A total cash package of up to £110,000 comprising of a base salary of £82,005 We are a dynamic consulting firm, focused on delivering sustainable change. We ensure our clients succeed in their long-term goals by helping them turn their strategy into action through exceptional delivery and a commitment to establishing a culture of change. Clients like what we do and how we work, and we are looking for people to join the Moorhouse team. We pride ourselves on being proactive, collaborative, and straightforward team players. We work efficiently and collaboratively as a team and both honesty and integrity are key to this. In return you will be part of a supportive and high-performing team that shares the workload, looks after each other and celebrates success together. You can be assured of an exciting opportunity that will help you grow your skills through meaningful challenges and equip you with skills, experience and knowledge that can help organisations respond to the turbulence, change and opportunity that will define the future of work. We encourage behaviours that promote transparency, collaboration and achievement of shared goals. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining deep technical expertise with the consulting skills needed to drive real-world change. Our team works across the full data and analytics lifecycle,from defining strategy and enabling data-driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision-making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web-based products that deliver forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on driving tangible business outcomes. As demand for digital and AI-enabled transformation continues to grow, our Data Science team is expandingand contributing to some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? We are seeking a hands-on, technically focused Manager to join the Data Science function, who will lead the delivery of complex data science and digital product projects. While there will be opportunities to contribute to business growth and propositions, the key component of this role is strong technical delivery : architecting solutions, guiding teams, and ensuring the highest-quality output. This role complements another Manager in the team who is focused on proposition development and commercial growth. You will bring the deep engineering and delivery expertise necessary to ensure our solutions are robust, scalable and production-ready. In this role, you will have the opportunity to: Lead complex end-to-end delivery of data science and digital product solutions Lead the delivery of high-impact projects involving machine learning, forecasting, optimisation and data-driven digital products. Design and architect analytical solutions, including modelling approaches, data pipelines, integration patterns and deployment frameworks. Promote delivery excellence, engineering discipline and best-practice coding standards across teams. Be the technical leadership on DevOps/MLOps Implement and embed CI/CD pipelines, automated testing frameworks, containerisation and monitoring. Guide cloud architecture and infrastructure-as-code approaches (AWS, Azure, GCP). Encourage best practices for operationalising machine learning models at scale. Lead multidisciplinary teams with confidence Coach, mentor and support junior team members, ensuring they deliver high-quality technical work. Foster engineering maturity and support the development of technical capability across the team. Engage with senior stakeholders Translate technical detail into actionable insights and recommendations for clients. Build trusted relationships with leaders across multiple sectors. Support commercial and proposition development Provide technical input into proposals and bids. Contribute to refining our Data Science and AI propositions. Essential skills What are we looking for? We are seeking candidates with 6-8+ years of experience in data science, data engineering, analytics or AI product delivery, with a strong emphasis on hands-on technical leadership. Deep Technical Delivery Expertise Advanced proficiency in Python and SQL ; experience designing and delivering production-grade solutions. Operationalisation of machine learning models, forecasting tools, optimisation algorithms or analytical applications. Experience designing data pipelines, ETL workflows, APIs and data integration approaches. Automated testing (unit, integration, data validation, ML testing) Infrastructure-as-code (Terraform, ARM, CloudFormation) Monitoring and observability Experience with cloud ecosystems (Azure, AWS, GCP, Snowflake, Databricks). Strong understanding of software engineering fundamentals and modern development practices. Leadership & Consulting Capability Proven ability to lead delivery of complex technical programmes. Strong people leadership and mentoring capabilities. Excellent communication skills and ability to engage senior stakeholders. Collaborative mindset and commitment to high-quality client delivery. What we can offer you: A total cash package of up to £110,000 comprising of a base salary of £82,005 and a combination of personal and company bonuses that are paid every six months. 25 days annual leave increasing by one day for every full year of service to a maximum of 30 days with the option to buy or sell up to five days of annual leave per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of discounted lifestyle and well-being benefits through Perkbox. A culture where you will not need to compete with others because of promotion quotas or the typical distribution curves that govern performance management in other organisations. We recognise and reward performance consistently and transparently across the firm so that everyone knows where they stand. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally. We value your privacy
Apr 04, 2026
Full time
A total cash package of up to £110,000 comprising of a base salary of £82,005 We are a dynamic consulting firm, focused on delivering sustainable change. We ensure our clients succeed in their long-term goals by helping them turn their strategy into action through exceptional delivery and a commitment to establishing a culture of change. Clients like what we do and how we work, and we are looking for people to join the Moorhouse team. We pride ourselves on being proactive, collaborative, and straightforward team players. We work efficiently and collaboratively as a team and both honesty and integrity are key to this. In return you will be part of a supportive and high-performing team that shares the workload, looks after each other and celebrates success together. You can be assured of an exciting opportunity that will help you grow your skills through meaningful challenges and equip you with skills, experience and knowledge that can help organisations respond to the turbulence, change and opportunity that will define the future of work. We encourage behaviours that promote transparency, collaboration and achievement of shared goals. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining deep technical expertise with the consulting skills needed to drive real-world change. Our team works across the full data and analytics lifecycle,from defining strategy and enabling data-driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision-making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web-based products that deliver forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on driving tangible business outcomes. As demand for digital and AI-enabled transformation continues to grow, our Data Science team is expandingand contributing to some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? We are seeking a hands-on, technically focused Manager to join the Data Science function, who will lead the delivery of complex data science and digital product projects. While there will be opportunities to contribute to business growth and propositions, the key component of this role is strong technical delivery : architecting solutions, guiding teams, and ensuring the highest-quality output. This role complements another Manager in the team who is focused on proposition development and commercial growth. You will bring the deep engineering and delivery expertise necessary to ensure our solutions are robust, scalable and production-ready. In this role, you will have the opportunity to: Lead complex end-to-end delivery of data science and digital product solutions Lead the delivery of high-impact projects involving machine learning, forecasting, optimisation and data-driven digital products. Design and architect analytical solutions, including modelling approaches, data pipelines, integration patterns and deployment frameworks. Promote delivery excellence, engineering discipline and best-practice coding standards across teams. Be the technical leadership on DevOps/MLOps Implement and embed CI/CD pipelines, automated testing frameworks, containerisation and monitoring. Guide cloud architecture and infrastructure-as-code approaches (AWS, Azure, GCP). Encourage best practices for operationalising machine learning models at scale. Lead multidisciplinary teams with confidence Coach, mentor and support junior team members, ensuring they deliver high-quality technical work. Foster engineering maturity and support the development of technical capability across the team. Engage with senior stakeholders Translate technical detail into actionable insights and recommendations for clients. Build trusted relationships with leaders across multiple sectors. Support commercial and proposition development Provide technical input into proposals and bids. Contribute to refining our Data Science and AI propositions. Essential skills What are we looking for? We are seeking candidates with 6-8+ years of experience in data science, data engineering, analytics or AI product delivery, with a strong emphasis on hands-on technical leadership. Deep Technical Delivery Expertise Advanced proficiency in Python and SQL ; experience designing and delivering production-grade solutions. Operationalisation of machine learning models, forecasting tools, optimisation algorithms or analytical applications. Experience designing data pipelines, ETL workflows, APIs and data integration approaches. Automated testing (unit, integration, data validation, ML testing) Infrastructure-as-code (Terraform, ARM, CloudFormation) Monitoring and observability Experience with cloud ecosystems (Azure, AWS, GCP, Snowflake, Databricks). Strong understanding of software engineering fundamentals and modern development practices. Leadership & Consulting Capability Proven ability to lead delivery of complex technical programmes. Strong people leadership and mentoring capabilities. Excellent communication skills and ability to engage senior stakeholders. Collaborative mindset and commitment to high-quality client delivery. What we can offer you: A total cash package of up to £110,000 comprising of a base salary of £82,005 and a combination of personal and company bonuses that are paid every six months. 25 days annual leave increasing by one day for every full year of service to a maximum of 30 days with the option to buy or sell up to five days of annual leave per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of discounted lifestyle and well-being benefits through Perkbox. A culture where you will not need to compete with others because of promotion quotas or the typical distribution curves that govern performance management in other organisations. We recognise and reward performance consistently and transparently across the firm so that everyone knows where they stand. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally. We value your privacy
We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. About the Role: The Confluent Cloud Platform based on Apache Kafka is the leading Cloud Native Platform as a Service for streaming data infrastructure, but this is just the beginning. We are building a PaaS enabling customer around the globe to deliver streaming applications. What You Will Do: Design, implement and maintain Golang infrastructure services (typically implemented as Kubernetes operators) to deliver the Confluent cloud foundations to the wider engineering organization Terraform, Datadog, Prometheus and a strong command of Linux, public cloud and networking should come as standard - though Golang software engineering will be your primary focus As a Confluent Cloud Infrastructure Software Engineer, you will be working alongside the rest of the Confluent engineers to build our PaaS product You, and the rest of the team, will be responsible for the availability, performance, monitoring, emergency response, and capacity planning of the Confluent cloud If you love the hum of big data systems covering 10,000's of instances, thinking about how to make them run as smoothly and securely as possible, and want to have a big influence on the architecture plus operational design points of this new product, then you will fit right in What You Will Bring: BS, MS, or PhD in computer science or a related field, or equivalent work experience 4+ years of relevant cloud infrastructure/cloud networking experience Strong fundamentals in distributed systems design and development Experience building and operating large-scale systems Solid understanding of basic systems operations (disk, network, operating systems, etc) A self-starter with the ability to work effectively in teams Proficiency in Go, Python, C++, or other statically typed languages Experience/knowledge with public clouds (AWS, Azure or GCP) What Gives You an Edge: Experience with Golang is advantageous Experience using Apache Kafka is a big plus Ready to build what's next? Let's get in motion. Come As You Are Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible. We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law. Global Benefits to Help You Do Your Best Work Remote-First Work Robust Insurance Benefits Flexible Time Away The Best Teammates Open and Honest Culture Well-Being and Growth Leadership Principles Define How we Act Our Leadership Principles outline a shared set of expectations for how we think and behave at Confluent. They're an extension of our company values which we all live each day. You can learn more here . Confluent is Remote-First We care about how you work, not where. Confluent is built for flexibility, so we encourage you to apply from anywhere. But we also know that trust and purpose are built face-to-face. That's why we combine remote freedom with in-person onboarding to jumpstart your journey. It's the best of both worlds: the autonomy you want with the community you need. Read why we prioritize in-person onboarding Compensation At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click here .
Apr 04, 2026
Full time
We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. About the Role: The Confluent Cloud Platform based on Apache Kafka is the leading Cloud Native Platform as a Service for streaming data infrastructure, but this is just the beginning. We are building a PaaS enabling customer around the globe to deliver streaming applications. What You Will Do: Design, implement and maintain Golang infrastructure services (typically implemented as Kubernetes operators) to deliver the Confluent cloud foundations to the wider engineering organization Terraform, Datadog, Prometheus and a strong command of Linux, public cloud and networking should come as standard - though Golang software engineering will be your primary focus As a Confluent Cloud Infrastructure Software Engineer, you will be working alongside the rest of the Confluent engineers to build our PaaS product You, and the rest of the team, will be responsible for the availability, performance, monitoring, emergency response, and capacity planning of the Confluent cloud If you love the hum of big data systems covering 10,000's of instances, thinking about how to make them run as smoothly and securely as possible, and want to have a big influence on the architecture plus operational design points of this new product, then you will fit right in What You Will Bring: BS, MS, or PhD in computer science or a related field, or equivalent work experience 4+ years of relevant cloud infrastructure/cloud networking experience Strong fundamentals in distributed systems design and development Experience building and operating large-scale systems Solid understanding of basic systems operations (disk, network, operating systems, etc) A self-starter with the ability to work effectively in teams Proficiency in Go, Python, C++, or other statically typed languages Experience/knowledge with public clouds (AWS, Azure or GCP) What Gives You an Edge: Experience with Golang is advantageous Experience using Apache Kafka is a big plus Ready to build what's next? Let's get in motion. Come As You Are Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible. We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law. Global Benefits to Help You Do Your Best Work Remote-First Work Robust Insurance Benefits Flexible Time Away The Best Teammates Open and Honest Culture Well-Being and Growth Leadership Principles Define How we Act Our Leadership Principles outline a shared set of expectations for how we think and behave at Confluent. They're an extension of our company values which we all live each day. You can learn more here . Confluent is Remote-First We care about how you work, not where. Confluent is built for flexibility, so we encourage you to apply from anywhere. But we also know that trust and purpose are built face-to-face. That's why we combine remote freedom with in-person onboarding to jumpstart your journey. It's the best of both worlds: the autonomy you want with the community you need. Read why we prioritize in-person onboarding Compensation At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click here .
AWS Security & Vulnerability Remediation Engineer (DevSecOps / Cloud Security) 3 month initial contract outside IR35 Role Summary We are looking to hire an AWS-focused security engineer to lead the remediation of cloud and application vulnerabilities across our AWS environment. You will work closely with Developers, Data Engineers, and our AWS Security Lead to validate findings, prioritise risk, implement fixes, and strengthen security controls. AWS security is your primary technical skill; a strong understanding of software development, DevSecOps practices, and vulnerability management is essential. Key Responsibilities Own end-to-end remediation of AWS and workload vulnerabilities: confirm findings, assess impact, prioritise actions, and track through to closure. Partner with Developers and Data Engineers to implement secure fixes in code, infrastructure, and delivery pipelines (IaC, containers, serverless, OS/packages). Work with the AWS Security Lead to ensure remediation aligns with AWS security controls, internal risk policies, and compliance requirements. Improve and automate vulnerability management processes (e.g., scanning coverage, SLAs, exception handling, evidence capture). Embed security into CI/CD and the SDLC: shift-left reviews, secure coding guidance, dependency management, and pipeline guardrails. Configure, tune, and operate AWS security services (e.g., GuardDuty, Security Hub, Inspector, Config, IAM Access Analyzer) to reduce exposure and prevent repeat issues. Produce clear remediation guidance, runbooks, and reporting dashboards for both technical and non-technical stakeholders. Support incident response and post-remediation validation where high-risk findings are exploited or trending. AWS / Cloud Security (Primary) Deep, hands-on AWS security experience across IAM, networking, compute, storage, serverless, and managed data services. Strong knowledge of the AWS Well-Architected Security Pillar and common control frameworks (CIS AWS Foundations, NIST/ISO-aligned controls). Demonstrable experience implementing and validating AWS security controls, including: IAM least privilege, roles, permission boundaries, SCPs, and access reviews VPC segmentation, security group/NACL design, private endpoints, WAF/Shield Encryption in transit and at rest using KMS, TLS, and secrets management Logging and monitoring: CloudTrail, CloudWatch, Config, centralised SIEM patterns Threat detection and posture management using AWS native services Dev / DevSecOps / Vulnerability Management (Primary) Strong understanding of modern SDLC, CI/CD, and DevSecOps approaches. Proven experience managing the full vulnerability lifecycle: triage, prioritisation (CVSS/EPSS/KEV), remediation, verification, and reporting. Comfortable remediating a wide range of findings: OS/package CVEs, container images, third-party libraries, serverless runtimes, and cloud misconfigurations. Able to translate security findings into clear, practical tasks for engineering teams and coach on secure implementation. Engineering & Tooling Infrastructure as Code: Terraform and/or CloudFormation; able to review and fix security weaknesses in IaC. Scripting/automation skills in Python, Bash, or similar to streamline remediation and control validation. Familiarity with container and serverless security (ECR, ECS/EKS, Lambda, image scanning, runtime hardening). Experience with common vulnerability and scanning tools (e.g., AWS Inspector/Security Hub, Snyk, Trivy, Dependabot, Prisma/Qualys/Tenable, etc.). Nice to Have Security certifications such as AWS Security Specialty, AWS Solutions Architect, or equivalent. Experience supporting data platforms on AWS (Glue, EMR, Redshift, Athena, RDS, OpenSearch, Kafka/MSK). Knowledge of secure coding practices in Python/Node/Java or your core development stack. Experience with policy-as-code and automated control enforcement (OPA/Conftest, tfsec, Checkov). Personal Attributes Highly collaborative and pragmatic; you enjoy working directly with engineers to ship secure fixes quickly. Strong risk judgement and the ability to balance urgency with operational impact. Clear communicator who can write concise remediation guidance and present progress to stakeholders. Ownership mindset: you drive remediation through to completion, not just identification. Outside IR35
Apr 04, 2026
Full time
AWS Security & Vulnerability Remediation Engineer (DevSecOps / Cloud Security) 3 month initial contract outside IR35 Role Summary We are looking to hire an AWS-focused security engineer to lead the remediation of cloud and application vulnerabilities across our AWS environment. You will work closely with Developers, Data Engineers, and our AWS Security Lead to validate findings, prioritise risk, implement fixes, and strengthen security controls. AWS security is your primary technical skill; a strong understanding of software development, DevSecOps practices, and vulnerability management is essential. Key Responsibilities Own end-to-end remediation of AWS and workload vulnerabilities: confirm findings, assess impact, prioritise actions, and track through to closure. Partner with Developers and Data Engineers to implement secure fixes in code, infrastructure, and delivery pipelines (IaC, containers, serverless, OS/packages). Work with the AWS Security Lead to ensure remediation aligns with AWS security controls, internal risk policies, and compliance requirements. Improve and automate vulnerability management processes (e.g., scanning coverage, SLAs, exception handling, evidence capture). Embed security into CI/CD and the SDLC: shift-left reviews, secure coding guidance, dependency management, and pipeline guardrails. Configure, tune, and operate AWS security services (e.g., GuardDuty, Security Hub, Inspector, Config, IAM Access Analyzer) to reduce exposure and prevent repeat issues. Produce clear remediation guidance, runbooks, and reporting dashboards for both technical and non-technical stakeholders. Support incident response and post-remediation validation where high-risk findings are exploited or trending. AWS / Cloud Security (Primary) Deep, hands-on AWS security experience across IAM, networking, compute, storage, serverless, and managed data services. Strong knowledge of the AWS Well-Architected Security Pillar and common control frameworks (CIS AWS Foundations, NIST/ISO-aligned controls). Demonstrable experience implementing and validating AWS security controls, including: IAM least privilege, roles, permission boundaries, SCPs, and access reviews VPC segmentation, security group/NACL design, private endpoints, WAF/Shield Encryption in transit and at rest using KMS, TLS, and secrets management Logging and monitoring: CloudTrail, CloudWatch, Config, centralised SIEM patterns Threat detection and posture management using AWS native services Dev / DevSecOps / Vulnerability Management (Primary) Strong understanding of modern SDLC, CI/CD, and DevSecOps approaches. Proven experience managing the full vulnerability lifecycle: triage, prioritisation (CVSS/EPSS/KEV), remediation, verification, and reporting. Comfortable remediating a wide range of findings: OS/package CVEs, container images, third-party libraries, serverless runtimes, and cloud misconfigurations. Able to translate security findings into clear, practical tasks for engineering teams and coach on secure implementation. Engineering & Tooling Infrastructure as Code: Terraform and/or CloudFormation; able to review and fix security weaknesses in IaC. Scripting/automation skills in Python, Bash, or similar to streamline remediation and control validation. Familiarity with container and serverless security (ECR, ECS/EKS, Lambda, image scanning, runtime hardening). Experience with common vulnerability and scanning tools (e.g., AWS Inspector/Security Hub, Snyk, Trivy, Dependabot, Prisma/Qualys/Tenable, etc.). Nice to Have Security certifications such as AWS Security Specialty, AWS Solutions Architect, or equivalent. Experience supporting data platforms on AWS (Glue, EMR, Redshift, Athena, RDS, OpenSearch, Kafka/MSK). Knowledge of secure coding practices in Python/Node/Java or your core development stack. Experience with policy-as-code and automated control enforcement (OPA/Conftest, tfsec, Checkov). Personal Attributes Highly collaborative and pragmatic; you enjoy working directly with engineers to ship secure fixes quickly. Strong risk judgement and the ability to balance urgency with operational impact. Clear communicator who can write concise remediation guidance and present progress to stakeholders. Ownership mindset: you drive remediation through to completion, not just identification. Outside IR35
Overview Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company. As a Lead Data Scientist you will: Become a trusted advisor working with clients to design end-to-end analytical solutions Work independently to solve complex data science use-cases across various industries Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights Write code in SQL, Python, and Spark following software engineering best practices Collaborate with stakeholders and customers to ensure successful project delivery Who we are looking for We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code leveraging key Databricks features. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that, regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. In particular you have these traits: Degree in Computer Science, Engineering, Mathematics, or equivalent experience. Experience with building high quality Data Science models to solve a client's business problems Experience with managing stakeholders and collaborating with customers Strong written and verbal communication skills required Ability to manage an individual workstream independently 3+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.) Ability to apply data science methodologies and principles to real life projects Expertise in software engineering concepts and best practices Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or people Willingness to travel Want to stand out? Consulting Experience Databricks Machine Learning Associate or Machine Learning Professional Certification Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc Experience with deep learning frameworks like TensorFlow or PyTorch Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing. Experience with CI/CD pipelines (e.g., DevOps pipelines, GitHub Actions) Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps Familiarity with Agile methodologies, preferably Scrum We are actively seeking candidates for full-time, remote work within the US, UK or Colombia.
Apr 03, 2026
Full time
Overview Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company. As a Lead Data Scientist you will: Become a trusted advisor working with clients to design end-to-end analytical solutions Work independently to solve complex data science use-cases across various industries Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights Write code in SQL, Python, and Spark following software engineering best practices Collaborate with stakeholders and customers to ensure successful project delivery Who we are looking for We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code leveraging key Databricks features. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that, regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. In particular you have these traits: Degree in Computer Science, Engineering, Mathematics, or equivalent experience. Experience with building high quality Data Science models to solve a client's business problems Experience with managing stakeholders and collaborating with customers Strong written and verbal communication skills required Ability to manage an individual workstream independently 3+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.) Ability to apply data science methodologies and principles to real life projects Expertise in software engineering concepts and best practices Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or people Willingness to travel Want to stand out? Consulting Experience Databricks Machine Learning Associate or Machine Learning Professional Certification Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc Experience with deep learning frameworks like TensorFlow or PyTorch Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing. Experience with CI/CD pipelines (e.g., DevOps pipelines, GitHub Actions) Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps Familiarity with Agile methodologies, preferably Scrum We are actively seeking candidates for full-time, remote work within the US, UK or Colombia.
Overview Job Title: AWS DevOps Engineer Level: Consultant Locations: London, Manchester, Bristol, Birmingham Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which typically requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British passport holder with no dual nationalism at the point of application. Note: The information relates to a specific client requirement. Accenture is a leading global professional services company providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognised worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO Qualifications As a team: Collaborate with cross-functional teams to deliver innovative solutions. Foster a culture of continuous improvement and operational excellence. Responsibilities As a DevOps Engineer you will: Design, implement, and maintain CI/CD pipelines. Automate infrastructure provisioning and configuration management. Monitor system performance and troubleshoot issues. Ensure security and compliance across all environments. Collaborate with development teams to ensure seamless integration and deployment. Required skills Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. About Accenture Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialised capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centres. With 509,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. Closing Date Closing Date for Applications: 1st June 2026 Accenture reserves the right to close the role prior to this date should a suitable applicant be found. Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Join Accenture to work at the heart of change. Visit us at
Apr 03, 2026
Full time
Overview Job Title: AWS DevOps Engineer Level: Consultant Locations: London, Manchester, Bristol, Birmingham Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which typically requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British passport holder with no dual nationalism at the point of application. Note: The information relates to a specific client requirement. Accenture is a leading global professional services company providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognised worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO Qualifications As a team: Collaborate with cross-functional teams to deliver innovative solutions. Foster a culture of continuous improvement and operational excellence. Responsibilities As a DevOps Engineer you will: Design, implement, and maintain CI/CD pipelines. Automate infrastructure provisioning and configuration management. Monitor system performance and troubleshoot issues. Ensure security and compliance across all environments. Collaborate with development teams to ensure seamless integration and deployment. Required skills Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. About Accenture Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialised capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centres. With 509,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. Closing Date Closing Date for Applications: 1st June 2026 Accenture reserves the right to close the role prior to this date should a suitable applicant be found. Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Join Accenture to work at the heart of change. Visit us at
SenseOn is looking for a Forward Deployed Engineer to sit at the intersection of security engineering, software development, and customer success. This is one of the broadest and most impactful technical roles in the business, you will be the person who makes SenseOn work, in the real world, for real customers. As a Forward Deployed Engineer, you will embed directly with customers to deploy and configure the SenseOn platform, develop custom integrations, and ensure that every customer derives measurable security value as quickly as possible. You will own the technical outcome, supporting technical sales and working on technical delivery to enable SenseOn to be effective. This is not a pre-sales or demo role. You support both new business engagements and existing customer renewals, providing the technical depth to prove and quantify the value SenseOn delivers and ensuring that as deployments grow more complex with expanded log ingestion, customers always feel in safe hands. You will report to the VP of Technology and work closely with the Security Operations, Customer Success, Sales Engineering, and Product teams. Location: UK Travel: Approx 25% to customer sites Experience: 3 to 6 years+ The Role in Detail You will own the full technical lifecycle of a customer deployment, from initial architecture review through to live production, ongoing integration development, and long term platform health. You will build cloud integrations. You will write and tune detection rules in SIEMs. You will debug customer environments. And you will ensure that every customer you touch becomes a SenseOn advocate. Your impact does not stop at deployment. As SenseOn's log ingestion capability grows and deployments become more complex and wide ranging, you will work with the Customer Success team to build the technical business cases that win renewals and drive expansion bringing the same engineering rigour to proving value as you do to deploying it. Responsibilities Customer Deployment & Technical Success Lead end-to-end SenseOn platform deployments and complex log ingestion rollouts without customer disruption. Conduct architectural reviews to define deployment strategies and identify integration opportunities. Own the post sale technical relationship into steady state operations, delivering against technical success criteria tied to quantifiable security outcomes. Travel to UK and international customer sites approximately 25% of the time. Renewal Support & Customer Value Quantification Provide the technical evidence base and build business cases for renewals and expansions, translating platform telemetry and incident response data into clear customer outcomes. Proactively health check environments, close technical gaps, and resolve visibility issues ahead of renewal conversations. Collaborate with Sales Engineering to ensure continuity from pre sale technical validation through to post sale deployment. Software Development & Integration Engineering Write production quality software to build and maintain integrations across third party security tools, SIEMs, identity platforms, and AWS, Azure, and GCP environments. Contribute reusable connectors to the SenseOn integration library and create custom automation to optimise security operations workflows. Work confidently across backend languages (Python preferred; Go, JavaScript, and Bash valued) utilising RESTful APIs, webhooks, and data pipeline patterns. Detection Engineering & SIEM Development Write, tune, and maintain high fidelity, low noise SIEM detection rules by translating threat intelligence and attacker behaviour. Map coverage to the MITRE ATT&CK framework to address visibility gaps, and develop new detection logic with Security Operations. Iterate on rules post deployment to reduce false positives, and provide expert guidance to customers regarding their detection strategy and risk posture. Customer Success & Relationship Management Develop deep relationships with customer security leadership, acting as a trusted adviser across their security architecture. Proactively mitigate adoption risks, resolve deployment blockers, and conduct structured onboarding from platform fundamentals to advanced threat hunting. Monitor deployed environment health, address technical drift, and translate field experience into actionable product feedback internally. Pre Sales & Proof of Value Support Partner with Sales Engineering on Proof of Value (POV) engagements, providing technical credibility to differentiate SenseOn. Contribute to bespoke technical demonstrations, architecture proposals, and solution designs for complex prospects transitioning from legacy platforms or traditional SIEM solutions. Product & Analytics Feedback Act as a direct conduit between the field and product teams, raising well evidenced bugs, feature requests, and detection improvements. Participate in User Acceptance Testing (UAT) for new platform releases to provide field informed quality assurance. Identify cross environment patterns to highlight new detection opportunities or platform capability gaps for the analytics backlog. Essential 3-6 years of experience in a technical cybersecurity role, ideally spanning Security Operations and an engineering or customer facing function. Demonstrable software development capability, you must be able to write, review, and deploy code in a production context. Python is strongly preferred. Proven ability to write and tune detection rules in one or more SIEM platforms (e.g. Splunk, Microsoft Sentinel, Elastic, QRadar). You are comfortable translating threat scenarios into detection logic and iterating on rule quality based on operational feedback. Hands on experience building and troubleshooting integrations with cloud platforms (AWS, Azure, or GCP), REST APIs, and common security tooling including SIEMs, EDRs, XDRs, and NDRs. Strong understanding of networking fundamentals, operating systems (Windows and Linux), and identity and access management concepts. Experience deploying or operating software in containerised environments (Docker, Kubernetes). Excellent written and verbal communication skills, with the ability to engage credibly with both technical engineers and non technical stakeholders up to C-level. Based in the United Kingdom with the right to work in the UK. Highly Desirable Prior experience in a Forward Deployed Engineer, Customer Success Engineer, or Technical Account Manager role at a security or SaaS company. Experience supporting customer renewal engagements from a technical perspective - building business cases, evidencing value, and closing coverage gaps ahead of renewal conversations. Familiarity with log ingestion at scale, including the operational and architectural challenges of onboarding diverse log sources across complex enterprise environments. Experience with CI/CD pipelines, Infrastructure as Code (Terraform, Ansible), and modern DevSecOps practices. Exposure to machine learning or AI driven security analytics platforms. Relevant industry certifications such as CISSP, AWS Solutions Architect, GCIH, or equivalent. Experience supporting or replacing incumbent security platforms (e.g. Darktrace, CrowdStrike, Splunk) within enterprise customer transitions. What Success Looks Like Within your first 90 days, you will have completed at least one end to end customer deployment, established yourself as the technical lead for a portfolio of accounts, and shipped at least one integration adopted by a customer in production. Within 6 months, you will be leading complex multi environment deployments independently, supporting renewal engagements with clear technical business cases, and have contributed meaningful detection rules and integrations to SenseOn's shared library. Within 12 months, you will be shaping how SenseOn approaches deployment and customer value quantification at scale, informing product roadmap decisions, mentoring more junior team members, and owning the technical success of some of SenseOn's most strategic accounts. What We Offer Competitive salary commensurate with experience Unlimited holiday allowance Hybrid working model with flexibility around customer commitments Bi annual career progression review Personal learning and development budget MacBook and all necessary tooling provided Enhanced pension scheme Private healthcare through Vitality, with rewards and discounts Belong at SenseOn At SenseOn, we define Talent as employees who are customer obsessed and pursuing excellence. They are courageous, good people, doing good things, powering our mission. If this resonates with you, then you will always belong. Nothing else matters. We are an Equal Opportunity Employer We are an Equal Opportunity Employer and do not discriminate against any qualified employee or applicant. Difference is what makes us stronger.
Apr 03, 2026
Full time
SenseOn is looking for a Forward Deployed Engineer to sit at the intersection of security engineering, software development, and customer success. This is one of the broadest and most impactful technical roles in the business, you will be the person who makes SenseOn work, in the real world, for real customers. As a Forward Deployed Engineer, you will embed directly with customers to deploy and configure the SenseOn platform, develop custom integrations, and ensure that every customer derives measurable security value as quickly as possible. You will own the technical outcome, supporting technical sales and working on technical delivery to enable SenseOn to be effective. This is not a pre-sales or demo role. You support both new business engagements and existing customer renewals, providing the technical depth to prove and quantify the value SenseOn delivers and ensuring that as deployments grow more complex with expanded log ingestion, customers always feel in safe hands. You will report to the VP of Technology and work closely with the Security Operations, Customer Success, Sales Engineering, and Product teams. Location: UK Travel: Approx 25% to customer sites Experience: 3 to 6 years+ The Role in Detail You will own the full technical lifecycle of a customer deployment, from initial architecture review through to live production, ongoing integration development, and long term platform health. You will build cloud integrations. You will write and tune detection rules in SIEMs. You will debug customer environments. And you will ensure that every customer you touch becomes a SenseOn advocate. Your impact does not stop at deployment. As SenseOn's log ingestion capability grows and deployments become more complex and wide ranging, you will work with the Customer Success team to build the technical business cases that win renewals and drive expansion bringing the same engineering rigour to proving value as you do to deploying it. Responsibilities Customer Deployment & Technical Success Lead end-to-end SenseOn platform deployments and complex log ingestion rollouts without customer disruption. Conduct architectural reviews to define deployment strategies and identify integration opportunities. Own the post sale technical relationship into steady state operations, delivering against technical success criteria tied to quantifiable security outcomes. Travel to UK and international customer sites approximately 25% of the time. Renewal Support & Customer Value Quantification Provide the technical evidence base and build business cases for renewals and expansions, translating platform telemetry and incident response data into clear customer outcomes. Proactively health check environments, close technical gaps, and resolve visibility issues ahead of renewal conversations. Collaborate with Sales Engineering to ensure continuity from pre sale technical validation through to post sale deployment. Software Development & Integration Engineering Write production quality software to build and maintain integrations across third party security tools, SIEMs, identity platforms, and AWS, Azure, and GCP environments. Contribute reusable connectors to the SenseOn integration library and create custom automation to optimise security operations workflows. Work confidently across backend languages (Python preferred; Go, JavaScript, and Bash valued) utilising RESTful APIs, webhooks, and data pipeline patterns. Detection Engineering & SIEM Development Write, tune, and maintain high fidelity, low noise SIEM detection rules by translating threat intelligence and attacker behaviour. Map coverage to the MITRE ATT&CK framework to address visibility gaps, and develop new detection logic with Security Operations. Iterate on rules post deployment to reduce false positives, and provide expert guidance to customers regarding their detection strategy and risk posture. Customer Success & Relationship Management Develop deep relationships with customer security leadership, acting as a trusted adviser across their security architecture. Proactively mitigate adoption risks, resolve deployment blockers, and conduct structured onboarding from platform fundamentals to advanced threat hunting. Monitor deployed environment health, address technical drift, and translate field experience into actionable product feedback internally. Pre Sales & Proof of Value Support Partner with Sales Engineering on Proof of Value (POV) engagements, providing technical credibility to differentiate SenseOn. Contribute to bespoke technical demonstrations, architecture proposals, and solution designs for complex prospects transitioning from legacy platforms or traditional SIEM solutions. Product & Analytics Feedback Act as a direct conduit between the field and product teams, raising well evidenced bugs, feature requests, and detection improvements. Participate in User Acceptance Testing (UAT) for new platform releases to provide field informed quality assurance. Identify cross environment patterns to highlight new detection opportunities or platform capability gaps for the analytics backlog. Essential 3-6 years of experience in a technical cybersecurity role, ideally spanning Security Operations and an engineering or customer facing function. Demonstrable software development capability, you must be able to write, review, and deploy code in a production context. Python is strongly preferred. Proven ability to write and tune detection rules in one or more SIEM platforms (e.g. Splunk, Microsoft Sentinel, Elastic, QRadar). You are comfortable translating threat scenarios into detection logic and iterating on rule quality based on operational feedback. Hands on experience building and troubleshooting integrations with cloud platforms (AWS, Azure, or GCP), REST APIs, and common security tooling including SIEMs, EDRs, XDRs, and NDRs. Strong understanding of networking fundamentals, operating systems (Windows and Linux), and identity and access management concepts. Experience deploying or operating software in containerised environments (Docker, Kubernetes). Excellent written and verbal communication skills, with the ability to engage credibly with both technical engineers and non technical stakeholders up to C-level. Based in the United Kingdom with the right to work in the UK. Highly Desirable Prior experience in a Forward Deployed Engineer, Customer Success Engineer, or Technical Account Manager role at a security or SaaS company. Experience supporting customer renewal engagements from a technical perspective - building business cases, evidencing value, and closing coverage gaps ahead of renewal conversations. Familiarity with log ingestion at scale, including the operational and architectural challenges of onboarding diverse log sources across complex enterprise environments. Experience with CI/CD pipelines, Infrastructure as Code (Terraform, Ansible), and modern DevSecOps practices. Exposure to machine learning or AI driven security analytics platforms. Relevant industry certifications such as CISSP, AWS Solutions Architect, GCIH, or equivalent. Experience supporting or replacing incumbent security platforms (e.g. Darktrace, CrowdStrike, Splunk) within enterprise customer transitions. What Success Looks Like Within your first 90 days, you will have completed at least one end to end customer deployment, established yourself as the technical lead for a portfolio of accounts, and shipped at least one integration adopted by a customer in production. Within 6 months, you will be leading complex multi environment deployments independently, supporting renewal engagements with clear technical business cases, and have contributed meaningful detection rules and integrations to SenseOn's shared library. Within 12 months, you will be shaping how SenseOn approaches deployment and customer value quantification at scale, informing product roadmap decisions, mentoring more junior team members, and owning the technical success of some of SenseOn's most strategic accounts. What We Offer Competitive salary commensurate with experience Unlimited holiday allowance Hybrid working model with flexibility around customer commitments Bi annual career progression review Personal learning and development budget MacBook and all necessary tooling provided Enhanced pension scheme Private healthcare through Vitality, with rewards and discounts Belong at SenseOn At SenseOn, we define Talent as employees who are customer obsessed and pursuing excellence. They are courageous, good people, doing good things, powering our mission. If this resonates with you, then you will always belong. Nothing else matters. We are an Equal Opportunity Employer We are an Equal Opportunity Employer and do not discriminate against any qualified employee or applicant. Difference is what makes us stronger.
Staff MLOps Engineer (AI Infrastructure & ML Platforms) London (Hybrid) Up to £150,000 We've partnered with a fast?growing, Private Equity-backed SaaS company based in Central London that's building the next generation of AI infrastructure to support intelligent products and ML systems at scale. They're looking for an experienced Staff MLOps / AI Infrastructure Engineer to help design, build, and operate the infrastructure that supports training, deployment, monitoring, and scaling of AI models across the organisation's portfolio of products. This is a high?impact role within a new AI platforms squad, working with modern toolchains across cloud environments, LLMOps ecosystems, and DevOps?centric engineering practises. What you'll be doing As their Staff MLOps Engineer, you'll be responsible for building and owning core AI/ML infrastructure, ensuring models and systems operate reliably and efficiently in production: Design and maintain end-to-end MLOps systems for training, deployment, and monitoring Build and manage CI/CD pipelines for ML model lifecycle automation Collaborate with AI/ML, backend, and DevOps teams to deliver scalable, secure infrastructure Implement observability and monitoring for model performance, reliability, and data drift Manage cloud and container infrastructure (AWS, Terraform, Kubernetes, Docker, serverless) Define infrastructure standards and best practices, with clear documentation Mentor engineers on MLOps and DevOps tools, workflows, and practices What they're looking for Strong experience in MLOps, AI infrastructure, or DevOps for ML systems Skilled in Python, cloud platforms, CI/CD, and container orchestration Experience with ML frameworks and tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar) Passion for building scalable, reliable, production ML systems What's in it for you Salary: up to £150,000 Work on a greenfield AI infrastructure platform that enables intelligent products Hybrid working: typically two days per week in Central London Benefits: 25 days annual leave, enhanced pension plan, medical insurance, paid parental leave, and more Join a rapidly growing team with clear career progression opportunities If you're passionate about building robust, scalable MLOps and AI infrastructure for large?scale ML systems, and enjoy collaborating across engineering and product teams, this is an excellent opportunity to make a lasting impact. Apply now to find out more.
Apr 03, 2026
Full time
Staff MLOps Engineer (AI Infrastructure & ML Platforms) London (Hybrid) Up to £150,000 We've partnered with a fast?growing, Private Equity-backed SaaS company based in Central London that's building the next generation of AI infrastructure to support intelligent products and ML systems at scale. They're looking for an experienced Staff MLOps / AI Infrastructure Engineer to help design, build, and operate the infrastructure that supports training, deployment, monitoring, and scaling of AI models across the organisation's portfolio of products. This is a high?impact role within a new AI platforms squad, working with modern toolchains across cloud environments, LLMOps ecosystems, and DevOps?centric engineering practises. What you'll be doing As their Staff MLOps Engineer, you'll be responsible for building and owning core AI/ML infrastructure, ensuring models and systems operate reliably and efficiently in production: Design and maintain end-to-end MLOps systems for training, deployment, and monitoring Build and manage CI/CD pipelines for ML model lifecycle automation Collaborate with AI/ML, backend, and DevOps teams to deliver scalable, secure infrastructure Implement observability and monitoring for model performance, reliability, and data drift Manage cloud and container infrastructure (AWS, Terraform, Kubernetes, Docker, serverless) Define infrastructure standards and best practices, with clear documentation Mentor engineers on MLOps and DevOps tools, workflows, and practices What they're looking for Strong experience in MLOps, AI infrastructure, or DevOps for ML systems Skilled in Python, cloud platforms, CI/CD, and container orchestration Experience with ML frameworks and tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar) Passion for building scalable, reliable, production ML systems What's in it for you Salary: up to £150,000 Work on a greenfield AI infrastructure platform that enables intelligent products Hybrid working: typically two days per week in Central London Benefits: 25 days annual leave, enhanced pension plan, medical insurance, paid parental leave, and more Join a rapidly growing team with clear career progression opportunities If you're passionate about building robust, scalable MLOps and AI infrastructure for large?scale ML systems, and enjoy collaborating across engineering and product teams, this is an excellent opportunity to make a lasting impact. Apply now to find out more.
A leading UK recruitment agency is seeking an experienced Contract Data Engineer to support an automation initiative. This role focuses on building scalable data solutions and requires expertise in AWS data services like Redshift and Glue. You will design and maintain data pipelines and implement ETL processes. Ideal candidates have extensive experience as Data Engineers, strong SQL skills, and are familiar with Python and Terraform. This position offers a contract for 6 months at £410 per day, with in-office work required in Belfast or London.
Apr 03, 2026
Full time
A leading UK recruitment agency is seeking an experienced Contract Data Engineer to support an automation initiative. This role focuses on building scalable data solutions and requires expertise in AWS data services like Redshift and Glue. You will design and maintain data pipelines and implement ETL processes. Ideal candidates have extensive experience as Data Engineers, strong SQL skills, and are familiar with Python and Terraform. This position offers a contract for 6 months at £410 per day, with in-office work required in Belfast or London.
Security Engineer - Product & Production Infrastructure Remote - United Kingdom Product Security Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proventrack record of success and a culture that values world-class talent. Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're the leading player in a massive and growing market, but it's still early enough for you to make a significant impact. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster. SUMMARY Wiz is looking for a Security Engineer for Product & Production Infrastructure who has experience performing security reviews, vulnerability management, and detection and response operations in cloud-native environments. You'll get to collaborate with our software development and DevOps teams to secure Wiz's products, CI/CD infrastructure, and production infrastructure. You'll also have the opportunity to influence our product roadmap by utilizing Wiz-for-Wiz to assess, monitor, and harden our environments. WHAT YOU'LL DO Lead threat modeling and security review exercises across Wiz's production and CI/CD environments - identifying and mitigating risks in our products and the cloud services that support them Drive vulnerability management and remediation efforts - prioritizing issues, implementing mitigations, and designing strategic preventative controls Extend our detection and response capabilities - building scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents Build deep functional partnerships with Wiz's engineering and operations teams - helping them deliver secure by design solutions WHAT YOU'LL BRING 5+ years of experience in security engineering or security operations work in cloud environments, with a focus on a combination of the below: AWS platforms and services (we will also consider equivalent experience in Azure and GCP) Kubernetes (AWS EKS) and container infrastructure IAM and managing cloud identities at-scale Secure development and application of IAC solutions (Terraform, Helm) Cloud-native observability and management tools Development experience in Go, Python and Rust PREFERRED QUALIFICATIONS Bachelor's degree in computer science or a related field and / or candidates with equivalent job experience in lieu of a degree Experience working with remote, globally distributed teams Experience working in organizations that develop software and / or operate managed infrastructure and technology services for their own customers Experience with CNAPP, CSPM, or CIEM solutions Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Apr 03, 2026
Full time
Security Engineer - Product & Production Infrastructure Remote - United Kingdom Product Security Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proventrack record of success and a culture that values world-class talent. Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're the leading player in a massive and growing market, but it's still early enough for you to make a significant impact. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster. SUMMARY Wiz is looking for a Security Engineer for Product & Production Infrastructure who has experience performing security reviews, vulnerability management, and detection and response operations in cloud-native environments. You'll get to collaborate with our software development and DevOps teams to secure Wiz's products, CI/CD infrastructure, and production infrastructure. You'll also have the opportunity to influence our product roadmap by utilizing Wiz-for-Wiz to assess, monitor, and harden our environments. WHAT YOU'LL DO Lead threat modeling and security review exercises across Wiz's production and CI/CD environments - identifying and mitigating risks in our products and the cloud services that support them Drive vulnerability management and remediation efforts - prioritizing issues, implementing mitigations, and designing strategic preventative controls Extend our detection and response capabilities - building scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents Build deep functional partnerships with Wiz's engineering and operations teams - helping them deliver secure by design solutions WHAT YOU'LL BRING 5+ years of experience in security engineering or security operations work in cloud environments, with a focus on a combination of the below: AWS platforms and services (we will also consider equivalent experience in Azure and GCP) Kubernetes (AWS EKS) and container infrastructure IAM and managing cloud identities at-scale Secure development and application of IAC solutions (Terraform, Helm) Cloud-native observability and management tools Development experience in Go, Python and Rust PREFERRED QUALIFICATIONS Bachelor's degree in computer science or a related field and / or candidates with equivalent job experience in lieu of a degree Experience working with remote, globally distributed teams Experience working in organizations that develop software and / or operate managed infrastructure and technology services for their own customers Experience with CNAPP, CSPM, or CIEM solutions Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
MCS Group is working with an AI enabled software house who is seeking an experienced Contract Data Engineer to support a key automation initiative. This role will focus on building scalable automation across their data platform while supporting migration and modernisation of existing data infrastructure. This is an excellent contract/project for someone who has previously worked on data migration, cloud transformation, or platform modernisation projects, and enjoys building robust, automated data solutions in a cloud-first environment. The Role Design, build, and maintain scalable data pipelines and automation for data ingestion, transformation, and delivery. Develop and optimise SQL-based data models across large relational databases. Build and manage AWS-based data infrastructure using services such as Redshift, Glue, Lambda, S3, and Athena. Implement and maintain ETL/ELT pipelines to integrate data from multiple systems. Support data platform migration and modernisation initiatives. Ensure high standards of data quality, performance optimisation, and governance. Contribute to DevOps and automation practices, including infrastructure-as-code and CI/CD where appropriate. The Person Extensive proven experience as a Data Engineer is essential. Strong hands-on expertise with large relational databases and advanced SQL optimisation. Experience working with AWS data services is essential (including Redshift, Glue, Lambda, S3, and Athena.) Strong experience building ETL/ELT pipelines and data integration workflows. Experience with Python, Spark, or other data processing technologies. Familiarity with Terraform, CI/CD pipelines, and infrastructure-as-code practices. IR35: Outside Duration: 6 months Rate: £410 per day Location: Belfast or London - Please note, in-office working is required in either location To speak in absolute confidence about this opportunity please send an up-to-date CV via the link provided or contact Jill Johnston, Head of IT Contracts, at MCS Group Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current jobs MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request. Not all agencies are the same MCS Group are passionate about providing a first-class service to all our customers and have an independent review rating of 4.9 stars on Google.
Apr 03, 2026
Full time
MCS Group is working with an AI enabled software house who is seeking an experienced Contract Data Engineer to support a key automation initiative. This role will focus on building scalable automation across their data platform while supporting migration and modernisation of existing data infrastructure. This is an excellent contract/project for someone who has previously worked on data migration, cloud transformation, or platform modernisation projects, and enjoys building robust, automated data solutions in a cloud-first environment. The Role Design, build, and maintain scalable data pipelines and automation for data ingestion, transformation, and delivery. Develop and optimise SQL-based data models across large relational databases. Build and manage AWS-based data infrastructure using services such as Redshift, Glue, Lambda, S3, and Athena. Implement and maintain ETL/ELT pipelines to integrate data from multiple systems. Support data platform migration and modernisation initiatives. Ensure high standards of data quality, performance optimisation, and governance. Contribute to DevOps and automation practices, including infrastructure-as-code and CI/CD where appropriate. The Person Extensive proven experience as a Data Engineer is essential. Strong hands-on expertise with large relational databases and advanced SQL optimisation. Experience working with AWS data services is essential (including Redshift, Glue, Lambda, S3, and Athena.) Strong experience building ETL/ELT pipelines and data integration workflows. Experience with Python, Spark, or other data processing technologies. Familiarity with Terraform, CI/CD pipelines, and infrastructure-as-code practices. IR35: Outside Duration: 6 months Rate: £410 per day Location: Belfast or London - Please note, in-office working is required in either location To speak in absolute confidence about this opportunity please send an up-to-date CV via the link provided or contact Jill Johnston, Head of IT Contracts, at MCS Group Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current jobs MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request. Not all agencies are the same MCS Group are passionate about providing a first-class service to all our customers and have an independent review rating of 4.9 stars on Google.
Hungry for a challenge? That's good, because at Just Eat (JET) we believe everything is possible, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. Our mission? To empower every food moment around the world, whether it's through customer service, coding or couriers. The opportunity Senior Engineer opportunity within our Enterprise AI team. Working with a group of other Engineers to design, build, and deploy cutting edge AI powered solutions that drive business value across the organisation. The Senior Engineer is responsible for delivering a roadmap of improvements, focusing on the full lifecycle of AI applications, from initial prototyping to production grade deployments. Key ingredients Design, develop, and deploy high quality, scalable software solutions, focusing on AI enabled applications and infrastructure. Lead and participate in technical projects and deployments of AI systems. Provide guidance and mentoring to other team members on best practices in AI engineering. Use best practices (e.g., MLOps, AIOps) to improve products/services and processes related to AI. Optimise existing model serving and data pipelines to meet changing performance and security requirements. Hold requirements gathering sessions with business stakeholders and data science teams. Lead functional projects or work streams focused on AI infrastructure and tooling. What you'll bring Experience working with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery). Strong experience in Python and fluency in another language. Knowledge of Infrastructure as Code tools (e.g., CloudFormation, Terraform, Ansible, Serverless Framework). Enjoy automating processes. Knowledge of containers (Docker, Container Orchestration like Kubernetes/ECS/GKE). A genuine interest in and at least foundational experience with AI/ML concepts and technologies, demonstrating an eagerness to grow into a specialised AI Engineering role. Proven track record of delivering high quality work and driving forward best practices in software engineering. Stays up to date with new technology in the AI space. Nice to have Direct experience with advanced AI tools and platforms, such as Amazon Bedrock or Google Vertex AI. Familiarity with frameworks for building complex, multi step generative AI applications, like LangGraph. Experience with Agent to Agent (A2A) communication or coordination patterns in AI systems. Hands on experience leveraging AI powered development tools like GitHub Copilot or similar platforms (e.g., Kiro, Cursor) to enhance productivity and code generation. Knowledge of or experience with MCP to integrate LLMs with external data sources and tools. At JET, this is on the menu Our teams forge connections internally and work with some of the best known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else is cooking? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now!
Apr 03, 2026
Full time
Hungry for a challenge? That's good, because at Just Eat (JET) we believe everything is possible, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. Our mission? To empower every food moment around the world, whether it's through customer service, coding or couriers. The opportunity Senior Engineer opportunity within our Enterprise AI team. Working with a group of other Engineers to design, build, and deploy cutting edge AI powered solutions that drive business value across the organisation. The Senior Engineer is responsible for delivering a roadmap of improvements, focusing on the full lifecycle of AI applications, from initial prototyping to production grade deployments. Key ingredients Design, develop, and deploy high quality, scalable software solutions, focusing on AI enabled applications and infrastructure. Lead and participate in technical projects and deployments of AI systems. Provide guidance and mentoring to other team members on best practices in AI engineering. Use best practices (e.g., MLOps, AIOps) to improve products/services and processes related to AI. Optimise existing model serving and data pipelines to meet changing performance and security requirements. Hold requirements gathering sessions with business stakeholders and data science teams. Lead functional projects or work streams focused on AI infrastructure and tooling. What you'll bring Experience working with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery). Strong experience in Python and fluency in another language. Knowledge of Infrastructure as Code tools (e.g., CloudFormation, Terraform, Ansible, Serverless Framework). Enjoy automating processes. Knowledge of containers (Docker, Container Orchestration like Kubernetes/ECS/GKE). A genuine interest in and at least foundational experience with AI/ML concepts and technologies, demonstrating an eagerness to grow into a specialised AI Engineering role. Proven track record of delivering high quality work and driving forward best practices in software engineering. Stays up to date with new technology in the AI space. Nice to have Direct experience with advanced AI tools and platforms, such as Amazon Bedrock or Google Vertex AI. Familiarity with frameworks for building complex, multi step generative AI applications, like LangGraph. Experience with Agent to Agent (A2A) communication or coordination patterns in AI systems. Hands on experience leveraging AI powered development tools like GitHub Copilot or similar platforms (e.g., Kiro, Cursor) to enhance productivity and code generation. Knowledge of or experience with MCP to integrate LLMs with external data sources and tools. At JET, this is on the menu Our teams forge connections internally and work with some of the best known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else is cooking? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now!
We're an award-winning consultancy known for delivering exceptional products and services through technology. We work closely with organisations to help them accelerate value delivery and create outstanding customer experiences. Our purpose is simple: to empower organisations to make a real difference for people, society, and the planet through technology that's efficient, user-friendly, and solves problems fast. At Burendo, we believe that together, we can achieve incredible things. What sets us apart is how we work. We pride ourselves on having a pragmatic attitude to delivery-we think big, plan practically, adapt quickly, and always focus on results, no matter how complex the challenge. We're passionate about making great things happen by embracing innovation, challenging the status quo, and fostering collaboration at every step. At Burendo, caring for people is at the heart of what we do. We value partnerships, listen to different viewpoints, and believe in treating everyone fairly. And, we love to share what we learn-using our expertise to help others grow and empowering organisations to succeed in the long term. Great engineers come from many different backgrounds and are specialists in many different areas. At Burendo, we've got some exciting new projects kicking off, and we're looking for people who want to contribute across the tech stack and be involved in all stages of the software development lifecycle. These are the things we value most at Burendo, we can teach skills, but our behaviours forge the culture we strive for. A passion for engineering and a desire to keep learning A focus on writing clear, concise code that is easy to maintain An ability to be pragmatic when required and avoid unnecessary "gold-plating" An understanding that quality is everyone's responsibility and a strong desire to test your own code Comfortable working with others in pairing or mobbing scenarios A good communicator who shares our values of openness and respect A DevOps mentality - meaning that you don't want to chuck code over the fence, and you are keen to be involved right through to delivering the code to the customer A desire to build up and see others succeed, rather than wanting to be the Hero Confidence to act as a technical authority, influencing decisions across teams and stakeholders Ability to balance short-term delivery with long-term technical strategy and sustainability We believe every engineer should have a fundamental understanding of development, infrastructure, and testing and therefore you'll need at least some of these skills to help you pick the role up quickly. Burendo is invested in the growth of our consultants and provide a healthy self-development budget you can use to grow in the areas mentioned below, or any other of your choosing! The must haves: Fundamental coding experience at least two of the following languages: Python, JavaScript, Node.js, C#, Java Experience working within cloud environments, specifically AWS or Azure (Or both!) Fundamental understanding of infrastructure-as-code with Terraform or an equivalent technology Experience working with CI/CD pipelines such as GitHub Actions, GitLabCI, Jenkins or Azure DevOps A good understanding of and experience working with agile methodologies Experience working in supporting a live product Experience adapting to different tech stacks Understanding of and working experience with source control, particularly Git Experience with database technologies of some flavour Experience mentoring, managing and up-skilling engineers Experience providing technical leadership across teams or programmes of work Experience shaping architectural decisions and guiding engineering best practice Ability to engage with senior stakeholders and translate business goals into technical outcomes And it would be great if you have any of these: Experience with no-SQL technologies such as MongoDB Experience of building CI/CD pipelines with tools such as GitHub Actions, GitLabCI, Jenkins or Azure DevOps These are the little bit extra, cherry-on-top skills that will help you stand out. Still give us a shout if you haven't currently got these skills though! Experience working in the public sector and healthcare industry Experience working in a technology or consulting company Involvement in community building via blogs, online sites, meetups, or other means 25 days Annual Leave (plus bank holidays) An additional day of paid leave for celebrations 1 additional day of holiday after 2 years' service (26 days total) and another 2 days after 5 years (28 days total) Monthly Wellness Allowance Annual Learning and Development Allowance Paid time off for Life Events Matched Employer Contributed Pension (5%) Life assurance based on 4 x your salary Access to an Employee Assistance Programme Enhanced Family Leave Enhanced company sick pay A range of optional Salary Sacrifice benefits (inc EV Scheme, Home and Tech, Cycle to Work and Pension) Exciting calendar of Burendo social events and activities We are committed to promoting equal opportunities in employment. You and any job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, nationality, ethnic or national origin, religion or belief, sex or sexual orientation As a proud supporter of the Armed Forces Covenant, we welcome all applications from members of the Armed Forces Community.
Apr 03, 2026
Full time
We're an award-winning consultancy known for delivering exceptional products and services through technology. We work closely with organisations to help them accelerate value delivery and create outstanding customer experiences. Our purpose is simple: to empower organisations to make a real difference for people, society, and the planet through technology that's efficient, user-friendly, and solves problems fast. At Burendo, we believe that together, we can achieve incredible things. What sets us apart is how we work. We pride ourselves on having a pragmatic attitude to delivery-we think big, plan practically, adapt quickly, and always focus on results, no matter how complex the challenge. We're passionate about making great things happen by embracing innovation, challenging the status quo, and fostering collaboration at every step. At Burendo, caring for people is at the heart of what we do. We value partnerships, listen to different viewpoints, and believe in treating everyone fairly. And, we love to share what we learn-using our expertise to help others grow and empowering organisations to succeed in the long term. Great engineers come from many different backgrounds and are specialists in many different areas. At Burendo, we've got some exciting new projects kicking off, and we're looking for people who want to contribute across the tech stack and be involved in all stages of the software development lifecycle. These are the things we value most at Burendo, we can teach skills, but our behaviours forge the culture we strive for. A passion for engineering and a desire to keep learning A focus on writing clear, concise code that is easy to maintain An ability to be pragmatic when required and avoid unnecessary "gold-plating" An understanding that quality is everyone's responsibility and a strong desire to test your own code Comfortable working with others in pairing or mobbing scenarios A good communicator who shares our values of openness and respect A DevOps mentality - meaning that you don't want to chuck code over the fence, and you are keen to be involved right through to delivering the code to the customer A desire to build up and see others succeed, rather than wanting to be the Hero Confidence to act as a technical authority, influencing decisions across teams and stakeholders Ability to balance short-term delivery with long-term technical strategy and sustainability We believe every engineer should have a fundamental understanding of development, infrastructure, and testing and therefore you'll need at least some of these skills to help you pick the role up quickly. Burendo is invested in the growth of our consultants and provide a healthy self-development budget you can use to grow in the areas mentioned below, or any other of your choosing! The must haves: Fundamental coding experience at least two of the following languages: Python, JavaScript, Node.js, C#, Java Experience working within cloud environments, specifically AWS or Azure (Or both!) Fundamental understanding of infrastructure-as-code with Terraform or an equivalent technology Experience working with CI/CD pipelines such as GitHub Actions, GitLabCI, Jenkins or Azure DevOps A good understanding of and experience working with agile methodologies Experience working in supporting a live product Experience adapting to different tech stacks Understanding of and working experience with source control, particularly Git Experience with database technologies of some flavour Experience mentoring, managing and up-skilling engineers Experience providing technical leadership across teams or programmes of work Experience shaping architectural decisions and guiding engineering best practice Ability to engage with senior stakeholders and translate business goals into technical outcomes And it would be great if you have any of these: Experience with no-SQL technologies such as MongoDB Experience of building CI/CD pipelines with tools such as GitHub Actions, GitLabCI, Jenkins or Azure DevOps These are the little bit extra, cherry-on-top skills that will help you stand out. Still give us a shout if you haven't currently got these skills though! Experience working in the public sector and healthcare industry Experience working in a technology or consulting company Involvement in community building via blogs, online sites, meetups, or other means 25 days Annual Leave (plus bank holidays) An additional day of paid leave for celebrations 1 additional day of holiday after 2 years' service (26 days total) and another 2 days after 5 years (28 days total) Monthly Wellness Allowance Annual Learning and Development Allowance Paid time off for Life Events Matched Employer Contributed Pension (5%) Life assurance based on 4 x your salary Access to an Employee Assistance Programme Enhanced Family Leave Enhanced company sick pay A range of optional Salary Sacrifice benefits (inc EV Scheme, Home and Tech, Cycle to Work and Pension) Exciting calendar of Burendo social events and activities We are committed to promoting equal opportunities in employment. You and any job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, nationality, ethnic or national origin, religion or belief, sex or sexual orientation As a proud supporter of the Armed Forces Covenant, we welcome all applications from members of the Armed Forces Community.
Location: Swindon, Wiltshire, GB, SN5 6PB Location: Swindon, Wiltshire, UK RWE Supply & Trading GmbH Start date: July 2026 Are you looking to kickstart your career at a business where you can really make an impact? Whether we're delivering power to millions, trading in new areas across the globe or leading the rapid growth of offshore wind, our world-class IT puts us at the forefront of the energy industry. Join our RWEST UK Apprenticeship Programme and you can be part of it. You'll spend 24 months studying towards the Level 4 DevOps Engineer Apprenticeship Standard . You will get the chance to grow a career within the IT team of a large global organisation. About the role During your time on the apprenticeship, you'll grow to own several responsibilities. These can range from developing and defining architecture, implementing monitoring with alerts or automation on manual tasks, even being a role model for the DevOps culture of 'you build it, you run it'. Some further responsibilities include: Implement scripting and coding in a variety of languages, including C#, Java, and Python Infrastructure as Code (IaC): Use Terraform to provision and manage cloud resources (e.g., EC2, S3, RDS on AWS) in a repeatable, version-controlled manner. CI/CD Pipeline Management: Assist in building and maintaining automated build and release pipelines within Azure DevOps to streamline software delivery. Cloud Operations: Support the day-to-day management of AWS and Azure environments, including monitoring system health using tools like CloudWatch or Azure Monitor. Automation: Write scripts in Python, Bash, or PowerShell to automate repetitive tasks and improve operational efficiency. Troubleshooting: Identify and resolve bugs within deployment scripts and investigate infrastructure-related incidents under senior guidance. Job requirements and experience Enthusiasm and drive to complete your apprenticeship programme and seek out development opportunities within a supportive team. A passion & enthusiasm for IT A curious, analytical, and problem-solving mindset with good attention to detail. Good written and verbal communication skills to ensure effective dialogue with business stakeholders, suppliers, and partners The ability to work both as an individual, as well as with others. The ability to balance work, study, and other life commitments (you will be provided with the appropriate support and study time to achieve this) Willingness for occasional travel, as required, to support the role. The entry requirements for this programme are as follows: 5 GCSEs (or equivalent) at grades 4+ (A-C) in any subject, including maths and English A Level in STEM subject OR BTEC Diploma in STEM subject From here, you'll have a community of support. At RWE, we have an energy to be inclusive and believe diversity drives success. Reaching your full potential means being able to bring your whole self to work and being respected for the different opinions, strengths and experience you bring. We'll do everything we can to help you fulfil your potential with us. We offer a wide variety of initiatives to support you in and out of work, including: Competitive salary with annual discretionary bonus, ensuring rewarding efforts 25 days of annual leave plus public holidays access to our Employee Assistance Program, providing you with confidential help for any work, health, or life matters Progressive family-friendly policies that support an inclusive workplace Modern offices and trading floors located in prime areas, fully equipped with the latest technology An open and diverse company culture that promotes collaboration and engagement Apply before 31st March 2025 with just a few clicks. Please note that it is mandatory to upload your CV and cover letter in English. Your CV should include your most recent A-Level (or equivalent) grades. While not required, we'd also be happy to receive a cover letter. We value diversity and therefore welcome all applications - regardless of gender, disability, nationality, ethnic and social origin, religion/belief, age, sexual orientation, and identity. About us RWE Supply & Trading is our connection to the world's energy markets. With headquarters in Essen, Germany, the tight-knit around 2,200-strong team's drawn from over 90 countries, and operates Europe's largest and most advanced energy trading floor - trading a mix of electricity, gas, commodities and CO2 emission allowances. They commercially optimise our power plants' dispatch and take care of the renewables electricity sales, too. Tech-led and customer-focused, the teams agile mindset helps them respond and adapt intelligently to work that never stands still. Each day, there's a chance to grow as you create the financial foundations to invest in our green future. From well-established graduate programmes to success-related recognition - you'll experience a culture energised by trust, passion and performance.
Apr 03, 2026
Full time
Location: Swindon, Wiltshire, GB, SN5 6PB Location: Swindon, Wiltshire, UK RWE Supply & Trading GmbH Start date: July 2026 Are you looking to kickstart your career at a business where you can really make an impact? Whether we're delivering power to millions, trading in new areas across the globe or leading the rapid growth of offshore wind, our world-class IT puts us at the forefront of the energy industry. Join our RWEST UK Apprenticeship Programme and you can be part of it. You'll spend 24 months studying towards the Level 4 DevOps Engineer Apprenticeship Standard . You will get the chance to grow a career within the IT team of a large global organisation. About the role During your time on the apprenticeship, you'll grow to own several responsibilities. These can range from developing and defining architecture, implementing monitoring with alerts or automation on manual tasks, even being a role model for the DevOps culture of 'you build it, you run it'. Some further responsibilities include: Implement scripting and coding in a variety of languages, including C#, Java, and Python Infrastructure as Code (IaC): Use Terraform to provision and manage cloud resources (e.g., EC2, S3, RDS on AWS) in a repeatable, version-controlled manner. CI/CD Pipeline Management: Assist in building and maintaining automated build and release pipelines within Azure DevOps to streamline software delivery. Cloud Operations: Support the day-to-day management of AWS and Azure environments, including monitoring system health using tools like CloudWatch or Azure Monitor. Automation: Write scripts in Python, Bash, or PowerShell to automate repetitive tasks and improve operational efficiency. Troubleshooting: Identify and resolve bugs within deployment scripts and investigate infrastructure-related incidents under senior guidance. Job requirements and experience Enthusiasm and drive to complete your apprenticeship programme and seek out development opportunities within a supportive team. A passion & enthusiasm for IT A curious, analytical, and problem-solving mindset with good attention to detail. Good written and verbal communication skills to ensure effective dialogue with business stakeholders, suppliers, and partners The ability to work both as an individual, as well as with others. The ability to balance work, study, and other life commitments (you will be provided with the appropriate support and study time to achieve this) Willingness for occasional travel, as required, to support the role. The entry requirements for this programme are as follows: 5 GCSEs (or equivalent) at grades 4+ (A-C) in any subject, including maths and English A Level in STEM subject OR BTEC Diploma in STEM subject From here, you'll have a community of support. At RWE, we have an energy to be inclusive and believe diversity drives success. Reaching your full potential means being able to bring your whole self to work and being respected for the different opinions, strengths and experience you bring. We'll do everything we can to help you fulfil your potential with us. We offer a wide variety of initiatives to support you in and out of work, including: Competitive salary with annual discretionary bonus, ensuring rewarding efforts 25 days of annual leave plus public holidays access to our Employee Assistance Program, providing you with confidential help for any work, health, or life matters Progressive family-friendly policies that support an inclusive workplace Modern offices and trading floors located in prime areas, fully equipped with the latest technology An open and diverse company culture that promotes collaboration and engagement Apply before 31st March 2025 with just a few clicks. Please note that it is mandatory to upload your CV and cover letter in English. Your CV should include your most recent A-Level (or equivalent) grades. While not required, we'd also be happy to receive a cover letter. We value diversity and therefore welcome all applications - regardless of gender, disability, nationality, ethnic and social origin, religion/belief, age, sexual orientation, and identity. About us RWE Supply & Trading is our connection to the world's energy markets. With headquarters in Essen, Germany, the tight-knit around 2,200-strong team's drawn from over 90 countries, and operates Europe's largest and most advanced energy trading floor - trading a mix of electricity, gas, commodities and CO2 emission allowances. They commercially optimise our power plants' dispatch and take care of the renewables electricity sales, too. Tech-led and customer-focused, the teams agile mindset helps them respond and adapt intelligently to work that never stands still. Each day, there's a chance to grow as you create the financial foundations to invest in our green future. From well-established graduate programmes to success-related recognition - you'll experience a culture energised by trust, passion and performance.
The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.Through our people and technology, we connect clients to superior liquidity and data solutions.The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform.Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview The AI-Augmented Engineering Lead is responsible for integrating AI-driven solutions into engineering practices to improve developer productivity, software quality, and delivery velocity. The role plays a central part in advancing and scaling the organisation's AWS-based DevSecOps platform, embedding AI-augmented capabilities across tooling, pipelines, and operational practices.This role operates at the intersection of engineering leadership, platform engineering, and applied AI, enabling teams to deliver secure, reliable software at scale.This is a fantastic opportunity to make a significant impact within a forward-thinking organisation, contributing to the evolution of our cloud and platform engineering capabilities. If you have a passion for cloud technology, AI and automation, we would love to hear from you! Role Responsibilities AI-Enabled Engineering Practices Identify, evaluate, and implement AI-driven tools across the software development lifecycle, including coding assistance, automated testing, code quality, incident analysis, and operational insights. Define guardrails and standards for the secure and responsible use of AI in engineering, aligned with organisational security and compliance requirements. Assess and communicate the impact of AI adoption using clear metrics (e.g. lead time, defect rates, pipeline efficiency, developer experience).AWS-Centric DevSecOps Platform Leadership Lead the evolution of a central DevSecOps platform, integrating AI-augmented capabilities into core services. Design and optimise CI/CD pipelines with embedded security, quality, and policy controls. Manage and evolve artifact and dependency management using Nexus Repository, ensuring secure, reliable, and scalable software supply chains. Enhance observability and operational insight leveraging AI-assisted monitoring, alerting, and root cause analysis.Automation & Continuous Improvement Design, implement, and optimize AWS-based infrastructure solutions that align with business requirements and industry best practices. Stay current with AWS services, AI tooling, and DevSecOps trends, translating emerging capabilities into practical solutions. Collaborate with cross-functional teams to integrate generative AI solutions into existing systems. Research and stay up-to-date on the latest advancements in cloud distributed systems and generative AI technologies and methodologies Project Leadership: Take ownership of cloud and platform engineering projects, ensuring they are delivered efficiently, securely, and in accordance with organizational standards. Collaboration & Mentorship: Work closely with cross-functional teams, sharing knowledge and best practices to foster continuous improvement. Experience / Competences Essential Expertise in AI technologies including Generative AI and Machine Learning. Hands-on experience working with Large Language Models (LLMs). Track record in the architecture and design of AI driven solutions in software engineering Extensive AWS expertise, including experience with cloud automation, security best practices, and architectural design. Expertise in AWS AI services such as Bedrock and the Serverless eco system Strong experience with Python, React.js, and JavaScript Hands-on experience with CDK and Terraform for infrastructure automation Experience with DevOps methodologies, SCM, CI/CD pipelines, and containerization technologies (e.g., Docker, Kubernetes). Familiarity with monitoring and logging solutions such as Grafana, CloudWatch, Prometheus, or ELK Stack. Familiarity in security and compliance within cloud environments. Excellent problem-solving skills and the ability to troubleshoot complex cloud-based environments. Strong leadership capabilities, with experience leading technical projects and mentoring team members. Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.Desired AWS certifications such as AWS Certified Solutions Architect - Professional, AWS Certified DevOps Engineer - Professional, AWS Certified AI Practitioner, or AWS Certified Developer - Associate. Job Band & Level Manager / 7 Company Statement We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. Location UK - 135 Bishopsgate - London Connecting clients, communities and colleagues for sustainable growth TP ICAP connects people, platforms, ideas, and insight across the world's financial, energy and commodities markets. As a global leader in market infrastructure and data-led solutions, we enhance market access, increase efficiencies, and unlock possibilities. Work with us Joining TP ICAP puts you at the heart of markets that matter.You'll have the freedom to innovate and act on your initiative. We'll train you and build your abilities in your specialist area, so that you can become an expert in your field. And all within a connected network that's there to set you up for success.TP ICAP Group is a collection of premium brands each with a distinct, client-focused offering. Underpinning and connecting these client-facing brands is the financial security, operational strength and know-how we have as a Group.Connections are at the heart of what we do. We combine our people's know-how with the latest technology to improve price discovery, trade execution and liquidity flow.Connections create strength. Through them, we help our clients to manage risk, realise investment strategies and expand the scope for growth.And connections act as a catalyst. Sparking richer solutions for our clients to break new ground, modernising markets for future performance, and creating dynamic careers for our people. Our capacity to connect builds trust, supports communities and gives us the power to anticipate and respond to change, whatever direction the world takes. It's what makes TP ICAP a mainstay in the global markets, now and in the future.TP ICAP. We connect.
Apr 03, 2026
Full time
The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.Through our people and technology, we connect clients to superior liquidity and data solutions.The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform.Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview The AI-Augmented Engineering Lead is responsible for integrating AI-driven solutions into engineering practices to improve developer productivity, software quality, and delivery velocity. The role plays a central part in advancing and scaling the organisation's AWS-based DevSecOps platform, embedding AI-augmented capabilities across tooling, pipelines, and operational practices.This role operates at the intersection of engineering leadership, platform engineering, and applied AI, enabling teams to deliver secure, reliable software at scale.This is a fantastic opportunity to make a significant impact within a forward-thinking organisation, contributing to the evolution of our cloud and platform engineering capabilities. If you have a passion for cloud technology, AI and automation, we would love to hear from you! Role Responsibilities AI-Enabled Engineering Practices Identify, evaluate, and implement AI-driven tools across the software development lifecycle, including coding assistance, automated testing, code quality, incident analysis, and operational insights. Define guardrails and standards for the secure and responsible use of AI in engineering, aligned with organisational security and compliance requirements. Assess and communicate the impact of AI adoption using clear metrics (e.g. lead time, defect rates, pipeline efficiency, developer experience).AWS-Centric DevSecOps Platform Leadership Lead the evolution of a central DevSecOps platform, integrating AI-augmented capabilities into core services. Design and optimise CI/CD pipelines with embedded security, quality, and policy controls. Manage and evolve artifact and dependency management using Nexus Repository, ensuring secure, reliable, and scalable software supply chains. Enhance observability and operational insight leveraging AI-assisted monitoring, alerting, and root cause analysis.Automation & Continuous Improvement Design, implement, and optimize AWS-based infrastructure solutions that align with business requirements and industry best practices. Stay current with AWS services, AI tooling, and DevSecOps trends, translating emerging capabilities into practical solutions. Collaborate with cross-functional teams to integrate generative AI solutions into existing systems. Research and stay up-to-date on the latest advancements in cloud distributed systems and generative AI technologies and methodologies Project Leadership: Take ownership of cloud and platform engineering projects, ensuring they are delivered efficiently, securely, and in accordance with organizational standards. Collaboration & Mentorship: Work closely with cross-functional teams, sharing knowledge and best practices to foster continuous improvement. Experience / Competences Essential Expertise in AI technologies including Generative AI and Machine Learning. Hands-on experience working with Large Language Models (LLMs). Track record in the architecture and design of AI driven solutions in software engineering Extensive AWS expertise, including experience with cloud automation, security best practices, and architectural design. Expertise in AWS AI services such as Bedrock and the Serverless eco system Strong experience with Python, React.js, and JavaScript Hands-on experience with CDK and Terraform for infrastructure automation Experience with DevOps methodologies, SCM, CI/CD pipelines, and containerization technologies (e.g., Docker, Kubernetes). Familiarity with monitoring and logging solutions such as Grafana, CloudWatch, Prometheus, or ELK Stack. Familiarity in security and compliance within cloud environments. Excellent problem-solving skills and the ability to troubleshoot complex cloud-based environments. Strong leadership capabilities, with experience leading technical projects and mentoring team members. Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.Desired AWS certifications such as AWS Certified Solutions Architect - Professional, AWS Certified DevOps Engineer - Professional, AWS Certified AI Practitioner, or AWS Certified Developer - Associate. Job Band & Level Manager / 7 Company Statement We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. Location UK - 135 Bishopsgate - London Connecting clients, communities and colleagues for sustainable growth TP ICAP connects people, platforms, ideas, and insight across the world's financial, energy and commodities markets. As a global leader in market infrastructure and data-led solutions, we enhance market access, increase efficiencies, and unlock possibilities. Work with us Joining TP ICAP puts you at the heart of markets that matter.You'll have the freedom to innovate and act on your initiative. We'll train you and build your abilities in your specialist area, so that you can become an expert in your field. And all within a connected network that's there to set you up for success.TP ICAP Group is a collection of premium brands each with a distinct, client-focused offering. Underpinning and connecting these client-facing brands is the financial security, operational strength and know-how we have as a Group.Connections are at the heart of what we do. We combine our people's know-how with the latest technology to improve price discovery, trade execution and liquidity flow.Connections create strength. Through them, we help our clients to manage risk, realise investment strategies and expand the scope for growth.And connections act as a catalyst. Sparking richer solutions for our clients to break new ground, modernising markets for future performance, and creating dynamic careers for our people. Our capacity to connect builds trust, supports communities and gives us the power to anticipate and respond to change, whatever direction the world takes. It's what makes TP ICAP a mainstay in the global markets, now and in the future.TP ICAP. We connect.
SysOps Engineer Bath (Hybrid) £40,000+ DOE The role This isn't a ticket-chasing SysOps job. You'll be joining a small, sharp engineering team in a health-tech company whose platform is used by real patients, real clinicians and makes a measurable difference to care outcomes. You'll own infrastructure, shape how environments are built and run, and work side-by-side with developers to keep things fast, secure and reliable. If you're used to being siloed, you'll enjoy the freedom here. If you like improving systems rather than just maintaining them, you'll fit in. What you'll be doing Improving and supporting AWS environments (EC2, VPC, networking, security) Building infrastructure properly through Terraform and Ansible Automating deployments, tightening reliability, and removing manual pain points Monitoring environments and responding to incidents when they matter Working directly with engineers across product, backend and frontend teams Being part of an engineering culture where your voice and ideas actually shape the platform Tech stack AWS, Linux, Terraform, Ansible, Bash/Python, PHP, MySQL What they're looking for Around 3-5 years in a SysOps / DevOps / Cloud engineering role Strong AWS experience (multi-environment, secure, production workloads) Terraform or similar IaC Good Linux fundamentals Comfortable scripting (Bash or Python) Why this is worth your time Genuine tech-for-good work (your work impacts patient care, not advertising metrics) A team that values learning, curiosity and autonomy L&D budget for courses, certs and time to grow Private healthcare + enhanced benefits A modern engineering culture with proper collaboration, not red tape Interested? Contact Jack Winder for a chat. Please apply with a CV and a cover letter outlining why you're perfect for the role. Know someone great for the job? We offer a referral scheme-just get in touch! Note: We do our best to respond to every application, but due to volume, we can't always guarantee it. If you haven't heard back within 7 days, unfortunately, you haven't been successful this time. Keep an eye on our site for new opportunities!
Apr 03, 2026
Full time
SysOps Engineer Bath (Hybrid) £40,000+ DOE The role This isn't a ticket-chasing SysOps job. You'll be joining a small, sharp engineering team in a health-tech company whose platform is used by real patients, real clinicians and makes a measurable difference to care outcomes. You'll own infrastructure, shape how environments are built and run, and work side-by-side with developers to keep things fast, secure and reliable. If you're used to being siloed, you'll enjoy the freedom here. If you like improving systems rather than just maintaining them, you'll fit in. What you'll be doing Improving and supporting AWS environments (EC2, VPC, networking, security) Building infrastructure properly through Terraform and Ansible Automating deployments, tightening reliability, and removing manual pain points Monitoring environments and responding to incidents when they matter Working directly with engineers across product, backend and frontend teams Being part of an engineering culture where your voice and ideas actually shape the platform Tech stack AWS, Linux, Terraform, Ansible, Bash/Python, PHP, MySQL What they're looking for Around 3-5 years in a SysOps / DevOps / Cloud engineering role Strong AWS experience (multi-environment, secure, production workloads) Terraform or similar IaC Good Linux fundamentals Comfortable scripting (Bash or Python) Why this is worth your time Genuine tech-for-good work (your work impacts patient care, not advertising metrics) A team that values learning, curiosity and autonomy L&D budget for courses, certs and time to grow Private healthcare + enhanced benefits A modern engineering culture with proper collaboration, not red tape Interested? Contact Jack Winder for a chat. Please apply with a CV and a cover letter outlining why you're perfect for the role. Know someone great for the job? We offer a referral scheme-just get in touch! Note: We do our best to respond to every application, but due to volume, we can't always guarantee it. If you haven't heard back within 7 days, unfortunately, you haven't been successful this time. Keep an eye on our site for new opportunities!
Data Migration Engineer - Leeds Up to £75,000 12 month fixed-term-contract Please note, this opportunity does not offer sponsorship and candidates based outside of the UK will automatically be rejected. Are you an experienced Data Migration Engineer looking to step into a role with real ownership, influence, and impact? This is an opportunity to lead the delivery of data migration and archival solutions within a modern AWS-based data platform , supporting major transformation and data lifecycle initiatives. We're looking for someone who can combine strong engineering capability with technical leadership, ensuring data is migrated, archived, secured, and accessed effectively across the entire lifecycle. The Opportunity In this role, you will take end-to-end ownership of designing, implementing, and delivering data migration and archival solutions. Working closely with architecture, engineering, security, and project teams, you'll play a key part in shaping strategy, building cloud-native solutions, and ensuring data accuracy, integrity, and compliance. Key Responsibilities Data Migration & Archival Delivery Implement end-to-end data migration and archival solutions Contribute to the definition of strategy, patterns, and design Build and maintain processes for data movement, validation, storage, and retrieval Ensure archived data is secure, discoverable, auditable, and recoverable Produce documentation, runbooks, and operational materials Technical Leadership Act as a subject matter expert for migration and archival engineering Champion best practices in data lifecycle management, automation, and quality Identify risks, dependencies, and issues early with pragmatic solutions Engineering on AWS Build and operate solutions leveraging AWS cloud-native data services Use IaC (Terraform), automation, and modern deployment practices Ensure solutions are secure, scalable, resilient, and cost-effective Stakeholder Collaboration Work effectively within a matrix delivery environment Translate business and regulatory requirements into engineering solutions Communicate progress and technical decisions clearly across teams Essential Skills & Experience Strong track record delivering data migration and archival solutions in complex or regulated environments Hands-on experience with AWS data engineering services Deep understanding of data lifecycle management, retention, and decommissioning Advanced proficiency in: Python (automation, processing, orchestration) SQL (profiling, reconciliation, validation) Terraform (IaC) Git Strong grasp of data quality, reconciliation, secure handling, and migration risk management Desirable Experience Exposure to Lakehouse, serverless, or event-driven architectures Familiarity with CI/CD, automated testing, and monitoring Background in large or highly regulated organisations Personal Attributes Strong delivery mindset with high technical ownership Detail-focused with a passion for data accuracy and assurance Clear communicator able to articulate technical risks to non-technical audiences Practical, solutions-driven approach Comfortable working with ambiguity and cross-functional teams Benefits 30 days annual leave + bank holidays (with options to buy/sell) Private Medical Insurance, Life Insurance & Health Screening Up to 15% pension contribution (matched) Flexible cash allowance for benefits such as dental cover, sabbaticals, gym membership, and more Performance-based bonus Access to complimentary financial advice
Apr 03, 2026
Full time
Data Migration Engineer - Leeds Up to £75,000 12 month fixed-term-contract Please note, this opportunity does not offer sponsorship and candidates based outside of the UK will automatically be rejected. Are you an experienced Data Migration Engineer looking to step into a role with real ownership, influence, and impact? This is an opportunity to lead the delivery of data migration and archival solutions within a modern AWS-based data platform , supporting major transformation and data lifecycle initiatives. We're looking for someone who can combine strong engineering capability with technical leadership, ensuring data is migrated, archived, secured, and accessed effectively across the entire lifecycle. The Opportunity In this role, you will take end-to-end ownership of designing, implementing, and delivering data migration and archival solutions. Working closely with architecture, engineering, security, and project teams, you'll play a key part in shaping strategy, building cloud-native solutions, and ensuring data accuracy, integrity, and compliance. Key Responsibilities Data Migration & Archival Delivery Implement end-to-end data migration and archival solutions Contribute to the definition of strategy, patterns, and design Build and maintain processes for data movement, validation, storage, and retrieval Ensure archived data is secure, discoverable, auditable, and recoverable Produce documentation, runbooks, and operational materials Technical Leadership Act as a subject matter expert for migration and archival engineering Champion best practices in data lifecycle management, automation, and quality Identify risks, dependencies, and issues early with pragmatic solutions Engineering on AWS Build and operate solutions leveraging AWS cloud-native data services Use IaC (Terraform), automation, and modern deployment practices Ensure solutions are secure, scalable, resilient, and cost-effective Stakeholder Collaboration Work effectively within a matrix delivery environment Translate business and regulatory requirements into engineering solutions Communicate progress and technical decisions clearly across teams Essential Skills & Experience Strong track record delivering data migration and archival solutions in complex or regulated environments Hands-on experience with AWS data engineering services Deep understanding of data lifecycle management, retention, and decommissioning Advanced proficiency in: Python (automation, processing, orchestration) SQL (profiling, reconciliation, validation) Terraform (IaC) Git Strong grasp of data quality, reconciliation, secure handling, and migration risk management Desirable Experience Exposure to Lakehouse, serverless, or event-driven architectures Familiarity with CI/CD, automated testing, and monitoring Background in large or highly regulated organisations Personal Attributes Strong delivery mindset with high technical ownership Detail-focused with a passion for data accuracy and assurance Clear communicator able to articulate technical risks to non-technical audiences Practical, solutions-driven approach Comfortable working with ambiguity and cross-functional teams Benefits 30 days annual leave + bank holidays (with options to buy/sell) Private Medical Insurance, Life Insurance & Health Screening Up to 15% pension contribution (matched) Flexible cash allowance for benefits such as dental cover, sabbaticals, gym membership, and more Performance-based bonus Access to complimentary financial advice
Roke, Roke Manor, Romsey, Hampshire, United Kingdom Job Description Posted Monday 22 December 2025 at 01:00 Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. The Opportunity We seek a DevSecOps Engineer to report to our Chief Engineer for the implementation of advanced CI/CD infrastructure to drive best practice in end-to-end software delivery lifecycle and deployment automation across a complex estate of applications and embedded software. This will include specialist hardware dependencies like GPUs and FPGAs. This role would especially suit someone with maker community interest who likes to apply automation to the Edge for example, creating customised home IoT applications or home servers. Your Role In this role you will: Utilise the best of DevSecOps, IaC patterns and automation tooling to drive increased rapidity in development and deployment automation for a variety of systems that include ML, micro-services, applications, firmware and embedded systems. Apply SRE principles to the continual operation of live systems to promote observability and increase up time. Apply software hygiene automation for mirroring, vulnerability scanning and generation of SBOM The delivery goals for the first few months will be focused on prem and on edge where cloud systems will be incorporated at a later stage. The development and lower deployment environments will make use of virtualisation, particularly Nutanix, as well as Kubernetes. What you'll bring As a DevSecOps Engineer, you will have a degree level qualification in a STEM subject, or an equivalent level of practical experience. Depending on your level of ability/experience, you will have familiarity, competence or expertise in a subset of these areas: Cloud technologies: Azure and GCP beneficial Cyber security and Networking Federation to corporate IAMs Vulnerability scanning, static and dynamic analysis (e.g. SonarQube) Network security including the secure provision of certificates and tokens Virtualisation and Containerisation Containerisation (e.g. Docker, Podman) Virtualisation platforms (e.g. VMware, Proxmox, Hyper V) Experience in GPU containerisation (e.g. NVIDIA Container Toolkit, Run:AI) Microservices Edge compute APIs (both RESTful and Protobuf GRPC) Stream based pub/sub systems (including Kafka and MQTT) DevSecOps tooling Continuous Integration and Deployment (especially using Gitlab CI/CD) Infrastructure as code (e.g. Terraform, AWS CDK) Configuration management (e.g. Ansible, Puppet) Some experience in any programming languages that are useful in automation like Python or Rust. SRE analysis tools like Prometheus, Grafana, Thanos and Elastic Search for continuous monitoring and alerting. Beyond your technical skills, you will be proactive and able to work effectively with a variety of stakeholders. You will be curious and seek out the best approach/solution/tool for the job at hand. Roke has a hybrid working policy as does our client base. Collaborative activities are likely to take place from time to time in our Woking, Romsey and Gloucester locations as well as client sites in Andover, London, Bristol and Blandford. Areas of responsibility As part of a core team drive increased automation across all aspects from concept to product delivery to through life product and service operation. Support operational systems, troubleshoot and resolve issues. Support software, hardware and ML engineers to onboard their projects onto the consistent DevOps infrastructure that you'll be part of creating. Work closely with IT functions who'll provide the foundational infrastructure, networking and virtualization layers. Why You Should Join Us We have a competitive salary and access to a number of additional flexible benefits, which will cover Health and Wellbeing, Savings and Protection and Life, Leisure and Entertainment. Roke has a great community of groups with shared interests. These enable people to share ideas and be passionate about tools, technologies and techniques, which interest them. We are committed to a policy of Equal Opportunity, Diversity and Inclusion. Our working environment is friendly, creative and inclusive and support a diverse work force and those with additional needs. Security Information Due to the nature of this position, we require you to be willing and eligible to achieve a minimum of SC clearance. To qualify, the candidate should be a British Citizen and have resided in the UK for the last 5 years for SC. The Next Step Click apply, submitting an up-to-date CV. We look forward to hearing from you. Roke, Roke Manor, Romsey, Hampshire, United Kingdom
Apr 03, 2026
Full time
Roke, Roke Manor, Romsey, Hampshire, United Kingdom Job Description Posted Monday 22 December 2025 at 01:00 Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. The Opportunity We seek a DevSecOps Engineer to report to our Chief Engineer for the implementation of advanced CI/CD infrastructure to drive best practice in end-to-end software delivery lifecycle and deployment automation across a complex estate of applications and embedded software. This will include specialist hardware dependencies like GPUs and FPGAs. This role would especially suit someone with maker community interest who likes to apply automation to the Edge for example, creating customised home IoT applications or home servers. Your Role In this role you will: Utilise the best of DevSecOps, IaC patterns and automation tooling to drive increased rapidity in development and deployment automation for a variety of systems that include ML, micro-services, applications, firmware and embedded systems. Apply SRE principles to the continual operation of live systems to promote observability and increase up time. Apply software hygiene automation for mirroring, vulnerability scanning and generation of SBOM The delivery goals for the first few months will be focused on prem and on edge where cloud systems will be incorporated at a later stage. The development and lower deployment environments will make use of virtualisation, particularly Nutanix, as well as Kubernetes. What you'll bring As a DevSecOps Engineer, you will have a degree level qualification in a STEM subject, or an equivalent level of practical experience. Depending on your level of ability/experience, you will have familiarity, competence or expertise in a subset of these areas: Cloud technologies: Azure and GCP beneficial Cyber security and Networking Federation to corporate IAMs Vulnerability scanning, static and dynamic analysis (e.g. SonarQube) Network security including the secure provision of certificates and tokens Virtualisation and Containerisation Containerisation (e.g. Docker, Podman) Virtualisation platforms (e.g. VMware, Proxmox, Hyper V) Experience in GPU containerisation (e.g. NVIDIA Container Toolkit, Run:AI) Microservices Edge compute APIs (both RESTful and Protobuf GRPC) Stream based pub/sub systems (including Kafka and MQTT) DevSecOps tooling Continuous Integration and Deployment (especially using Gitlab CI/CD) Infrastructure as code (e.g. Terraform, AWS CDK) Configuration management (e.g. Ansible, Puppet) Some experience in any programming languages that are useful in automation like Python or Rust. SRE analysis tools like Prometheus, Grafana, Thanos and Elastic Search for continuous monitoring and alerting. Beyond your technical skills, you will be proactive and able to work effectively with a variety of stakeholders. You will be curious and seek out the best approach/solution/tool for the job at hand. Roke has a hybrid working policy as does our client base. Collaborative activities are likely to take place from time to time in our Woking, Romsey and Gloucester locations as well as client sites in Andover, London, Bristol and Blandford. Areas of responsibility As part of a core team drive increased automation across all aspects from concept to product delivery to through life product and service operation. Support operational systems, troubleshoot and resolve issues. Support software, hardware and ML engineers to onboard their projects onto the consistent DevOps infrastructure that you'll be part of creating. Work closely with IT functions who'll provide the foundational infrastructure, networking and virtualization layers. Why You Should Join Us We have a competitive salary and access to a number of additional flexible benefits, which will cover Health and Wellbeing, Savings and Protection and Life, Leisure and Entertainment. Roke has a great community of groups with shared interests. These enable people to share ideas and be passionate about tools, technologies and techniques, which interest them. We are committed to a policy of Equal Opportunity, Diversity and Inclusion. Our working environment is friendly, creative and inclusive and support a diverse work force and those with additional needs. Security Information Due to the nature of this position, we require you to be willing and eligible to achieve a minimum of SC clearance. To qualify, the candidate should be a British Citizen and have resided in the UK for the last 5 years for SC. The Next Step Click apply, submitting an up-to-date CV. We look forward to hearing from you. Roke, Roke Manor, Romsey, Hampshire, United Kingdom
Data Technical Lead - Leeds - up to £100K plus benefits (Hybrid working) Head Resourcing are delighted to be working with our client to recruit an experienced Technical Lead - Data. This is a fantastic opportunity to lead a high-performing Data Engineering team while owning a strategic data roadmap within a forward-thinking organisation. The Role Lead, mentor, and develop a team of Data Engineers Own and drive the data engineering roadmap Act as the technical authority for data architecture and design Deliver scalable, secure AWS-based data platforms (Lakehouse) Collaborate with stakeholders across technology and the wider business Key Skills Proven leadership experience within Data Engineering teams Strong hands-on expertise with AWS (Lambda, Glue, S3, Athena, Step Functions) Proficiency in Python, SQL, Terraform and Git Experience delivering complex data solutions and influencing stakeholders Strong understanding of data pipelines, testing, monitoring and data quality Desirable: Data migrations, modern architectures (Lakehouse/serverless), CI/CD & DevOps and regulated environments. This is a key opportunity to shape data strategy, architecture, and engineering best practices while driving impactful transformation initiatives.
Apr 02, 2026
Full time
Data Technical Lead - Leeds - up to £100K plus benefits (Hybrid working) Head Resourcing are delighted to be working with our client to recruit an experienced Technical Lead - Data. This is a fantastic opportunity to lead a high-performing Data Engineering team while owning a strategic data roadmap within a forward-thinking organisation. The Role Lead, mentor, and develop a team of Data Engineers Own and drive the data engineering roadmap Act as the technical authority for data architecture and design Deliver scalable, secure AWS-based data platforms (Lakehouse) Collaborate with stakeholders across technology and the wider business Key Skills Proven leadership experience within Data Engineering teams Strong hands-on expertise with AWS (Lambda, Glue, S3, Athena, Step Functions) Proficiency in Python, SQL, Terraform and Git Experience delivering complex data solutions and influencing stakeholders Strong understanding of data pipelines, testing, monitoring and data quality Desirable: Data migrations, modern architectures (Lakehouse/serverless), CI/CD & DevOps and regulated environments. This is a key opportunity to shape data strategy, architecture, and engineering best practices while driving impactful transformation initiatives.
Hybrid Infrastructure Engineer (DevOps / SRE) Location: London Contract Type: 12 months About the Role Guidant Global is supporting our client in hiring a Hybrid Infrastructure Engineer with strong DevOps or Site Reliability Engineering experience. This role bridges traditional on premises IT operations with modern cloud native engineering, ensuring seamless integration, automation and performance optimisation across hybrid environments. If you're passionate about resilient systems, cloud infrastructure, automation and scaling platforms responsibly - this is a role where you'll have a huge impact. Key Responsibilities Infrastructure Management: Design, deploy and maintain hybrid infrastructure solutions across cloud platforms and on premises environments CI/CD Automation: Build and manage automated delivery pipelines to support rapid development cycles Monitoring & Reliability: Implement and maintain monitoring, logging and alerting systems to ensure availability, performance and early issue detection Security & Compliance: Apply robust security best practices across all environments and ensure compliance with industry standards Infrastructure as Code: Develop, maintain and version control infrastructure using Terraform or similar IaC tooling Partner with development and product teams to improve system reliability, deployment speed and operational efficiency Participate in on call rotations, responding to outages and performance incidents Maintain clear, comprehensive documentation for systems, processes and configurations Top Skills (in order of priority) Background in DevOps, SRE, or Systems Administration Strong hands on experience with both cloud platforms and on premises infrastructure Proficiency in scripting languages (Python, Bash, PowerShell, etc.) Experience with containerisation and orchestration (Docker, Kubernetes, etc.) Familiarity with CI/CD pipelines and modern deployment practices Solid understanding of networking - firewalls, VPNs, load balancers, routing fundamentals Experience using monitoring & observability tools (Prometheus, Grafana, ELK, CloudWatch, etc.) Required Skills & Experience Strong experience designing, operating and troubleshooting hybrid infrastructure Deep knowledge of cloud platforms (AWS, Azure, GCP) Experience using Terraform or similar tools for IaC Hands on experience with CI/CD tools such as GitLab CI, GitHub Actions, Jenkins or Azure DevOps Strong scripting skills for automation and operational tooling Understanding of security, compliance and best practice governance Ability to work cross functionally with engineering and product teams Nice to Have Cloud certifications (AWS/Azure/GCP) Experience with hybrid cloud solutions and migration strategies Familiarity with service mesh, zero trust architectures or advanced networking models Experience working in regulated industries (FS, government, healthcare, defence, etc.) Who You Are You're a versatile engineer who thrives in hybrid environments, combining reliability engineering discipline with cloud native mindset. You're collaborative, calm under pressure, and excited about building systems that are secure, scalable and resilient.
Apr 02, 2026
Full time
Hybrid Infrastructure Engineer (DevOps / SRE) Location: London Contract Type: 12 months About the Role Guidant Global is supporting our client in hiring a Hybrid Infrastructure Engineer with strong DevOps or Site Reliability Engineering experience. This role bridges traditional on premises IT operations with modern cloud native engineering, ensuring seamless integration, automation and performance optimisation across hybrid environments. If you're passionate about resilient systems, cloud infrastructure, automation and scaling platforms responsibly - this is a role where you'll have a huge impact. Key Responsibilities Infrastructure Management: Design, deploy and maintain hybrid infrastructure solutions across cloud platforms and on premises environments CI/CD Automation: Build and manage automated delivery pipelines to support rapid development cycles Monitoring & Reliability: Implement and maintain monitoring, logging and alerting systems to ensure availability, performance and early issue detection Security & Compliance: Apply robust security best practices across all environments and ensure compliance with industry standards Infrastructure as Code: Develop, maintain and version control infrastructure using Terraform or similar IaC tooling Partner with development and product teams to improve system reliability, deployment speed and operational efficiency Participate in on call rotations, responding to outages and performance incidents Maintain clear, comprehensive documentation for systems, processes and configurations Top Skills (in order of priority) Background in DevOps, SRE, or Systems Administration Strong hands on experience with both cloud platforms and on premises infrastructure Proficiency in scripting languages (Python, Bash, PowerShell, etc.) Experience with containerisation and orchestration (Docker, Kubernetes, etc.) Familiarity with CI/CD pipelines and modern deployment practices Solid understanding of networking - firewalls, VPNs, load balancers, routing fundamentals Experience using monitoring & observability tools (Prometheus, Grafana, ELK, CloudWatch, etc.) Required Skills & Experience Strong experience designing, operating and troubleshooting hybrid infrastructure Deep knowledge of cloud platforms (AWS, Azure, GCP) Experience using Terraform or similar tools for IaC Hands on experience with CI/CD tools such as GitLab CI, GitHub Actions, Jenkins or Azure DevOps Strong scripting skills for automation and operational tooling Understanding of security, compliance and best practice governance Ability to work cross functionally with engineering and product teams Nice to Have Cloud certifications (AWS/Azure/GCP) Experience with hybrid cloud solutions and migration strategies Familiarity with service mesh, zero trust architectures or advanced networking models Experience working in regulated industries (FS, government, healthcare, defence, etc.) Who You Are You're a versatile engineer who thrives in hybrid environments, combining reliability engineering discipline with cloud native mindset. You're collaborative, calm under pressure, and excited about building systems that are secure, scalable and resilient.
Role: Infrastructure Specialist (AWS) Location: London (Hybrid) Duration: 12 Months Day rate: £490 Inside IR35 Candidates must have 5 years' continuous UK residency. Active SC clearance preferred. Required skills & experience: Proficient knowledge and experience in AWS Knowledge and experience as administrator in Openshift Good experience with at least one scripting language (e.g., Python, Bash, PowerShell) Good professional experience in OS administration (e.g., Linux, Windows) Practical knowledge about IaC concept and tools (e.g., Terraform, CloudFormation) Skills that would be a plus. Experience in managing incident resolution and change fulfillment in as independent position Knowledge and professional experience about (e.g., AWS CodePipeline, GitHub Actions, Lambda, S3, CloudWatch) Experience in working with Jira and Confluence are welcome.
Apr 02, 2026
Full time
Role: Infrastructure Specialist (AWS) Location: London (Hybrid) Duration: 12 Months Day rate: £490 Inside IR35 Candidates must have 5 years' continuous UK residency. Active SC clearance preferred. Required skills & experience: Proficient knowledge and experience in AWS Knowledge and experience as administrator in Openshift Good experience with at least one scripting language (e.g., Python, Bash, PowerShell) Good professional experience in OS administration (e.g., Linux, Windows) Practical knowledge about IaC concept and tools (e.g., Terraform, CloudFormation) Skills that would be a plus. Experience in managing incident resolution and change fulfillment in as independent position Knowledge and professional experience about (e.g., AWS CodePipeline, GitHub Actions, Lambda, S3, CloudWatch) Experience in working with Jira and Confluence are welcome.