extract value from their data.Project Management Skills: Experience managing data-led projects using governance tools and delivery artifacts such as JIRA, Confluence or Miro, and practical experience with agile methodologies such as Scrum, Kanban, or SAFe frameworks. Security Clearance Eligibility: Must be eligible for SC clearance.And experience in at least one of the following: Product Ownership: Proven experience in managing and delivering data-driven products and platforms, defining roadmaps, prioritising features, managing backlogs, and aligning cross-functional teams to deliver scalable analytics and AI solutions. Data Modelling & Transformation skills: Hands-on experience in transforming and wrangling data to build scalable data models that generate automated insights. Solution Architecture: Familiarity with feature sets of one or more Data & AI Platforms such as Microsoft Fabric, Databricks or Informatica.Desirable Skills: Experience in UX design, requirements gathering, data-driven decision-making, risk assessment, KPI framework development, or value tracking and value analysis. Experience using Gen AI tools such as LangChain and Model Context Protocol (MCP) to demonstrate how Gen AI / BI can unlock business value. Experience in ingestion, integration, data engineering, data quality and observability, dataset identification. Experience in business case development and financial modelling. Experience supporting client proposals, RFPs, bids and proposition development.At Capgemini we don't just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion 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.CSR:We'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
Jan 28, 2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Enterprise Data & Analytics - Analytics and Insights - Consultant# 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 ROLEJoin a dynamic and growing team of analytics and AI specialists united by a mission to deliver end-to-end transformations that drive tangible business value. As an Analytics and Insights Consultant you will contribute to flagship projects, influence enterprise transformation, and execute innovative solutions to address the complex challenges of our clients.In this role you will play a key role in: Leading & contributing to scalable delivery: Operate as a product owner, managing agile planning, governance, and execution to deliver cost-effective, scalable analytics and BI products. Modernising data and platforms: Provide advisory and hands-on support for transforming legacy data platforms, including data engineering and platform configuration. Designing and implementing analytics products: Translate business requirements into technical solutions that ensure scalability, robust data governance and optimal performance. Developing innovative solutions: Create PoCs and MVPs for Data & AI solutions focusing on pipeline automation, ELT/ETL processes, and deployment through enterprise data platforms. Enabling data-driven insights: Conduct data modelling best practices through schema design, semantic modelling and statistical analysis, while understanding sector-specific datasets and business processes to deliver actionable insights. Crafting compelling user experiences: Blend user-centred design with storytelling to deliver impactful Gen AI/BI, WebApps and data products interfaces, leveraging UI/UX design frameworks and user acceptance testing (UAT) processes. Measuring the impact of AI: Apply methodologies such as business KPI frameworks, performance analytics and graph analytics to implement, monitor, and demonstrate the business value of AI-infused products & insights.This role also provides opportunities to contribute to the broader business through: Business Development - Contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal Contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offer development. Learning & Development - Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILEWe are looking for candidates who bring a combination of technical expertise, consultancy experience, and leadership skills to excel in this role. The ideal candidate will demonstrate most or all of the following:Consulting Experience: Currently working in a major Consulting firm or in industry with a Consulting background, with solid foundation of technical expertise and project delivery experience. Comfortable managing stakeholders and working across various stages of End-to-End Analytics / AI Transformation or Large-scale Deployments / Technology Implementation Programmes. Demonstrate capability in agile methodologies and project governance tools and artifacts for product delivery. Ability to simplify the complex and story tell to show outcomes as a product of business and technology transformation with data & AI. A passion that is contagious for your chosen Industries.Analytical Skills: Hands-on experience in: Data modelling, statistical analysis, machine learning or advanced analytics with solid experience delivering best practice data models within an organisation Proficient in using frontend BI tools to create dashboards and interactive visual reports (such as Power BI, Tableau, Qlik or Looker) to provide advisory and solutions to real-world data complications faced by our clients.Analytics technologies: Hands-on experience in at least two of the following: Power Platform, with a focus on Power Apps (Canvas and Model-Driven) and Dataverse. Experience with Copilot Studio experience is a plus. Programming languages such as Python, R or SQL. Cloud platforms experience such as AWS, Azure or GCP. Enterprise data solutions (e.g. Microsoft Fabric, Databricks, Snowflake, Informatica ). Stakeholder Management and Presentation Skills: Evidence of effective stakeholder management to address business challenges, storytelling, and presentation skills, with a track record of helping clients better understand and extract value from their data.Project Management Skills: Experience managing data-led projects using governance tools and delivery artifacts such as JIRA, Confluence or Miro, and practical experience with agile methodologies such as Scrum, Kanban, or SAFe frameworks. Security Clearance Eligibility: Must be eligible for SC clearance.And experience in at least one of the following: Product Ownership: Proven experience in managing and delivering data-driven products and platforms, defining roadmaps, prioritising features, managing backlogs, and aligning cross-functional teams to deliver scalable analytics and AI solutions. Data Modelling & Transformation skills: Hands-on experience in transforming and wrangling data to build scalable data models that generate automated insights. Solution Architecture: Familiarity with feature sets of one or more Data & AI Platforms such as Microsoft Fabric, Databricks or Informatica.Desirable Skills: Experience in UX design, requirements gathering, data-driven decision-making, risk assessment, KPI framework development, or value tracking and value analysis. Experience using Gen AI tools such as LangChain and Model Context Protocol (MCP) to demonstrate how Gen AI / BI can unlock business value. Experience in ingestion, integration, data engineering, data quality and observability, dataset identification. Experience in business case development and financial modelling. Experience supporting client proposals, RFPs, bids and proposition development.At Capgemini we don't just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion 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.CSR:We'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
Data Science Engineer My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy. Key Responsibilities End-to-end development of AI/ML solutions. MLOps practices: CI/CD, model monitoring, retraining. Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks). Generative AI features: embeddings, RAG, AI agents. Clean, testable code with modern engineering practices. Align with enterprise architecture and governance. Collaborate with architects and stakeholders. Lifecycle management of models. Pilot emerging technologies. Experience & Skills 2-4 years in production-level AI/ML delivery. Legal/professional services experience is a plus. AI/ML frameworks: PyTorch, TensorFlow, LangChain. Cloud: Azure (preferred), AWS, GCP. MLOps: CI/CD, model lifecycle, monitoring. Generative AI: LLMs, RAG, chat agents. Data engineering alignment: ETL, governance. Strong coding, communication, and collaboration skills. Strategic thinking, problem-solving, and stakeholder engagement. In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position. DGH Recruitment Limited acts as both an Employment Agency and Employment Business
Jan 28, 2026
Full time
Data Science Engineer My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy. Key Responsibilities End-to-end development of AI/ML solutions. MLOps practices: CI/CD, model monitoring, retraining. Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks). Generative AI features: embeddings, RAG, AI agents. Clean, testable code with modern engineering practices. Align with enterprise architecture and governance. Collaborate with architects and stakeholders. Lifecycle management of models. Pilot emerging technologies. Experience & Skills 2-4 years in production-level AI/ML delivery. Legal/professional services experience is a plus. AI/ML frameworks: PyTorch, TensorFlow, LangChain. Cloud: Azure (preferred), AWS, GCP. MLOps: CI/CD, model lifecycle, monitoring. Generative AI: LLMs, RAG, chat agents. Data engineering alignment: ETL, governance. Strong coding, communication, and collaboration skills. Strategic thinking, problem-solving, and stakeholder engagement. In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position. DGH Recruitment Limited acts as both an Employment Agency and Employment Business
Description Summary: Working as part of a team to establish a new way of Digital Trading within the Global Insurance Industry, you will work collaboratively with the Head of Technology and your peers to support both the set up and subsequent rapid growth journey of a new part of WTW, winning new customers and expanding into new markets internationally. The Role: Neuron is seeking a highly capable Principal Engineer to act as a senior technical leader responsible for two core pillars of impact: They will spend about 70% of their time evaluating, elevating, and maintaining engineering resilience continuously assessing our codebase, developer tooling, testing practices, standards, and operational health against Neuron's engineering vision. They own the technical bar for engineering excellence, with full authority to research, propose, and drive solutions to uphold it, including personally tackling the most complex technical work (up to 15% of their capacity). They coach and enable platform and product teams to deliver with clarity and precision, primarily by automating repetitive tasks and creating documentation that defines how teams operate. The final 30% is spent acting as a strategic technical partner to the Digital Product team, bridging the gap between product vision and technical reality. This involves illuminating what is feasible, guiding product teams on reusable service/component opportunities, and ensuring concepts are mature and well articulated to support efficient technical design and delivery. This role demands a hands on, self starting and thoughtful leader who blends deep technical expertise with strong communication and collaboration skills, driving robust, scalable, and maintainable solutions that meet both business and technical needs. Key responsibilities of this role include: Engineering Resilience & Delivery Enablement (70%) Assess the current state of the codebase, developer tooling, testing coverage, engineering standards, and operations to identify and prioritise improvement opportunities with a view to creating a resilient, consistently scalable platform. Define and communicate expectations for engineering resilience, maintainability, and operational excellence. Deliver personally the most technically challenging % of critical improvements, including complex refactoring and architecture enhancements. Collaborate with the Technical Product Owner to clearly define and prepare the remaining backlog of engineering improvements for execution by platform and product teams. Establish, promote, and enforce engineering standards around code quality, testing, and tooling. Facilitate root cause analysis and lead systemic remediation of production incidents. Advocate for continuous reduction of technical debt and foster a culture of craftsmanship and operational rigor. Product Technical Partnership & Reusability (30%) Act as the primary technical liaison to Digital Product, providing clear, honest guidance on what is feasible and the technical implications of product requests. Partner with product teams early in the idea and requirements phase to ensure concepts are sufficiently defined and technically viable. Champion the design and build of reusable backend services and components that can be leveraged across multiple business areas. Collaborate with product leadership to prioritise work that maximises reuse and technical efficiency. Help bridge the gap between product vision and engineering execution, ensuring smoother delivery and alignment on scope and timelines. Qualifications The Requirements: Critical: Extensive years' experience in backend software engineering with strong expertise in MuleSoft, APIs, distributed systems, and scalable architectures. Proven ability to assess technical landscapes, identify gaps, and drive engineering improvement initiatives. Strong track record of personally delivering complex technical work and enabling teams to deliver effectively. Excellent communication and collaboration skills, able to translate technical realities into clear guidance for product teams. Experience working closely with product managers or product owners to shape requirements and technical approaches. Skilled mentor and influencer capable of driving adoption of engineering standards. Deep understanding of developer tooling, CI/CD, automated testing, and operational monitoring. Ability to act as an escalation point for complex technical and architectural challenges. Preferred Familiarity with cloud platforms (min. Azure & AWS) and container orchestration (Kubernetes). Knowledge of reusable service/component design patterns and API-first development. Experience in domain-driven design and event-driven architectures. Strong background operating and running Agile software development and continuous delivery processes. Previous experience in technical partnership roles or bridging product and engineering. Role-Specific Tools & Technologies Core Tools: MuleSoft, REST APIs, MongoDB. Cloud & Infrastructure: Azure, AWS, Terraform, Kubernetes. Success In This Role Looks Like Comprehensive assessment of codebase, tooling, testing, and operational health completed, vision of improvements and a strategic implementation plan communicated. A prioritised, well defined backlog of engineering improvements prepared and actively delivered by platform and product teams. Delivery of the hardest 5-15% of critical technical improvements with measurable impact on resilience and maintainability. Established and authored engineering standards, widely adopted across teams. Defined and ongoing delivery of reusable backend services/components aligned with business priorities. Clear, trusted technical partnership with Digital Product; product concepts consistently mature and delivery ready. Mentor and elevate senior developers to have increased technical product knowledge. Please note that this is a hybrid role, requiring 2 days per week in the office, and based in the London office. Benefits - GB Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle to work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued, and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity. We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email
Jan 28, 2026
Full time
Description Summary: Working as part of a team to establish a new way of Digital Trading within the Global Insurance Industry, you will work collaboratively with the Head of Technology and your peers to support both the set up and subsequent rapid growth journey of a new part of WTW, winning new customers and expanding into new markets internationally. The Role: Neuron is seeking a highly capable Principal Engineer to act as a senior technical leader responsible for two core pillars of impact: They will spend about 70% of their time evaluating, elevating, and maintaining engineering resilience continuously assessing our codebase, developer tooling, testing practices, standards, and operational health against Neuron's engineering vision. They own the technical bar for engineering excellence, with full authority to research, propose, and drive solutions to uphold it, including personally tackling the most complex technical work (up to 15% of their capacity). They coach and enable platform and product teams to deliver with clarity and precision, primarily by automating repetitive tasks and creating documentation that defines how teams operate. The final 30% is spent acting as a strategic technical partner to the Digital Product team, bridging the gap between product vision and technical reality. This involves illuminating what is feasible, guiding product teams on reusable service/component opportunities, and ensuring concepts are mature and well articulated to support efficient technical design and delivery. This role demands a hands on, self starting and thoughtful leader who blends deep technical expertise with strong communication and collaboration skills, driving robust, scalable, and maintainable solutions that meet both business and technical needs. Key responsibilities of this role include: Engineering Resilience & Delivery Enablement (70%) Assess the current state of the codebase, developer tooling, testing coverage, engineering standards, and operations to identify and prioritise improvement opportunities with a view to creating a resilient, consistently scalable platform. Define and communicate expectations for engineering resilience, maintainability, and operational excellence. Deliver personally the most technically challenging % of critical improvements, including complex refactoring and architecture enhancements. Collaborate with the Technical Product Owner to clearly define and prepare the remaining backlog of engineering improvements for execution by platform and product teams. Establish, promote, and enforce engineering standards around code quality, testing, and tooling. Facilitate root cause analysis and lead systemic remediation of production incidents. Advocate for continuous reduction of technical debt and foster a culture of craftsmanship and operational rigor. Product Technical Partnership & Reusability (30%) Act as the primary technical liaison to Digital Product, providing clear, honest guidance on what is feasible and the technical implications of product requests. Partner with product teams early in the idea and requirements phase to ensure concepts are sufficiently defined and technically viable. Champion the design and build of reusable backend services and components that can be leveraged across multiple business areas. Collaborate with product leadership to prioritise work that maximises reuse and technical efficiency. Help bridge the gap between product vision and engineering execution, ensuring smoother delivery and alignment on scope and timelines. Qualifications The Requirements: Critical: Extensive years' experience in backend software engineering with strong expertise in MuleSoft, APIs, distributed systems, and scalable architectures. Proven ability to assess technical landscapes, identify gaps, and drive engineering improvement initiatives. Strong track record of personally delivering complex technical work and enabling teams to deliver effectively. Excellent communication and collaboration skills, able to translate technical realities into clear guidance for product teams. Experience working closely with product managers or product owners to shape requirements and technical approaches. Skilled mentor and influencer capable of driving adoption of engineering standards. Deep understanding of developer tooling, CI/CD, automated testing, and operational monitoring. Ability to act as an escalation point for complex technical and architectural challenges. Preferred Familiarity with cloud platforms (min. Azure & AWS) and container orchestration (Kubernetes). Knowledge of reusable service/component design patterns and API-first development. Experience in domain-driven design and event-driven architectures. Strong background operating and running Agile software development and continuous delivery processes. Previous experience in technical partnership roles or bridging product and engineering. Role-Specific Tools & Technologies Core Tools: MuleSoft, REST APIs, MongoDB. Cloud & Infrastructure: Azure, AWS, Terraform, Kubernetes. Success In This Role Looks Like Comprehensive assessment of codebase, tooling, testing, and operational health completed, vision of improvements and a strategic implementation plan communicated. A prioritised, well defined backlog of engineering improvements prepared and actively delivered by platform and product teams. Delivery of the hardest 5-15% of critical technical improvements with measurable impact on resilience and maintainability. Established and authored engineering standards, widely adopted across teams. Defined and ongoing delivery of reusable backend services/components aligned with business priorities. Clear, trusted technical partnership with Digital Product; product concepts consistently mature and delivery ready. Mentor and elevate senior developers to have increased technical product knowledge. Please note that this is a hybrid role, requiring 2 days per week in the office, and based in the London office. Benefits - GB Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle to work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued, and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity. We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email
You will need to login before you can apply for a job. Employer Invesco EMEA Location Henley-on-Thames, Oxfordshire, United Kingdom Salary Competitive Closing date 24 Feb 2026 As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. Benefits Company-provided healthcare A competitive annual leave allowance Flexible working options, including hybrid working arrangements Generous pension provisions Income protection Health and wellness benefits Volunteering days Enhanced parental leave Life insurance Your Role Lead the technical assessment, architecture, and continuous enhancement of technology risk controls across hybrid and cloud-native environments. Leverage advanced engineering practices, automation, and analytics to proactively identify, quantify, and mitigate risks, embedding a culture of technical excellence and risk accountability. What you will be doing Architect and implement robust technology risk controls, and assessments using advanced engineering techniques, chaos engineering, automated fault injection, adversarial simulations across cloud (AWS, Azure, GCP) and on-premises platforms. Design and operationalize real-time Key Risk Indicators (KRIs) by integrating telemetry from SIEM (e.g., Splunk, Sentinel), CSPM (e.g., Prisma Cloud, Wiz), EDR, and workload protection platforms. Develop analytics pipelines for early risk detection and automated alerting. Lead the technical governance of risk remediation, orchestrating automated workflows (e.g., SOAR, IaC-based remediation) to ensure timely, effective, and sustainable outcomes. Develop and maintain integrated, actionable risk dashboards and reporting using Power BI, custom APIs, and data engineering best practices. Partner with engineering, DevOps, and SRE teams to embed risk controls into CI/CD pipelines, deliver technical training, and drive adoption of secure-by-design principles. Build and mentor a community of risk-aware technologists, championing best practices in secure architecture, cloud security, and regulatory compliance automation. Ensure all technical activities align with Invesco's Conduct principles and support audit-readiness and regulatory requirements (SOX, DORA, GDPR, EU AI Act). What you will bring Hands on experience in technology architecture, engineering, or cybersecurity within complex, regulated enterprises. Expertise in designing and implementing controls for hybrid and cloud-native systems (AWS, Azure, GCP). Deep expertise in risk analytics, SIEM, CSPM, EDR, automation (Python, PowerShell, Terraform), and integration with GRC platforms. Deep technical knowledge of enterprise systems, cloud platforms, infrastructure, and application architectures. Proven understanding of risk management frameworks (e.g., NIST, ISO 27005, FAIR) and regulatory requirements (e.g., SOX, DORA, GDPR) preferred. Technology Impacting Regulations such as GDPR, DORA, EU AI Act. Preferred Certifications: TOGAF Enterprise Architect Practitioner, ArchiMate 3 Practitioner, AWS Solution Architect Associate, ITIL 4 Foundation, Artificial Intelligence and Generative AI Professional, CRISC. Excellent communication and stakeholder engagement skills, with the ability to influence across technical and non-technical audiences. Disability Confident Scheme Applicants who opt in to the Disability Confident Scheme and meet the 'minimum criteria' for the role will be offered an interview. We are committed to providing an inclusive recruitment process for all candidates who make an application. By opting-in to this scheme, applicants will be disclosing that they have a disability solely for the purpose of the Disability Confident Scheme. The Disability Confident Scheme only guarantees an interview - it does not automatically mean that applicants interviewed will gain employment with Invesco at that time. To apply through the Disability Confident Scheme, you'll need to firstly ensure you have applied for the role via our external careers page. Following this, you'll need to email us at confirming your wish to opt-in, alongside your contact details and the title of the role you wish to apply for. Full Time / Part Time Full time Worker Type Employee Job Exempt Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. If this sounds like you, we'd love to hear from you! We want all of our candidates to shine during the application and selection process, so if you need any adjustments to be made, please send an e-mail to . Please include your name, the job you are interested in, and the type of adjustment you need (for example; breaks during your interview, remote interviews, additional time for assessments or other required adjustments). We promote a working environment that welcomes everyone and creates inclusive teams, celebrates difference and encourages everyone to be themselves at work.
Jan 28, 2026
Full time
You will need to login before you can apply for a job. Employer Invesco EMEA Location Henley-on-Thames, Oxfordshire, United Kingdom Salary Competitive Closing date 24 Feb 2026 As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. Benefits Company-provided healthcare A competitive annual leave allowance Flexible working options, including hybrid working arrangements Generous pension provisions Income protection Health and wellness benefits Volunteering days Enhanced parental leave Life insurance Your Role Lead the technical assessment, architecture, and continuous enhancement of technology risk controls across hybrid and cloud-native environments. Leverage advanced engineering practices, automation, and analytics to proactively identify, quantify, and mitigate risks, embedding a culture of technical excellence and risk accountability. What you will be doing Architect and implement robust technology risk controls, and assessments using advanced engineering techniques, chaos engineering, automated fault injection, adversarial simulations across cloud (AWS, Azure, GCP) and on-premises platforms. Design and operationalize real-time Key Risk Indicators (KRIs) by integrating telemetry from SIEM (e.g., Splunk, Sentinel), CSPM (e.g., Prisma Cloud, Wiz), EDR, and workload protection platforms. Develop analytics pipelines for early risk detection and automated alerting. Lead the technical governance of risk remediation, orchestrating automated workflows (e.g., SOAR, IaC-based remediation) to ensure timely, effective, and sustainable outcomes. Develop and maintain integrated, actionable risk dashboards and reporting using Power BI, custom APIs, and data engineering best practices. Partner with engineering, DevOps, and SRE teams to embed risk controls into CI/CD pipelines, deliver technical training, and drive adoption of secure-by-design principles. Build and mentor a community of risk-aware technologists, championing best practices in secure architecture, cloud security, and regulatory compliance automation. Ensure all technical activities align with Invesco's Conduct principles and support audit-readiness and regulatory requirements (SOX, DORA, GDPR, EU AI Act). What you will bring Hands on experience in technology architecture, engineering, or cybersecurity within complex, regulated enterprises. Expertise in designing and implementing controls for hybrid and cloud-native systems (AWS, Azure, GCP). Deep expertise in risk analytics, SIEM, CSPM, EDR, automation (Python, PowerShell, Terraform), and integration with GRC platforms. Deep technical knowledge of enterprise systems, cloud platforms, infrastructure, and application architectures. Proven understanding of risk management frameworks (e.g., NIST, ISO 27005, FAIR) and regulatory requirements (e.g., SOX, DORA, GDPR) preferred. Technology Impacting Regulations such as GDPR, DORA, EU AI Act. Preferred Certifications: TOGAF Enterprise Architect Practitioner, ArchiMate 3 Practitioner, AWS Solution Architect Associate, ITIL 4 Foundation, Artificial Intelligence and Generative AI Professional, CRISC. Excellent communication and stakeholder engagement skills, with the ability to influence across technical and non-technical audiences. Disability Confident Scheme Applicants who opt in to the Disability Confident Scheme and meet the 'minimum criteria' for the role will be offered an interview. We are committed to providing an inclusive recruitment process for all candidates who make an application. By opting-in to this scheme, applicants will be disclosing that they have a disability solely for the purpose of the Disability Confident Scheme. The Disability Confident Scheme only guarantees an interview - it does not automatically mean that applicants interviewed will gain employment with Invesco at that time. To apply through the Disability Confident Scheme, you'll need to firstly ensure you have applied for the role via our external careers page. Following this, you'll need to email us at confirming your wish to opt-in, alongside your contact details and the title of the role you wish to apply for. Full Time / Part Time Full time Worker Type Employee Job Exempt Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. If this sounds like you, we'd love to hear from you! We want all of our candidates to shine during the application and selection process, so if you need any adjustments to be made, please send an e-mail to . Please include your name, the job you are interested in, and the type of adjustment you need (for example; breaks during your interview, remote interviews, additional time for assessments or other required adjustments). We promote a working environment that welcomes everyone and creates inclusive teams, celebrates difference and encourages everyone to be themselves at work.
Job Overview Senior Scientist - Bioinformatician (Data Analysis) - full time permanent - South Mimms, Hertfordshire. Hybrid working: at least 8 days/month onsite, up to 12 days depending on business needs. Key Responsibilities Lead design, development and delivery of scalable NGS bioinformatics pipelines (Nextflow, Python, R). Manage cloud based bioinformatics infrastructure (Google Cloud Platform) ensuring reproducibility, governance and MHRA quality systems compliance. Perform quality control, statistical analysis and biological interpretation of multi modality NGS data in collaboration with cross functional teams. Mentor junior bioinformaticians, contribute to publications, grant proposals and integrate emerging technologies. Required Qualifications MSc or equivalent in Bioinformatics, Computational Biology or related discipline. Extensive experience delivering large scale bioinformatics analysis using cloud computing environments. Proficiency in Bash, Python, R, Nextflow and containerisation (Docker, Singularity, GitHub). Strong project management skills and ability to communicate complex genomic data to diverse audiences. Preferred Experience Hands on pipeline development for genomics, transcriptomics, metagenomics, microbiome profiling and single cell analysis. Experience with cloud platforms (GCP, AWS, Azure) and Unix/Linux environments. Previous leadership of analytical components in multi stakeholder projects. Assessment Method A=Application, T=Test, I=Interview, P=Presentation - assessment will follow Civil Service Success Profiles. Contact and Application Closing date: 9 February 2026. Applications open online. For questions, email .
Jan 28, 2026
Full time
Job Overview Senior Scientist - Bioinformatician (Data Analysis) - full time permanent - South Mimms, Hertfordshire. Hybrid working: at least 8 days/month onsite, up to 12 days depending on business needs. Key Responsibilities Lead design, development and delivery of scalable NGS bioinformatics pipelines (Nextflow, Python, R). Manage cloud based bioinformatics infrastructure (Google Cloud Platform) ensuring reproducibility, governance and MHRA quality systems compliance. Perform quality control, statistical analysis and biological interpretation of multi modality NGS data in collaboration with cross functional teams. Mentor junior bioinformaticians, contribute to publications, grant proposals and integrate emerging technologies. Required Qualifications MSc or equivalent in Bioinformatics, Computational Biology or related discipline. Extensive experience delivering large scale bioinformatics analysis using cloud computing environments. Proficiency in Bash, Python, R, Nextflow and containerisation (Docker, Singularity, GitHub). Strong project management skills and ability to communicate complex genomic data to diverse audiences. Preferred Experience Hands on pipeline development for genomics, transcriptomics, metagenomics, microbiome profiling and single cell analysis. Experience with cloud platforms (GCP, AWS, Azure) and Unix/Linux environments. Previous leadership of analytical components in multi stakeholder projects. Assessment Method A=Application, T=Test, I=Interview, P=Presentation - assessment will follow Civil Service Success Profiles. Contact and Application Closing date: 9 February 2026. Applications open online. For questions, email .
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale, transforming customer experiences, optimising operations, and unlocking new business capabilities across the Group. You will be involved across the AI lifecycle - from prototyping and validation to production deployment and ongoing optimisation of AI solutions. What you'll do AI Engineering & Solution Delivery Develop, design, and implement scalable, maintainable, secure, and observable AI solutions-automating decision-making, integrating with enterprise platforms, embedding LLMs, reinforcement learning, and APIs, and delivering measurable business outcomes. AI Lifecycle Ownership & Responsible AI Implement all components of the AI lifecycle, including data preparation, agent building, evaluation, monitoring, and solution deployment, while applying and extending responsible AI frameworks to ensure ethical, fair, transparent, and compliant AI usage. Standards, Governance & Reusable Assets Contribute to defining and refining AI engineering standards, templates, best practices, hybrid governance guardrails, and reusable assets (AI cookbooks), while building starter agents and configuration patterns that accelerate adoption across Sky. Microsoft Copilot Studio Expertise & Enablement Act as Sky's primary internal reference for Copilot Studio-maintaining deep knowledge of capabilities, limitations, design patterns, frequent updates, release notes, and roadmap changes-and translate new features into practical guidance, patterns, examples, and enterprise assessments of risk and opportunity. Cross-Functional Collaboration, Coaching & Culture Building Work collaboratively with teams across Sky, Group Architecture, Data, Cyber, Comcast, and external partners; train and coach power users and citizen developers; communicate AI concepts clearly to technical audiences; and foster a collaborative, supportive, and knowledge-sharing culture. Innovation, Leadership & Continuous Learning Stay ahead of AI engineering trends and emerging tools, demonstrate curiosity and initiative, balance multiple priorities with strong organisational skills, contribute ideas that drive innovation and efficiency, proactively ensure Sky leads in effective and responsible AI use, and seek ongoing professional development through mentoring, training, and hands-on experience. What you'll bring Strong software development experience in Python and/or Java, with an understanding of the Agile software development lifecycle. Proven Automation experience using Public Cloud or Microsoft Technologies Demonstrated ability to design, develop, and deliver AI-driven solutions in a large enterprise environment, following enterprise standards. Proven record of delivering AI solutions from concept to production with measurable business impact. Strong analytical and problem-solving skills, with a keen eye for performance, efficiency, and maintainability. Passionate about AI technologies, automation, and innovation at speed and scale. Experience in refactoring, optimisation, and writing clean, performant code. Hands-on experience with enterprise and cloud environments, ideally Azure ML, GCP Vertex AI, or Azure Foundry. Familiarity with AI architectures, LLMs, vector databases, and agent frameworks (e.g., Google ADK, LangChain/LangGraph) is a significant advantage. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 28, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale, transforming customer experiences, optimising operations, and unlocking new business capabilities across the Group. You will be involved across the AI lifecycle - from prototyping and validation to production deployment and ongoing optimisation of AI solutions. What you'll do AI Engineering & Solution Delivery Develop, design, and implement scalable, maintainable, secure, and observable AI solutions-automating decision-making, integrating with enterprise platforms, embedding LLMs, reinforcement learning, and APIs, and delivering measurable business outcomes. AI Lifecycle Ownership & Responsible AI Implement all components of the AI lifecycle, including data preparation, agent building, evaluation, monitoring, and solution deployment, while applying and extending responsible AI frameworks to ensure ethical, fair, transparent, and compliant AI usage. Standards, Governance & Reusable Assets Contribute to defining and refining AI engineering standards, templates, best practices, hybrid governance guardrails, and reusable assets (AI cookbooks), while building starter agents and configuration patterns that accelerate adoption across Sky. Microsoft Copilot Studio Expertise & Enablement Act as Sky's primary internal reference for Copilot Studio-maintaining deep knowledge of capabilities, limitations, design patterns, frequent updates, release notes, and roadmap changes-and translate new features into practical guidance, patterns, examples, and enterprise assessments of risk and opportunity. Cross-Functional Collaboration, Coaching & Culture Building Work collaboratively with teams across Sky, Group Architecture, Data, Cyber, Comcast, and external partners; train and coach power users and citizen developers; communicate AI concepts clearly to technical audiences; and foster a collaborative, supportive, and knowledge-sharing culture. Innovation, Leadership & Continuous Learning Stay ahead of AI engineering trends and emerging tools, demonstrate curiosity and initiative, balance multiple priorities with strong organisational skills, contribute ideas that drive innovation and efficiency, proactively ensure Sky leads in effective and responsible AI use, and seek ongoing professional development through mentoring, training, and hands-on experience. What you'll bring Strong software development experience in Python and/or Java, with an understanding of the Agile software development lifecycle. Proven Automation experience using Public Cloud or Microsoft Technologies Demonstrated ability to design, develop, and deliver AI-driven solutions in a large enterprise environment, following enterprise standards. Proven record of delivering AI solutions from concept to production with measurable business impact. Strong analytical and problem-solving skills, with a keen eye for performance, efficiency, and maintainability. Passionate about AI technologies, automation, and innovation at speed and scale. Experience in refactoring, optimisation, and writing clean, performant code. Hands-on experience with enterprise and cloud environments, ideally Azure ML, GCP Vertex AI, or Azure Foundry. Familiarity with AI architectures, LLMs, vector databases, and agent frameworks (e.g., Google ADK, LangChain/LangGraph) is a significant advantage. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Job Description: Functional/Automation Test Engineer Location: Cheltenham/ Gloucester - will be on site 5 days per week. At DXC Technology, delivering excellence for our customers and colleagues is more than just a motto, it's something we strive towards constantly through our work. Every day we deliver mission critical services in a secure environment whilst promoting our people first agenda, a real sense of community and a healthy work-life balance. Our consistently positive customer feedback and continuous growth helps us cement our place as one of the world's leading IT solutions enterprises, helping us deliver services and solutions in both challenging and exciting situations. We believe that hiring a diverse team is crucial to our success and our recruiting decisions are based on your skills and experience as an individual. We actively encourage consistent growth on our journey towards a culture of inclusion and recognise that the people we employ are vital to providing a great customer experience. As such, we have a variety of training, support, and tools available to aid in your continual personal and professional development. Our ongoing goal is to drive innovation and modernise operations across the board, which includes furthering the skills of our colleagues. At DXC, building a better you, builds a better us. At DXC, one of our platinum accounts has an opening for a Test Engineer. The successful candidate will work within multiple teams and will be highly organised, with excellent problem-solving skills and attention to detail. Your role will include executing functional tests and authoring significant revisions to test materials as necessary. Role responsibilities: Contribute to test planning, scheduling, and managing test resources; lead formal test execution phases on larger projects Define test cases and create integration and system test scripts and configuration test questionnaires from functional requirement documents Maintain defect reports and update reports following regression testing Adhere to and advocate use of established quality methodology and elevate issues as appropriate Understand the functional design of software products/suites being tested and their underlying technologies to facilitate authoring testware, diagnosing system issues, and ensuring that tests accurately address required business functionality Apply basic industry and functional area knowledge related to the software product being tested and applicable regulatory statutes to determine whether system components meet business specifications Develop specified testing deliverables over the lifecycle of the project What you will bring to the team: Excellent organisation and time management skills Effective analytical, planning, and problem solving skills Good personal computer and business solutions software skills Great communication and presentation skills with both peers and Client Ability to write lengthy procedural, step-based narrative test materials including the necessary testbed set up steps Ability to work independently and collaboratively Desirable Skills and Technologies Knowledge of varied OE; Windows, Redhat, Linux Exposure to Cloud and virtualisation technologies; AWS, Azure, VMWare Experience working with configuration management, defect tracking, query tools, software productivity tools, and templates used to create test scripts, trace matrices, etc. Experience working with software product testing and applicable regulatory statutes Experience in Oracle, SQL/PL_SQL, MongoDB, or other relevant programs What we will do for you: Competitive compensation Pension scheme DXC Select - Our comprehensive benefits package (includes private health/medical insurance, childcare vouchers, gym membership and more) Perks at Work (discounts on technology, groceries, travel and more) DXC incentives (recognition tools, employee lunches, regular social events etc) At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
Jan 28, 2026
Full time
Job Description: Functional/Automation Test Engineer Location: Cheltenham/ Gloucester - will be on site 5 days per week. At DXC Technology, delivering excellence for our customers and colleagues is more than just a motto, it's something we strive towards constantly through our work. Every day we deliver mission critical services in a secure environment whilst promoting our people first agenda, a real sense of community and a healthy work-life balance. Our consistently positive customer feedback and continuous growth helps us cement our place as one of the world's leading IT solutions enterprises, helping us deliver services and solutions in both challenging and exciting situations. We believe that hiring a diverse team is crucial to our success and our recruiting decisions are based on your skills and experience as an individual. We actively encourage consistent growth on our journey towards a culture of inclusion and recognise that the people we employ are vital to providing a great customer experience. As such, we have a variety of training, support, and tools available to aid in your continual personal and professional development. Our ongoing goal is to drive innovation and modernise operations across the board, which includes furthering the skills of our colleagues. At DXC, building a better you, builds a better us. At DXC, one of our platinum accounts has an opening for a Test Engineer. The successful candidate will work within multiple teams and will be highly organised, with excellent problem-solving skills and attention to detail. Your role will include executing functional tests and authoring significant revisions to test materials as necessary. Role responsibilities: Contribute to test planning, scheduling, and managing test resources; lead formal test execution phases on larger projects Define test cases and create integration and system test scripts and configuration test questionnaires from functional requirement documents Maintain defect reports and update reports following regression testing Adhere to and advocate use of established quality methodology and elevate issues as appropriate Understand the functional design of software products/suites being tested and their underlying technologies to facilitate authoring testware, diagnosing system issues, and ensuring that tests accurately address required business functionality Apply basic industry and functional area knowledge related to the software product being tested and applicable regulatory statutes to determine whether system components meet business specifications Develop specified testing deliverables over the lifecycle of the project What you will bring to the team: Excellent organisation and time management skills Effective analytical, planning, and problem solving skills Good personal computer and business solutions software skills Great communication and presentation skills with both peers and Client Ability to write lengthy procedural, step-based narrative test materials including the necessary testbed set up steps Ability to work independently and collaboratively Desirable Skills and Technologies Knowledge of varied OE; Windows, Redhat, Linux Exposure to Cloud and virtualisation technologies; AWS, Azure, VMWare Experience working with configuration management, defect tracking, query tools, software productivity tools, and templates used to create test scripts, trace matrices, etc. Experience working with software product testing and applicable regulatory statutes Experience in Oracle, SQL/PL_SQL, MongoDB, or other relevant programs What we will do for you: Competitive compensation Pension scheme DXC Select - Our comprehensive benefits package (includes private health/medical insurance, childcare vouchers, gym membership and more) Perks at Work (discounts on technology, groceries, travel and more) DXC incentives (recognition tools, employee lunches, regular social events etc) At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Manager / Senior Manager - Data ManagementAt 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 clients' challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.Join our Data & AI Strategy team and be part of the future of AI consulting, where we're not just advising clients, we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work. We're looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLEThis role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next. We DESIGN next-generation data, analytics and AI platforms - You will lead the architecture and development of scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation - You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance. We INNOVATE with AI-driven data solutions - You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value. We AUTOMATE for speed and reliability - You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation). We ADVISE on enterprise data strategy - You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption. We DELIVER impact through design excellence - You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability. We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc.You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next-generation data platforms that power business transformation. We build end-to-end capabilities that align seamlessly with enterprise strategic objectives, enabling organisations to unlock the full potential of their data. We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success. YOUR PROFILEAs a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change. Below are some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team which has diverse backgrounds, perspectives and strengths.Key Skills Growth mindset and curiosity - You're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Strategic thinking - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - You're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.Technology & Consulting Experience Strategic Leadership in Data, Analytics & AI Architecture: Proven experience shaping end-to-end solutions that enable AI/ML workloads and drive optimisation through Automation. Strong Industry Expertise: 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms: 6+ years designing, implementing and managing cloud-based architectures such as AWS, Azure or GCP, and hands-on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth: At least 3 intermediate-level cloud certifications and expertise in cloud-native AI data architectures. Infrastructure & Automation: Proficiency in Infrastructure-as-Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI Use Cases. Modern Data Patterns: Solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation: Experience migrating legacy systems to cloud-native data stores. Consulting & Commercial Acumen - Strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships. SC Cleared / EligibleDesirable Experience Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Knowledge of cloud cost management tools and best practices to optimise spend and maximise value Proven track record of applying Agile methodologies and leading cross-functional teams to deliver complex data and AI solutions. A clear pathway for professional certification (e.g., DAMA) and ongoing learning via our Data Academy and AI upskilling
Jan 27, 2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Manager / Senior Manager - Data ManagementAt 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 clients' challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.Join our Data & AI Strategy team and be part of the future of AI consulting, where we're not just advising clients, we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work. We're looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLEThis role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next. We DESIGN next-generation data, analytics and AI platforms - You will lead the architecture and development of scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation - You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance. We INNOVATE with AI-driven data solutions - You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value. We AUTOMATE for speed and reliability - You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation). We ADVISE on enterprise data strategy - You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption. We DELIVER impact through design excellence - You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability. We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc.You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next-generation data platforms that power business transformation. We build end-to-end capabilities that align seamlessly with enterprise strategic objectives, enabling organisations to unlock the full potential of their data. We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success. YOUR PROFILEAs a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change. Below are some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team which has diverse backgrounds, perspectives and strengths.Key Skills Growth mindset and curiosity - You're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Strategic thinking - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - You're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.Technology & Consulting Experience Strategic Leadership in Data, Analytics & AI Architecture: Proven experience shaping end-to-end solutions that enable AI/ML workloads and drive optimisation through Automation. Strong Industry Expertise: 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms: 6+ years designing, implementing and managing cloud-based architectures such as AWS, Azure or GCP, and hands-on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth: At least 3 intermediate-level cloud certifications and expertise in cloud-native AI data architectures. Infrastructure & Automation: Proficiency in Infrastructure-as-Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI Use Cases. Modern Data Patterns: Solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation: Experience migrating legacy systems to cloud-native data stores. Consulting & Commercial Acumen - Strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships. SC Cleared / EligibleDesirable Experience Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Knowledge of cloud cost management tools and best practices to optimise spend and maximise value Proven track record of applying Agile methodologies and leading cross-functional teams to deliver complex data and AI solutions. A clear pathway for professional certification (e.g., DAMA) and ongoing learning via our Data Academy and AI upskilling
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Senior Consultant - Data & AI ArchitectureAt 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.Join our Data & AI Strategy team and be part of the future of AI consulting, where we're not just advising clients, we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work.We're looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLEThis role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next.We DESIGN next-generation data, analytics and AI platforms - You will design and implement scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).We ENABLE hybrid cloud transformation - You will design and implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We OPTIMISE and SECURE cloud environments - You will evaluate cloud environments and provide recommendations for performance optimisation, security, cost reduction and resource efficiency. You will ensure compliance with industry standards (GDPR, HIPAA, SOC2) and implement best practices for security, IAM, encryption and data protection.We INNOVATE with data-driven solutions - You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value.We AUTOMATE for speed and reliability - You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation).We DEFINE enterprise data strategy - You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption.We DELIVER impact through design excellence - You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability.We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc.We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success. YOUR PROFILEAs a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change.Below some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team which has diverse backgrounds, perspectives and strengths.Key Skills Growth mindset and curiosity - You're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Problem Solving - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - You're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.Technology & Delivery Experience Education: Bachelor's or Master's degree in Computer Science, Information Technology or a related field. Industry Expertise: 5+ years' experience designing and managing cloud architectures (AWS, GCP and/or Azure), including hybrid and multi-cloud solutions. Cloud Experience: Strong expertise in cloud-native services (containers, Kubernetes, serverless, microservices) combined with deep knowledge of networking, security, identity management, and compliance best practices. Infrastructure & Automation: Hands-on experience with Infrastructure-as-Code (Terraform, ARM Templates) and CI/CD automation (e.g. Google Cloud Deployment Manager, Azure CICD). Consulting background with proven stakeholder management, project scoping and budgeting experienceDesirable Experience Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Cloud Certifications: in GCP (e.g., Google Professional Cloud Architect) and Azure (e.g., Microsoft Certified: Azure Solutions Architect Expert). Familiarity with cloud cost management tools and best practices to optimise spend and maximise value Experience supporting and participating in the commercial cycle, including defining project scope and agreeing on budgets. Experience with Agile methodologies and cross-functional team collaboration. SC Cleared / EligibleWe're committed to using technology as a force for good. That means reducing our own carbon footprint and expanding access to the digital world for everyone. This isn't just a statement; it's a core part of who we are. In fact, Capgemini has been recognised by the Ethisphere Institute as one of the World's Most Ethical Companies for 10 consecutive years. When you join us, you become part of a team that does the right thing.Your base location will
Jan 27, 2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Senior Consultant - Data & AI ArchitectureAt 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.Join our Data & AI Strategy team and be part of the future of AI consulting, where we're not just advising clients, we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work.We're looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLEThis role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next.We DESIGN next-generation data, analytics and AI platforms - You will design and implement scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).We ENABLE hybrid cloud transformation - You will design and implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We OPTIMISE and SECURE cloud environments - You will evaluate cloud environments and provide recommendations for performance optimisation, security, cost reduction and resource efficiency. You will ensure compliance with industry standards (GDPR, HIPAA, SOC2) and implement best practices for security, IAM, encryption and data protection.We INNOVATE with data-driven solutions - You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value.We AUTOMATE for speed and reliability - You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation).We DEFINE enterprise data strategy - You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption.We DELIVER impact through design excellence - You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability.We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc.We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success. YOUR PROFILEAs a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change.Below some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team which has diverse backgrounds, perspectives and strengths.Key Skills Growth mindset and curiosity - You're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Problem Solving - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - You're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.Technology & Delivery Experience Education: Bachelor's or Master's degree in Computer Science, Information Technology or a related field. Industry Expertise: 5+ years' experience designing and managing cloud architectures (AWS, GCP and/or Azure), including hybrid and multi-cloud solutions. Cloud Experience: Strong expertise in cloud-native services (containers, Kubernetes, serverless, microservices) combined with deep knowledge of networking, security, identity management, and compliance best practices. Infrastructure & Automation: Hands-on experience with Infrastructure-as-Code (Terraform, ARM Templates) and CI/CD automation (e.g. Google Cloud Deployment Manager, Azure CICD). Consulting background with proven stakeholder management, project scoping and budgeting experienceDesirable Experience Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Cloud Certifications: in GCP (e.g., Google Professional Cloud Architect) and Azure (e.g., Microsoft Certified: Azure Solutions Architect Expert). Familiarity with cloud cost management tools and best practices to optimise spend and maximise value Experience supporting and participating in the commercial cycle, including defining project scope and agreeing on budgets. Experience with Agile methodologies and cross-functional team collaboration. SC Cleared / EligibleWe're committed to using technology as a force for good. That means reducing our own carbon footprint and expanding access to the digital world for everyone. This isn't just a statement; it's a core part of who we are. In fact, Capgemini has been recognised by the Ethisphere Institute as one of the World's Most Ethical Companies for 10 consecutive years. When you join us, you become part of a team that does the right thing.Your base location will
A global lifestyle brand is hiring a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of machine learning solutions for CRM personalisation Build and optimise recommendation engines using neural networks and deep learning Collaborate with CRM and regional marketing teams to align with campaign goals and segmentation strategies Partner with engineering and data teams to ensure scalable solutions Monitor and improve model performance using data insights and feedback Requirements Proven experience in machine learning, particularly in recommendation systems and deep learning architectures Strong understanding of two-tower neural networks, embedding techniques, and ranking models Proficiency in Python and ML libraries (e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku Experience with ML Ops, including deployment, monitoring, and retraining pipelines Ability to work cross-functionally with marketing, CRM, and engineering teams Excellent communication and stakeholder management skills Experience in a global or multi-regional context is a plus Details Salary: £65k-75k per annum Duration: Permanent Location: Hybrid, with 2-3 days/week in Central London office Start date: ASAP
Jan 27, 2026
Full time
A global lifestyle brand is hiring a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of machine learning solutions for CRM personalisation Build and optimise recommendation engines using neural networks and deep learning Collaborate with CRM and regional marketing teams to align with campaign goals and segmentation strategies Partner with engineering and data teams to ensure scalable solutions Monitor and improve model performance using data insights and feedback Requirements Proven experience in machine learning, particularly in recommendation systems and deep learning architectures Strong understanding of two-tower neural networks, embedding techniques, and ranking models Proficiency in Python and ML libraries (e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku Experience with ML Ops, including deployment, monitoring, and retraining pipelines Ability to work cross-functionally with marketing, CRM, and engineering teams Excellent communication and stakeholder management skills Experience in a global or multi-regional context is a plus Details Salary: £65k-75k per annum Duration: Permanent Location: Hybrid, with 2-3 days/week in Central London office Start date: ASAP
Azure Cloud Engineer - 1 Year Fixed Term Location: Carlisle (On-site 1 day per month) Working Model: Hybrid (Predominantly remote) Employment Type: 1 year FTC (Fixed Term) Overview A leading organisation is seeking an experienced Azure Cloud Engineer to join its growing technology function click apply for full job details
Jan 27, 2026
Full time
Azure Cloud Engineer - 1 Year Fixed Term Location: Carlisle (On-site 1 day per month) Working Model: Hybrid (Predominantly remote) Employment Type: 1 year FTC (Fixed Term) Overview A leading organisation is seeking an experienced Azure Cloud Engineer to join its growing technology function click apply for full job details
The Association of Technology, Management and Applied Engineering
Hackney, London
Job description The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next generation data experience for GSK's scientists, engineers, and decision makers, increasing productivity and reducing time spent on "data mechanics" Providing best in class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end user facing data assets and environments is designed to maximize our impact on R&D. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry leading cloud based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human agent interaction layer, moving beyond traditional UIs to create conversational and goal driven interfaces that allow scientists to delegate multi step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model In The Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine tuning foundational models, vector databases, and multi agent system architectures. Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Why you? Qualifications & Skills: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0 to 1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands on experience with technologies core to AI systems such as vector databases, MLOps, retrieval augmented generation, and model fine tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi step actions and reason about their environment. Deep technical fluency with cloud native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM based applications. Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands on software engineering or data science experience in a GenAI focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer based models and the strategic product trade offs between using proprietary models (e.g., GPT 4, Claude), open source models (e.g., Llama, Mistral), and fine tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data. Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short term, long term memory), and ensuring model coherence over extended multi turn interactions. Hands on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Friday 6th February 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion . click apply for full job details
Jan 27, 2026
Full time
Job description The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next generation data experience for GSK's scientists, engineers, and decision makers, increasing productivity and reducing time spent on "data mechanics" Providing best in class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end user facing data assets and environments is designed to maximize our impact on R&D. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry leading cloud based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human agent interaction layer, moving beyond traditional UIs to create conversational and goal driven interfaces that allow scientists to delegate multi step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model In The Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine tuning foundational models, vector databases, and multi agent system architectures. Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Why you? Qualifications & Skills: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0 to 1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands on experience with technologies core to AI systems such as vector databases, MLOps, retrieval augmented generation, and model fine tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi step actions and reason about their environment. Deep technical fluency with cloud native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM based applications. Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands on software engineering or data science experience in a GenAI focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer based models and the strategic product trade offs between using proprietary models (e.g., GPT 4, Claude), open source models (e.g., Llama, Mistral), and fine tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data. Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short term, long term memory), and ensuring model coherence over extended multi turn interactions. Hands on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Friday 6th February 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion . click apply for full job details
At T V S D we are passionate about technology. Innovations impact our daily lives in countless ways, and we are dedicated to being a part of that progress. We test, we audit, we inspect, we advise. We never stop challenging ourselves for the safety of society and its people. We breathe technology, we strive for professional excellence, and we leave a mark. We take the future into our hands. We are T V S D. Job Description: The Integration & Delivery Manager plays a pivotal role in ensuring seamless customer onboarding, integration, and delivery of digital products and services. This role bridges customers, development, and leadership teams by translating business requirements into structured delivery plans, coordinating cross-functional execution, and ensuring customers gain measurable value from implemented solutions. The Integration & Delivery Manager also contributes to customer success enablement by coordinating documentation, user materials, and training programs that support adoption and satisfaction. This is not a hands-on technical role, but it requires a strong understanding of system design, data integrations and API principles to guide both internal teams and customers effectively. Key Responsibilities: Lead and manage customer onboarding, integration, and delivery projects from initiation to completion. Design and plan data integrations between internal and customer systems, ensuring interoperability and alignment with architecture standards. Understand and review system design principles, API specifications, and data models to guide integration planning. Translate customer requirements into structured technical and delivery plans, ensuring clear communication with all stakeholders. Coordinate across teams to ensure timely, high-quality delivery aligned with customer and business objectives. Oversee the preparation of user documentation, training materials, and customer enablement resources. Support customers post-implementation to drive adoption, satisfaction, and long-term success. Identify process improvements and contribute to standardizing delivery and integration practices. Report progress, risks, and opportunities to management and provide insights for strategic planning. Essential Requirements: A degree, or equivalent qualification/experience in Business, Information Technology, Project Management or a related field. Experience in project delivery, customer integrations, or onboarding in a digital or SaaS environment. Proven experience managing end-to-end delivery projects (planning, execution, handover) with multiple stakeholders. Strong understanding of system design, APIs, data exchange concepts, and the ability to interpret integration specs and data flows. Demonstrable customer-facing skills: requirement gathering, workshop facilitation, documentation of business and technical needs. Excellent communication skills (written and verbal), able to liaise effectively with non-technical and technical stakeholders. Strong organisational and coordination skills: managing multiple projects, risks, dependencies, and deliverables. Ability to work cross-functionally (development, product, operations, customer teams) and manage delivery through to go-live and adoption. Customer-success mindset: ensuring onboarding, training, and adoption reach successful outcomes and customer satisfaction. Proven ability to produce user documentation, training materials, and deliver user-enablement activities. Ability to travel if required for key customer engagements or workshops. Strong analytical skills and comfort working with dashboards, usage metrics, and customer adoption KPIs. Experience defining, implementing, and improving delivery frameworks, templates, and methodologies. Multinational/global rollout experience (managing integrations across regions, cultures, and time-zones). Desirable Skills: Project Management certification (e.g., PMP, PRINCE2, Agile/Scrum) or equivalent experience. Prior exposure to SaaS products, digital platforms, and recurring service models. Experience with SaaS onboarding, customer training, technical documentation, and training delivery. Familiarity with cloud environments (e.g., Azure, Power Platform) or enterprise integration environments. Experience in customer success or account management roles (identifying expansion opportunities, adoption metrics). At T V S D, we have employees from more than 100 different countries collaborating together. People of different backgrounds, skills, and pursuing different life goals. Our strength comes from these countless and varied perspectives. We are committed to be an inclusive and diverse workplace by welcoming people of all backgrounds. We want Diversity & Inclusion (D&I) to be a foundation of our company and create an environment where all our employees can trust they will be treated with respect, regardless of gender, nationality, ethnic background, faith, beliefs, disabilities, age, sexual orientation, or identity. As such, our employees are expected to behave at all times in a manner consistent with T V S D Code of Ethics and Company values. We firmly believe embedding D&I in the heart of what we do will inherently contribute to the success of T V S D. Click here to find out more about Diversity at T V S D.
Jan 27, 2026
Full time
At T V S D we are passionate about technology. Innovations impact our daily lives in countless ways, and we are dedicated to being a part of that progress. We test, we audit, we inspect, we advise. We never stop challenging ourselves for the safety of society and its people. We breathe technology, we strive for professional excellence, and we leave a mark. We take the future into our hands. We are T V S D. Job Description: The Integration & Delivery Manager plays a pivotal role in ensuring seamless customer onboarding, integration, and delivery of digital products and services. This role bridges customers, development, and leadership teams by translating business requirements into structured delivery plans, coordinating cross-functional execution, and ensuring customers gain measurable value from implemented solutions. The Integration & Delivery Manager also contributes to customer success enablement by coordinating documentation, user materials, and training programs that support adoption and satisfaction. This is not a hands-on technical role, but it requires a strong understanding of system design, data integrations and API principles to guide both internal teams and customers effectively. Key Responsibilities: Lead and manage customer onboarding, integration, and delivery projects from initiation to completion. Design and plan data integrations between internal and customer systems, ensuring interoperability and alignment with architecture standards. Understand and review system design principles, API specifications, and data models to guide integration planning. Translate customer requirements into structured technical and delivery plans, ensuring clear communication with all stakeholders. Coordinate across teams to ensure timely, high-quality delivery aligned with customer and business objectives. Oversee the preparation of user documentation, training materials, and customer enablement resources. Support customers post-implementation to drive adoption, satisfaction, and long-term success. Identify process improvements and contribute to standardizing delivery and integration practices. Report progress, risks, and opportunities to management and provide insights for strategic planning. Essential Requirements: A degree, or equivalent qualification/experience in Business, Information Technology, Project Management or a related field. Experience in project delivery, customer integrations, or onboarding in a digital or SaaS environment. Proven experience managing end-to-end delivery projects (planning, execution, handover) with multiple stakeholders. Strong understanding of system design, APIs, data exchange concepts, and the ability to interpret integration specs and data flows. Demonstrable customer-facing skills: requirement gathering, workshop facilitation, documentation of business and technical needs. Excellent communication skills (written and verbal), able to liaise effectively with non-technical and technical stakeholders. Strong organisational and coordination skills: managing multiple projects, risks, dependencies, and deliverables. Ability to work cross-functionally (development, product, operations, customer teams) and manage delivery through to go-live and adoption. Customer-success mindset: ensuring onboarding, training, and adoption reach successful outcomes and customer satisfaction. Proven ability to produce user documentation, training materials, and deliver user-enablement activities. Ability to travel if required for key customer engagements or workshops. Strong analytical skills and comfort working with dashboards, usage metrics, and customer adoption KPIs. Experience defining, implementing, and improving delivery frameworks, templates, and methodologies. Multinational/global rollout experience (managing integrations across regions, cultures, and time-zones). Desirable Skills: Project Management certification (e.g., PMP, PRINCE2, Agile/Scrum) or equivalent experience. Prior exposure to SaaS products, digital platforms, and recurring service models. Experience with SaaS onboarding, customer training, technical documentation, and training delivery. Familiarity with cloud environments (e.g., Azure, Power Platform) or enterprise integration environments. Experience in customer success or account management roles (identifying expansion opportunities, adoption metrics). At T V S D, we have employees from more than 100 different countries collaborating together. People of different backgrounds, skills, and pursuing different life goals. Our strength comes from these countless and varied perspectives. We are committed to be an inclusive and diverse workplace by welcoming people of all backgrounds. We want Diversity & Inclusion (D&I) to be a foundation of our company and create an environment where all our employees can trust they will be treated with respect, regardless of gender, nationality, ethnic background, faith, beliefs, disabilities, age, sexual orientation, or identity. As such, our employees are expected to behave at all times in a manner consistent with T V S D Code of Ethics and Company values. We firmly believe embedding D&I in the heart of what we do will inherently contribute to the success of T V S D. Click here to find out more about Diversity at T V S D.
We seek an experienced Associate Director, Gen AI Architect, specialising in the Energy, Resources & Industrials (ER&I) sector, to join our AI & Data team. This role is pivotal in driving the adoption and implementation of Gen AI solutions within ER&I. Generative AI is transforming ER&I, offering unprecedented opportunities for optimization, enhanced decision-making, and new revenue streams. A robust Gen AI strategy is crucial for realizing this potential and gaining a competitive advantage. Our team delivers cutting-edge Gen AI solutions enabling ER&I clients to thrive. ER&I organizations are adopting innovative approaches to model building, customization, and data management, including transfer learning and robust data governance. A well-designed Gen AI platform is at the heart of our clients' GenAI CoE strategy. The Associate Director, Gen AI Architect role is crucial to shaping and executing this vision. Our AI & Data team specializes in implementing Gen AI solutions that drive tangible value for ER&I clients by: Identifying Gen AI opportunities aligned with client strategy. Gathering detailed requirements. Designing scalable Gen AI platforms & architectures. Join Deloitte for exceptional training, growth, and a dynamic team environment. We encourage flexible working arrangements. If this opportunity interests you, please discuss it with us. Responsibilities Designing Gen AI Architectures: Define end-to-end Gen AI architectures aligned with client business objectives and technology strategies. Advising on Gen AI Applications: Guide ER&I clients on leveraging Gen AI to address their challenges and objectives. Establishing Common AI Language: Foster executive-level discussions to establish a common understanding of AI/Gen AI terminology. Creating Gen AI Roadmaps: Develop strategic roadmaps for Gen AI capabilities to generate value from data and AI. Assessing Systems & Proposing Solutions: Evaluate existing systems and recommend target Gen AI architectures using AI technologies and cloud platforms. Leading & Mentoring Teams: Lead diverse global teams, fostering an inclusive and valued team culture. Managing Stakeholders & Change: Support change management processes to ensure successful Gen AI adoption. Developing Market Offerings: Assist in developing market-leading Gen AI solutions and proposals. Contributing to AI Community: Contribute to the development and growth of our AI and Data Architecture community. Driving Project Delivery: Drive client project delivery by owning workstreams and ensuring successful engagements. Developing Team Members: Develop junior team members through on-the-job training. Qualifications Consulting or ER&I Experience: Client-facing project experience in consulting or direct ER&I industry roles. Proven contribution to proposals, presentations, pre-sales, and opportunity development. ER&I Industry Domain Knowledge: In-depth expertise in ER&I functional areas (Engineering, Operations, Sustainability, Regulatory Compliance, etc.). Deep GenAI Architecture Expertise: Extensive technical architecture experience in GenAI, AI, or Enterprise Architecture, ideally within consulting or industry. Strong Problem-Solving & Analytical Skills: Excellent problem-solving and analytical skills applied to complex GenAI challenges. Executive Stakeholder Management: Strong executive-level stakeholder management and communication skills; ability to build robust client relationships. Leadership & Team Development: Proven leadership in building and developing high-performing, diverse GenAI architecture teams, nurturing junior talent. Designing & Implementing Complex GenAI Solutions: Excellent understanding and experience designing and implementing complex GenAI solutions, including several of the following areas: GenAI model integration & deployment. Prompt engineering & model customization. AI/GenAI governance & ethics (bias detection, explainability). GenAI Platform & Infrastructure Architecture (Cloud, Lakehouse). GenAI ModelOps & Performance Monitoring. AI-driven business intelligence & reporting. Observability & FinOps for AI/GenAI. Cloud Infrastructure, Networking, & Security for AI. Aligning GenAI Architectures Across Organizations: Experience aligning GenAI architecture blueprints across business units and geographies with peers and senior architects. Presenting GenAI Architectural Designs: Experience presenting GenAI architectural designs to diverse stakeholders, including technical authorities and architecture boards. Architectural Evaluation of GenAI Systems: Experience evaluating, designing, and analysing enterprise-wide systems incorporating GenAI, both on-premise and cloud-based. Defining Business Outcomes for GenAI Programs: Experience engaging with business and IT stakeholders to document business outcomes and objectives for large-scale GenAI solutions and programs. Technology & Platform Recommendations for GenAI: Ability to identify requirements, analyse technology alternatives, and recommend build vs. buy for GenAI platforms and solutions. Facilitating GenAI Discovery & Design Workshops: Proven ability to conduct effective discovery and design workshops focused on GenAI solutions. Rapid Learning & Application of GenAI: Demonstrates ability to quickly learn and apply new GenAI techniques and knowledge to achieve business outcomes. Leading Resilient GenAI Project Teams: Experience leading multi-disciplinary teams in fast-paced GenAI projects; demonstrates personal resilience. Go-to-Market & Proposal Development for GenAI: Ability to lead go-to-market activities, including RFI/RFP responses and developing high-quality GenAI-focused proposals. GenAI Design Leadership: Led technical design authorities for strategic GenAI adoption. Strategic GenAI Platform Selection: Strategic GenAI platform/tool evaluation & selection skills. Leading GenAI Trends: Up-to-date on emerging GenAI technologies & standards. AI Regulatory Landscape (ER&I): Understands AI regulations; ensures project compliance. Cloud & Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures. GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge with ethical AI governance focus. ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business value. Enterprise Software Integration: Designed GenAI integrations with SaaS/ERP for business process automation. GenAI Impact Reporting: Designed advanced reporting for measuring GenAI impact and actionable insights. Strategic Project Sizing: Proven strategic project sizing/shaping for large Gen AI programs in ER&I. Global Team Leadership: Managed global/offshore teams effectively for Gen AI projects. Agile Delivery & Client Engagement: Agile project management expertise for rapid GenAI solution delivery; led client workshops.
Jan 26, 2026
Full time
We seek an experienced Associate Director, Gen AI Architect, specialising in the Energy, Resources & Industrials (ER&I) sector, to join our AI & Data team. This role is pivotal in driving the adoption and implementation of Gen AI solutions within ER&I. Generative AI is transforming ER&I, offering unprecedented opportunities for optimization, enhanced decision-making, and new revenue streams. A robust Gen AI strategy is crucial for realizing this potential and gaining a competitive advantage. Our team delivers cutting-edge Gen AI solutions enabling ER&I clients to thrive. ER&I organizations are adopting innovative approaches to model building, customization, and data management, including transfer learning and robust data governance. A well-designed Gen AI platform is at the heart of our clients' GenAI CoE strategy. The Associate Director, Gen AI Architect role is crucial to shaping and executing this vision. Our AI & Data team specializes in implementing Gen AI solutions that drive tangible value for ER&I clients by: Identifying Gen AI opportunities aligned with client strategy. Gathering detailed requirements. Designing scalable Gen AI platforms & architectures. Join Deloitte for exceptional training, growth, and a dynamic team environment. We encourage flexible working arrangements. If this opportunity interests you, please discuss it with us. Responsibilities Designing Gen AI Architectures: Define end-to-end Gen AI architectures aligned with client business objectives and technology strategies. Advising on Gen AI Applications: Guide ER&I clients on leveraging Gen AI to address their challenges and objectives. Establishing Common AI Language: Foster executive-level discussions to establish a common understanding of AI/Gen AI terminology. Creating Gen AI Roadmaps: Develop strategic roadmaps for Gen AI capabilities to generate value from data and AI. Assessing Systems & Proposing Solutions: Evaluate existing systems and recommend target Gen AI architectures using AI technologies and cloud platforms. Leading & Mentoring Teams: Lead diverse global teams, fostering an inclusive and valued team culture. Managing Stakeholders & Change: Support change management processes to ensure successful Gen AI adoption. Developing Market Offerings: Assist in developing market-leading Gen AI solutions and proposals. Contributing to AI Community: Contribute to the development and growth of our AI and Data Architecture community. Driving Project Delivery: Drive client project delivery by owning workstreams and ensuring successful engagements. Developing Team Members: Develop junior team members through on-the-job training. Qualifications Consulting or ER&I Experience: Client-facing project experience in consulting or direct ER&I industry roles. Proven contribution to proposals, presentations, pre-sales, and opportunity development. ER&I Industry Domain Knowledge: In-depth expertise in ER&I functional areas (Engineering, Operations, Sustainability, Regulatory Compliance, etc.). Deep GenAI Architecture Expertise: Extensive technical architecture experience in GenAI, AI, or Enterprise Architecture, ideally within consulting or industry. Strong Problem-Solving & Analytical Skills: Excellent problem-solving and analytical skills applied to complex GenAI challenges. Executive Stakeholder Management: Strong executive-level stakeholder management and communication skills; ability to build robust client relationships. Leadership & Team Development: Proven leadership in building and developing high-performing, diverse GenAI architecture teams, nurturing junior talent. Designing & Implementing Complex GenAI Solutions: Excellent understanding and experience designing and implementing complex GenAI solutions, including several of the following areas: GenAI model integration & deployment. Prompt engineering & model customization. AI/GenAI governance & ethics (bias detection, explainability). GenAI Platform & Infrastructure Architecture (Cloud, Lakehouse). GenAI ModelOps & Performance Monitoring. AI-driven business intelligence & reporting. Observability & FinOps for AI/GenAI. Cloud Infrastructure, Networking, & Security for AI. Aligning GenAI Architectures Across Organizations: Experience aligning GenAI architecture blueprints across business units and geographies with peers and senior architects. Presenting GenAI Architectural Designs: Experience presenting GenAI architectural designs to diverse stakeholders, including technical authorities and architecture boards. Architectural Evaluation of GenAI Systems: Experience evaluating, designing, and analysing enterprise-wide systems incorporating GenAI, both on-premise and cloud-based. Defining Business Outcomes for GenAI Programs: Experience engaging with business and IT stakeholders to document business outcomes and objectives for large-scale GenAI solutions and programs. Technology & Platform Recommendations for GenAI: Ability to identify requirements, analyse technology alternatives, and recommend build vs. buy for GenAI platforms and solutions. Facilitating GenAI Discovery & Design Workshops: Proven ability to conduct effective discovery and design workshops focused on GenAI solutions. Rapid Learning & Application of GenAI: Demonstrates ability to quickly learn and apply new GenAI techniques and knowledge to achieve business outcomes. Leading Resilient GenAI Project Teams: Experience leading multi-disciplinary teams in fast-paced GenAI projects; demonstrates personal resilience. Go-to-Market & Proposal Development for GenAI: Ability to lead go-to-market activities, including RFI/RFP responses and developing high-quality GenAI-focused proposals. GenAI Design Leadership: Led technical design authorities for strategic GenAI adoption. Strategic GenAI Platform Selection: Strategic GenAI platform/tool evaluation & selection skills. Leading GenAI Trends: Up-to-date on emerging GenAI technologies & standards. AI Regulatory Landscape (ER&I): Understands AI regulations; ensures project compliance. Cloud & Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures. GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge with ethical AI governance focus. ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business value. Enterprise Software Integration: Designed GenAI integrations with SaaS/ERP for business process automation. GenAI Impact Reporting: Designed advanced reporting for measuring GenAI impact and actionable insights. Strategic Project Sizing: Proven strategic project sizing/shaping for large Gen AI programs in ER&I. Global Team Leadership: Managed global/offshore teams effectively for Gen AI projects. Agile Delivery & Client Engagement: Agile project management expertise for rapid GenAI solution delivery; led client workshops.
We seek an experienced Associate Director, Gen AI Architect, specialising in the Energy, Resources & Industrials (ER&I) sector, to join our AI & Data team. This role is pivotal in driving the adoption and implementation of Gen AI solutions within ER&I. Generative AI is transforming ER&I, offering unprecedented opportunities for optimization, enhanced decision-making, and new revenue streams. A robust Gen AI strategy is crucial for realizing this potential and gaining a competitive advantage. Our team delivers cutting-edge Gen AI solutions enabling ER&I clients to thrive. ER&I organizations are adopting innovative approaches to model building, customization, and data management, including transfer learning and robust data governance. A well-designed Gen AI platform is at the heart of our clients' GenAI CoE strategy. The Associate Director, Gen AI Architect role is crucial to shaping and executing this vision. Our AI & Data team specializes in implementing Gen AI solutions that drive tangible value for ER&I clients by: Identifying Gen AI opportunities aligned with client strategy. Gathering detailed requirements. Designing scalable Gen AI platforms & architectures. Join Deloitte for exceptional training, growth, and a dynamic team environment. We encourage flexible working arrangements. If this opportunity interests you, please discuss it with us. Responsibilities Designing Gen AI Architectures: Define end-to-end Gen AI architectures aligned with client business objectives and technology strategies. Advising on Gen AI Applications: Guide ER&I clients on leveraging Gen AI to address their challenges and objectives. Establishing Common AI Language: Foster executive-level discussions to establish a common understanding of AI/Gen AI terminology. Creating Gen AI Roadmaps: Develop strategic roadmaps for Gen AI capabilities to generate value from data and AI. Assessing Systems & Proposing Solutions: Evaluate existing systems and recommend target Gen AI architectures using AI technologies and cloud platforms. Leading & Mentoring Teams: Lead diverse global teams, fostering an inclusive and valued team culture. Managing Stakeholders & Change: Support change management processes to ensure successful Gen AI adoption. Developing Market Offerings: Assist in developing market-leading Gen AI solutions and proposals. Contributing to AI Community: Contribute to the development and growth of our AI and Data Architecture community. Driving Project Delivery: Drive client project delivery by owning workstreams and ensuring successful engagements. Developing Team Members: Develop junior team members through on-the-job training. Qualifications Consulting or ER&I Experience: Client-facing project experience in consulting or direct ER&I industry roles. Proven contribution to proposals, presentations, pre-sales, and opportunity development. ER&I Industry Domain Knowledge: In-depth expertise in ER&I functional areas (Engineering, Operations, Sustainability, Regulatory Compliance, etc.). Deep GenAI Architecture Expertise: Extensive technical architecture experience in GenAI, AI, or Enterprise Architecture, ideally within consulting or industry. Strong Problem-Solving & Analytical Skills: Excellent problem-solving and analytical skills applied to complex GenAI challenges. Executive Stakeholder Management: Strong executive-level stakeholder management and communication skills; ability to build robust client relationships. Leadership & Team Development: Proven leadership in building and developing high-performing, diverse GenAI architecture teams, nurturing junior talent. Designing & Implementing Complex GenAI Solutions: Excellent understanding and experience designing and implementing complex GenAI solutions, including several of the following areas: GenAI model integration & deployment. Prompt engineering & model customization. AI/GenAI governance & ethics (bias detection, explainability). GenAI Platform & Infrastructure Architecture (Cloud, Lakehouse). GenAI ModelOps & Performance Monitoring. AI-driven business intelligence & reporting. Observability & FinOps for AI/GenAI. Cloud Infrastructure, Networking, & Security for AI. Aligning GenAI Architectures Across Organizations: Experience aligning GenAI architecture blueprints across business units and geographies with peers and senior architects. Presenting GenAI Architectural Designs: Experience presenting GenAI architectural designs to diverse stakeholders, including technical authorities and architecture boards. Architectural Evaluation of GenAI Systems: Experience evaluating, designing, and analysing enterprise-wide systems incorporating GenAI, both on-premise and cloud-based. Defining Business Outcomes for GenAI Programs: Experience engaging with business and IT stakeholders to document business outcomes and objectives for large-scale GenAI solutions and programs. Technology & Platform Recommendations for GenAI: Ability to identify requirements, analyse technology alternatives, and recommend build vs. buy for GenAI platforms and solutions. Facilitating GenAI Discovery & Design Workshops: Proven ability to conduct effective discovery and design workshops focused on GenAI solutions. Rapid Learning & Application of GenAI: Demonstrates ability to quickly learn and apply new GenAI techniques and knowledge to achieve business outcomes. Leading Resilient GenAI Project Teams: Experience leading multi-disciplinary teams in fast-paced GenAI projects; demonstrates personal resilience. Go-to-Market & Proposal Development for GenAI: Ability to lead go-to-market activities, including RFI/RFP responses and developing high-quality GenAI-focused proposals. GenAI Design Leadership: Led technical design authorities for strategic GenAI adoption. Strategic GenAI Platform Selection: Strategic GenAI platform/tool evaluation & selection skills. Leading GenAI Trends: Up-to-date on emerging GenAI technologies & standards. AI Regulatory Landscape (ER&I): Understands AI regulations; ensures project compliance. Cloud & Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures. GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge with ethical AI governance focus. ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business value. Enterprise Software Integration: Designed GenAI integrations with SaaS/ERP for business process automation. GenAI Impact Reporting: Designed advanced reporting for measuring GenAI impact and actionable insights. Strategic Project Sizing: Proven strategic project sizing/shaping for large Gen AI programs in ER&I. Global Team Leadership: Managed global/offshore teams effectively for Gen AI projects. Agile Delivery & Client Engagement: Agile project management expertise for rapid GenAI solution delivery; led client workshops.
Jan 26, 2026
Full time
We seek an experienced Associate Director, Gen AI Architect, specialising in the Energy, Resources & Industrials (ER&I) sector, to join our AI & Data team. This role is pivotal in driving the adoption and implementation of Gen AI solutions within ER&I. Generative AI is transforming ER&I, offering unprecedented opportunities for optimization, enhanced decision-making, and new revenue streams. A robust Gen AI strategy is crucial for realizing this potential and gaining a competitive advantage. Our team delivers cutting-edge Gen AI solutions enabling ER&I clients to thrive. ER&I organizations are adopting innovative approaches to model building, customization, and data management, including transfer learning and robust data governance. A well-designed Gen AI platform is at the heart of our clients' GenAI CoE strategy. The Associate Director, Gen AI Architect role is crucial to shaping and executing this vision. Our AI & Data team specializes in implementing Gen AI solutions that drive tangible value for ER&I clients by: Identifying Gen AI opportunities aligned with client strategy. Gathering detailed requirements. Designing scalable Gen AI platforms & architectures. Join Deloitte for exceptional training, growth, and a dynamic team environment. We encourage flexible working arrangements. If this opportunity interests you, please discuss it with us. Responsibilities Designing Gen AI Architectures: Define end-to-end Gen AI architectures aligned with client business objectives and technology strategies. Advising on Gen AI Applications: Guide ER&I clients on leveraging Gen AI to address their challenges and objectives. Establishing Common AI Language: Foster executive-level discussions to establish a common understanding of AI/Gen AI terminology. Creating Gen AI Roadmaps: Develop strategic roadmaps for Gen AI capabilities to generate value from data and AI. Assessing Systems & Proposing Solutions: Evaluate existing systems and recommend target Gen AI architectures using AI technologies and cloud platforms. Leading & Mentoring Teams: Lead diverse global teams, fostering an inclusive and valued team culture. Managing Stakeholders & Change: Support change management processes to ensure successful Gen AI adoption. Developing Market Offerings: Assist in developing market-leading Gen AI solutions and proposals. Contributing to AI Community: Contribute to the development and growth of our AI and Data Architecture community. Driving Project Delivery: Drive client project delivery by owning workstreams and ensuring successful engagements. Developing Team Members: Develop junior team members through on-the-job training. Qualifications Consulting or ER&I Experience: Client-facing project experience in consulting or direct ER&I industry roles. Proven contribution to proposals, presentations, pre-sales, and opportunity development. ER&I Industry Domain Knowledge: In-depth expertise in ER&I functional areas (Engineering, Operations, Sustainability, Regulatory Compliance, etc.). Deep GenAI Architecture Expertise: Extensive technical architecture experience in GenAI, AI, or Enterprise Architecture, ideally within consulting or industry. Strong Problem-Solving & Analytical Skills: Excellent problem-solving and analytical skills applied to complex GenAI challenges. Executive Stakeholder Management: Strong executive-level stakeholder management and communication skills; ability to build robust client relationships. Leadership & Team Development: Proven leadership in building and developing high-performing, diverse GenAI architecture teams, nurturing junior talent. Designing & Implementing Complex GenAI Solutions: Excellent understanding and experience designing and implementing complex GenAI solutions, including several of the following areas: GenAI model integration & deployment. Prompt engineering & model customization. AI/GenAI governance & ethics (bias detection, explainability). GenAI Platform & Infrastructure Architecture (Cloud, Lakehouse). GenAI ModelOps & Performance Monitoring. AI-driven business intelligence & reporting. Observability & FinOps for AI/GenAI. Cloud Infrastructure, Networking, & Security for AI. Aligning GenAI Architectures Across Organizations: Experience aligning GenAI architecture blueprints across business units and geographies with peers and senior architects. Presenting GenAI Architectural Designs: Experience presenting GenAI architectural designs to diverse stakeholders, including technical authorities and architecture boards. Architectural Evaluation of GenAI Systems: Experience evaluating, designing, and analysing enterprise-wide systems incorporating GenAI, both on-premise and cloud-based. Defining Business Outcomes for GenAI Programs: Experience engaging with business and IT stakeholders to document business outcomes and objectives for large-scale GenAI solutions and programs. Technology & Platform Recommendations for GenAI: Ability to identify requirements, analyse technology alternatives, and recommend build vs. buy for GenAI platforms and solutions. Facilitating GenAI Discovery & Design Workshops: Proven ability to conduct effective discovery and design workshops focused on GenAI solutions. Rapid Learning & Application of GenAI: Demonstrates ability to quickly learn and apply new GenAI techniques and knowledge to achieve business outcomes. Leading Resilient GenAI Project Teams: Experience leading multi-disciplinary teams in fast-paced GenAI projects; demonstrates personal resilience. Go-to-Market & Proposal Development for GenAI: Ability to lead go-to-market activities, including RFI/RFP responses and developing high-quality GenAI-focused proposals. GenAI Design Leadership: Led technical design authorities for strategic GenAI adoption. Strategic GenAI Platform Selection: Strategic GenAI platform/tool evaluation & selection skills. Leading GenAI Trends: Up-to-date on emerging GenAI technologies & standards. AI Regulatory Landscape (ER&I): Understands AI regulations; ensures project compliance. Cloud & Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures. GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge with ethical AI governance focus. ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business value. Enterprise Software Integration: Designed GenAI integrations with SaaS/ERP for business process automation. GenAI Impact Reporting: Designed advanced reporting for measuring GenAI impact and actionable insights. Strategic Project Sizing: Proven strategic project sizing/shaping for large Gen AI programs in ER&I. Global Team Leadership: Managed global/offshore teams effectively for Gen AI projects. Agile Delivery & Client Engagement: Agile project management expertise for rapid GenAI solution delivery; led client workshops.
Senior Platform Engineer Birmingham Hybrid (3DPW in office) Competitive salary VIQU have partnered with a leading professional services organisation seeking a Senior Platform Engineer to join their Core Services and Platforms team. This senior, hands-on role will focus on the ownership, support, and evolution of enterprise Microsoft platforms, covering database, web, cloud, identity, and reporting services, while providing technical leadership in a regulated, high-availability environment. Key Responsibilities of the Senior Platform Engineer: Provide third-line support for business-critical platform services Own and support SQL Server, reporting infrastructure, SharePoint (on-prem and cloud), IIS/web platforms, Azure services, and identity services including SSO and MFA Proactively monitor, optimise, and maintain platform performance, availability, capacity, load balancing, and disaster recovery Lead complex troubleshooting, root cause analysis, and incident resolution Deliver code releases, platform upgrades, deployments, and infrastructure changes in line with change and service management processes Act as technical lead, coaching engineers and coordinating BAU and project delivery Work closely with application teams, business services, and third-party vendors Participate in an on-call rota supporting core infrastructure services Key Requirements of the Senior Platform Engineer: Proven experience owning enterprise Microsoft platform services Strong hands-on expertise across SQL Server, SharePoint, Azure Cloud Services, IIS/web infrastructure, reporting platforms, and identity management (SSO and MFA) Experience operating at third-line support level within complex, global environments Strong understanding of performance tuning, availability, monitoring, capacity planning, and disaster recovery Experience delivering upgrades, deployments, and DevOps-style changes under formal change control Ability to provide technical leadership, mentor others, and act as a trusted adviser to stakeholders Apply now to speak with VIQU IT in confidence. Or reach out to Katie Dark via the VIQU website Do you know someone great? We ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment. Senior Platform Engineer Birmingham Hybrid (3DPW in office) Competitive salary
Jan 26, 2026
Full time
Senior Platform Engineer Birmingham Hybrid (3DPW in office) Competitive salary VIQU have partnered with a leading professional services organisation seeking a Senior Platform Engineer to join their Core Services and Platforms team. This senior, hands-on role will focus on the ownership, support, and evolution of enterprise Microsoft platforms, covering database, web, cloud, identity, and reporting services, while providing technical leadership in a regulated, high-availability environment. Key Responsibilities of the Senior Platform Engineer: Provide third-line support for business-critical platform services Own and support SQL Server, reporting infrastructure, SharePoint (on-prem and cloud), IIS/web platforms, Azure services, and identity services including SSO and MFA Proactively monitor, optimise, and maintain platform performance, availability, capacity, load balancing, and disaster recovery Lead complex troubleshooting, root cause analysis, and incident resolution Deliver code releases, platform upgrades, deployments, and infrastructure changes in line with change and service management processes Act as technical lead, coaching engineers and coordinating BAU and project delivery Work closely with application teams, business services, and third-party vendors Participate in an on-call rota supporting core infrastructure services Key Requirements of the Senior Platform Engineer: Proven experience owning enterprise Microsoft platform services Strong hands-on expertise across SQL Server, SharePoint, Azure Cloud Services, IIS/web infrastructure, reporting platforms, and identity management (SSO and MFA) Experience operating at third-line support level within complex, global environments Strong understanding of performance tuning, availability, monitoring, capacity planning, and disaster recovery Experience delivering upgrades, deployments, and DevOps-style changes under formal change control Ability to provide technical leadership, mentor others, and act as a trusted adviser to stakeholders Apply now to speak with VIQU IT in confidence. Or reach out to Katie Dark via the VIQU website Do you know someone great? We ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment. Senior Platform Engineer Birmingham Hybrid (3DPW in office) Competitive salary
About the Role We're seeking an experienced Data Engineer to join a live services environment supporting critical data platforms and operational workloads. This is a hands-on role focused on troubleshooting, incident resolution, maintaining batch operations, and ensuring the smooth transition of new changes into production.You'll work closely with colleagues across Live Services and Project Teams, helping to maintain platform stability, resolve issues efficiently, and drive continuous improvement. Key Responsibilities Investigate and diagnose data-related issues across live environments Support and contribute to timely incident resolution Escalate issues in line with the agreed support model Manage and monitor batch processes and operational data workloads Collaborate with project teams to support seamless deployment and transition of changes into production Identify, recommend, and implement service improvements where capacity allows Work closely with live service team members to maintain high service standards Essential Skills & Experience Proven Data Engineering experience in operational or live service environments Strong competency with ETL/ELT tools, such as: Azure Data Factory Informatica SSIS Airflow Strong SQL proficiency Experience using monitoring tools, including: Application Insights Splunk Grafana CloudWatch Experience with scheduling systems such as Cron, Autosys, or Control-M Understanding of batch vs streaming data workloads Familiarity with cloud/data platforms: Azure, AWS, or GCP Ability to work effectively within structured support models and cross-functional teams Active SC Clearance (mandatory) 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. 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 (url removed)
Jan 26, 2026
Contractor
About the Role We're seeking an experienced Data Engineer to join a live services environment supporting critical data platforms and operational workloads. This is a hands-on role focused on troubleshooting, incident resolution, maintaining batch operations, and ensuring the smooth transition of new changes into production.You'll work closely with colleagues across Live Services and Project Teams, helping to maintain platform stability, resolve issues efficiently, and drive continuous improvement. Key Responsibilities Investigate and diagnose data-related issues across live environments Support and contribute to timely incident resolution Escalate issues in line with the agreed support model Manage and monitor batch processes and operational data workloads Collaborate with project teams to support seamless deployment and transition of changes into production Identify, recommend, and implement service improvements where capacity allows Work closely with live service team members to maintain high service standards Essential Skills & Experience Proven Data Engineering experience in operational or live service environments Strong competency with ETL/ELT tools, such as: Azure Data Factory Informatica SSIS Airflow Strong SQL proficiency Experience using monitoring tools, including: Application Insights Splunk Grafana CloudWatch Experience with scheduling systems such as Cron, Autosys, or Control-M Understanding of batch vs streaming data workloads Familiarity with cloud/data platforms: Azure, AWS, or GCP Ability to work effectively within structured support models and cross-functional teams Active SC Clearance (mandatory) 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. 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 (url removed)
This role is available on a permanent basis but we are also open to hiring a contractor for an initial 6 month period, working via agency. The role is inside IR35. Role and Responsibilities As a Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will: Drive the research, design, development, and evaluation of innovative AI algorithms and models, with a primary focus on audio and speech processing. Lead the development of robust and scalable software solutions for deployment on flagship mobile devices. Independently own and deliver significant components of complex research projects, from initial concept to production readiness. Design, implement, and maintain high-quality, well-documented code, adhering to best software development practices. Collaborate closely with a multi-disciplinary team of researchers and engineers, providing technical guidance and mentorship. Proactively identify and address technical challenges, proposing creative solutions and ensuring the successful delivery of projects. Contribute to the development of internal tools and infrastructure to support research and development efforts. Skills and Qualifications Required Skills MSc/PhD degree in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, Mathematics, or a related discipline. Professional software development experience with Python (experience with C++, Java, or Kotlin is a plus). Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics. Strong experience in audio/speech processing, including areas such as speech recognition, speech enhancement, audio analysis, text-to-speech synthesis, and natural language processing. Proficiency with machine learning frameworks such as TensorFlow or PyTorch. Solid understanding of software engineering principles, including version control (Git), CI/CD pipelines, and agile development methodologies. Excellent communication, collaboration, and problem solving skills. Demonstrated ability to translate research ideas into practical, production ready solutions. Desirable Skills Experience with in generative AI, particularly in the context of audio/speech technologies. A strong publication record in top tier machine learning, artificial intelligence, or signal processing conferences and journals (e.g., ICML, NeurIPS, ICLR, CVPR, SysML, INTERSPEECH, ICASSP, IEEE/ACM TASLP, IEEE TPAMI, JMLR). Experience with open source speech processing toolkits (e.g., Hugging Face Transformers, SpeechBrain, ESPnet, Kaldi, NeMo). Experience developing and deploying AI models on Android mobile platforms. Proven experience in building and maintaining large scale, distributed training pipelines. Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
Jan 26, 2026
Full time
This role is available on a permanent basis but we are also open to hiring a contractor for an initial 6 month period, working via agency. The role is inside IR35. Role and Responsibilities As a Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will: Drive the research, design, development, and evaluation of innovative AI algorithms and models, with a primary focus on audio and speech processing. Lead the development of robust and scalable software solutions for deployment on flagship mobile devices. Independently own and deliver significant components of complex research projects, from initial concept to production readiness. Design, implement, and maintain high-quality, well-documented code, adhering to best software development practices. Collaborate closely with a multi-disciplinary team of researchers and engineers, providing technical guidance and mentorship. Proactively identify and address technical challenges, proposing creative solutions and ensuring the successful delivery of projects. Contribute to the development of internal tools and infrastructure to support research and development efforts. Skills and Qualifications Required Skills MSc/PhD degree in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, Mathematics, or a related discipline. Professional software development experience with Python (experience with C++, Java, or Kotlin is a plus). Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics. Strong experience in audio/speech processing, including areas such as speech recognition, speech enhancement, audio analysis, text-to-speech synthesis, and natural language processing. Proficiency with machine learning frameworks such as TensorFlow or PyTorch. Solid understanding of software engineering principles, including version control (Git), CI/CD pipelines, and agile development methodologies. Excellent communication, collaboration, and problem solving skills. Demonstrated ability to translate research ideas into practical, production ready solutions. Desirable Skills Experience with in generative AI, particularly in the context of audio/speech technologies. A strong publication record in top tier machine learning, artificial intelligence, or signal processing conferences and journals (e.g., ICML, NeurIPS, ICLR, CVPR, SysML, INTERSPEECH, ICASSP, IEEE/ACM TASLP, IEEE TPAMI, JMLR). Experience with open source speech processing toolkits (e.g., Hugging Face Transformers, SpeechBrain, ESPnet, Kaldi, NeMo). Experience developing and deploying AI models on Android mobile platforms. Proven experience in building and maintaining large scale, distributed training pipelines. Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
About Latham & Watkins Latham & Watkins is a global law firm consistently ranked among the top firms in the world. The success of our firm is largely determined by our commitment to hire and develop the very best and brightest, creating a team that provides our clients with the highest quality of work and service. We are driven by our core values: respect, innovation, and collaboration. About the Role The Infrastructure Engineeris an integral part of Latham's Technology & Information Services team. This role will be responsible for designing, implementing, and managing scalable, secure, and reliable infrastructure solutions both on premises and in the cloud, and ensuring their consistency across the firm. This role will be located in either our Manchester,Las Vegas, or Los Angeles office. Please note that this role may be eligible for a flexible working schedule that allows for a hybrid and in-office presence. Responsibilities & Qualifications Other key responsibilities include: Designing, building, and managing highly available and scalable Kubernetes clusters in a hybrid environment. Administering RedHat Enterprise Linux (RHEL) systems, including patch management, security hardening, and automation Automating infrastructure processes using scripting and Infrastructure as Code (IaC) tools Implementing security best practices, including identity and access management (IAM), encryption, and compliance Keeping up to date with emerging infrastructure technologies and recommending improvements to existing solutions We'd love to hear from you if you: Possess hands on expertise with Kubernetes in a production environment, preferably Red Hat OpenShift. Possess experience building and managing CI/CD pipelines (Azure DevOps, ArgoCD, etc.) Possess expertise in the VMware Cloud Foundation suite Demonstrate expertise in Microsoft Azure cloud services and solutions Display proficiency in automation tools such as Terraform or Ansible And have: A bachelor's degree or equivalent in computer science, information technology, or a related field Kubernetes certification, such as Red Hat Certified Specialist in OpenShift Administration (RHCSA) or equivalent (e.g. CKA/CKAD) On premises certifications such as VMware Certified Professional (VCP), RedHat Certified System Administrator (RHSA), or equivalent Cloud certifications such as Azure Administrator Associate, Azure DevOps Engineer Expert, Azure Security Engineer Associate, or equivalent Benefits & Additional Information Successful candidates will not only be provided with an outstanding career opportunity and welcoming environment, but will also be provided with a generous total compensation package with bonuses awarded in recognition of both individual and firm performance. Eligible employees can participate in Latham's comprehensive benefit program which includes: Health insurance as well as group income protection and life assurance A pension plan Wellness programs Employee discounts And more! Additionally, we have a range of programming including Global Affinity Groups, which are open to all. These groups provide a firmwide platform to share experiences and advice as well as an opportunity to participate in a supportive network with common interests to help make life at the firm even better. Latham & Watkins is an equal opportunity employer. The Firm prohibits discrimination against any employee or applicant for employment on the basis of race (including, but not limited to, hair texture and protective hairstyles), colour, religion, sex, age, national origin, sexual orientation, gender identity, veteran status (including veterans of the Vietnam era), gender expression, marital status, or any other characteristic or condition protected by applicable statute.
Jan 26, 2026
Full time
About Latham & Watkins Latham & Watkins is a global law firm consistently ranked among the top firms in the world. The success of our firm is largely determined by our commitment to hire and develop the very best and brightest, creating a team that provides our clients with the highest quality of work and service. We are driven by our core values: respect, innovation, and collaboration. About the Role The Infrastructure Engineeris an integral part of Latham's Technology & Information Services team. This role will be responsible for designing, implementing, and managing scalable, secure, and reliable infrastructure solutions both on premises and in the cloud, and ensuring their consistency across the firm. This role will be located in either our Manchester,Las Vegas, or Los Angeles office. Please note that this role may be eligible for a flexible working schedule that allows for a hybrid and in-office presence. Responsibilities & Qualifications Other key responsibilities include: Designing, building, and managing highly available and scalable Kubernetes clusters in a hybrid environment. Administering RedHat Enterprise Linux (RHEL) systems, including patch management, security hardening, and automation Automating infrastructure processes using scripting and Infrastructure as Code (IaC) tools Implementing security best practices, including identity and access management (IAM), encryption, and compliance Keeping up to date with emerging infrastructure technologies and recommending improvements to existing solutions We'd love to hear from you if you: Possess hands on expertise with Kubernetes in a production environment, preferably Red Hat OpenShift. Possess experience building and managing CI/CD pipelines (Azure DevOps, ArgoCD, etc.) Possess expertise in the VMware Cloud Foundation suite Demonstrate expertise in Microsoft Azure cloud services and solutions Display proficiency in automation tools such as Terraform or Ansible And have: A bachelor's degree or equivalent in computer science, information technology, or a related field Kubernetes certification, such as Red Hat Certified Specialist in OpenShift Administration (RHCSA) or equivalent (e.g. CKA/CKAD) On premises certifications such as VMware Certified Professional (VCP), RedHat Certified System Administrator (RHSA), or equivalent Cloud certifications such as Azure Administrator Associate, Azure DevOps Engineer Expert, Azure Security Engineer Associate, or equivalent Benefits & Additional Information Successful candidates will not only be provided with an outstanding career opportunity and welcoming environment, but will also be provided with a generous total compensation package with bonuses awarded in recognition of both individual and firm performance. Eligible employees can participate in Latham's comprehensive benefit program which includes: Health insurance as well as group income protection and life assurance A pension plan Wellness programs Employee discounts And more! Additionally, we have a range of programming including Global Affinity Groups, which are open to all. These groups provide a firmwide platform to share experiences and advice as well as an opportunity to participate in a supportive network with common interests to help make life at the firm even better. Latham & Watkins is an equal opportunity employer. The Firm prohibits discrimination against any employee or applicant for employment on the basis of race (including, but not limited to, hair texture and protective hairstyles), colour, religion, sex, age, national origin, sexual orientation, gender identity, veteran status (including veterans of the Vietnam era), gender expression, marital status, or any other characteristic or condition protected by applicable statute.
Description We are seeking a highly skilled and motivated Lead Java Development Consultant to join our innovative development team. You will be instrumental in designing, developing, and maintaining high performance, scalable applications and services. This role requires deep expertise in modern Java ecosystems, microservice architectures, and distributed systems design patterns. Requirements Core Development Professional software development experience, primarily in Java/JEE. Proficiency with the Spring Framework, including Spring Boot, Spring Cloud, Spring Security, and Spring Data. Experience in designing and building Microservices and highly distributed systems. Kafka & Scaling: Experience with message brokers, guaranteeing message order, and implementing idempotency. Saga Pattern: Practical application of distributed transactions for eventual consistency across microservices. CQRS: Understanding of Command Query Responsibility Segregation and managing eventual consistency. Orchestration vs Choreography: Ability to choose and implement appropriate service coordination strategies. Solid experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). Strong experience designing, documenting, and implementing APIs (RESTful services). DevOps & Cloud Hands-on experience with Cloud Computing platforms (AWS, Azure, or GCP). Proficiency with CI/CD tools, specifically Jenkins, for automation of build, test, and deployment processes. Familiarity with containerization technologies (Docker, Kubernetes). Experience with other SDLC tools (e.g., Git, Jira, Confluence). Job responsibilities Lead the design, development, and deployment of mission-critical applications using Java, Spring Boot, and JEE technologies. Implement and manage microservices, ensuring high availability, performance, and scalability. Design and build robust, secure, and well-documented APIs (REST/gRPC). Collaborate with cross-functional teams (Product, DevOps, QA) to define, design, and ship new features. Drive the continuous integration and continuous deployment (CI/CD) pipeline using tools like Jenkins. Architect and implement solutions on cloud platforms (AWS, Azure, or GCP). Mentor junior engineers and promote best practices in coding, testing, and system design. Participate in code reviews to ensure code quality, maintainability, and adherence to established standards. Troubleshoot and resolve complex production issues across various system components. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
Jan 26, 2026
Full time
Description We are seeking a highly skilled and motivated Lead Java Development Consultant to join our innovative development team. You will be instrumental in designing, developing, and maintaining high performance, scalable applications and services. This role requires deep expertise in modern Java ecosystems, microservice architectures, and distributed systems design patterns. Requirements Core Development Professional software development experience, primarily in Java/JEE. Proficiency with the Spring Framework, including Spring Boot, Spring Cloud, Spring Security, and Spring Data. Experience in designing and building Microservices and highly distributed systems. Kafka & Scaling: Experience with message brokers, guaranteeing message order, and implementing idempotency. Saga Pattern: Practical application of distributed transactions for eventual consistency across microservices. CQRS: Understanding of Command Query Responsibility Segregation and managing eventual consistency. Orchestration vs Choreography: Ability to choose and implement appropriate service coordination strategies. Solid experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). Strong experience designing, documenting, and implementing APIs (RESTful services). DevOps & Cloud Hands-on experience with Cloud Computing platforms (AWS, Azure, or GCP). Proficiency with CI/CD tools, specifically Jenkins, for automation of build, test, and deployment processes. Familiarity with containerization technologies (Docker, Kubernetes). Experience with other SDLC tools (e.g., Git, Jira, Confluence). Job responsibilities Lead the design, development, and deployment of mission-critical applications using Java, Spring Boot, and JEE technologies. Implement and manage microservices, ensuring high availability, performance, and scalability. Design and build robust, secure, and well-documented APIs (REST/gRPC). Collaborate with cross-functional teams (Product, DevOps, QA) to define, design, and ship new features. Drive the continuous integration and continuous deployment (CI/CD) pipeline using tools like Jenkins. Architect and implement solutions on cloud platforms (AWS, Azure, or GCP). Mentor junior engineers and promote best practices in coding, testing, and system design. Participate in code reviews to ensure code quality, maintainability, and adherence to established standards. Troubleshoot and resolve complex production issues across various system components. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
