AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.
Apr 10, 2026
Full time
AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.
Staff AI/ML Engineer Next-Gen SaaS Platform London (Hybrid) £100-145k We're hiring Staff AI/ML Engineers to help build cutting edge LLM powered systems and agentic AI workflows for a rapidly growing PE Backed business who have developed an AI Driven SaaS platform used by 1,000+ global customers. They're scaling rapidly, now with 100+ people in tech across London and the US, and recently brought on a Director of AI Engineering to drive innovation in with a brand new squad. This role in particular focuses on building production AI systems that analyse complex documents, extract structured knowledge, and automate high value workflows using modern LLM infrastructure. What you'll be doing: As their Staff AI/ML Engineer, you'll play a key role in designing and delivering advanced AI systems that power intelligent document analysis, knowledge extraction, and AI driven automation across the platform. Working closely with product and engineering teams, you'll help shape the company's AI architecture, tooling, and best practices while building scalable ML systems deployed in production. Your day to day will include: Design and deploy LLM powered systems for information extraction, document understanding, and knowledge retrieval Build agentic AI workflows to orchestrate LLMs, tools, and structured data for complex automation Develop and optimize ML pipelines and data workflows for training, evaluation, and deployment Leverage AI platforms like AWS Bedrock, SageMaker, and Vertex AI to scale capabilities Collaborate with engineers and product teams to integrate AI into the platform Mentor engineers and guide AI/ML best practices, architecture, and strategy What they're looking for in you: Strong experience in AI/ML engineering and deploying production ML systems Experience with LLMs, agentic AI frameworks, or information extraction pipelines Proficiency in Python (Java or Rust a bonus) Familiarity with cloud AI platforms (AWS, GCP, or Azure) and MLOps workflows Passion for using AI to solve real world problems What's in it for you Salary:up to £145,000 High impact role:work in a small, innovative team with a clear roadmap for career progression Flexible working:hybrid setup, typically two days per week in the Central London office Benefits:25 days annual leave, enhanced pension plan, medical insurance, and more If you're excited by the idea of building real world AI systems using LLMs, agentic workflows, and advanced information extraction techniques, this is a fantastic opportunity to join a company investing heavily in AI innovation and product development.
Apr 10, 2026
Full time
Staff AI/ML Engineer Next-Gen SaaS Platform London (Hybrid) £100-145k We're hiring Staff AI/ML Engineers to help build cutting edge LLM powered systems and agentic AI workflows for a rapidly growing PE Backed business who have developed an AI Driven SaaS platform used by 1,000+ global customers. They're scaling rapidly, now with 100+ people in tech across London and the US, and recently brought on a Director of AI Engineering to drive innovation in with a brand new squad. This role in particular focuses on building production AI systems that analyse complex documents, extract structured knowledge, and automate high value workflows using modern LLM infrastructure. What you'll be doing: As their Staff AI/ML Engineer, you'll play a key role in designing and delivering advanced AI systems that power intelligent document analysis, knowledge extraction, and AI driven automation across the platform. Working closely with product and engineering teams, you'll help shape the company's AI architecture, tooling, and best practices while building scalable ML systems deployed in production. Your day to day will include: Design and deploy LLM powered systems for information extraction, document understanding, and knowledge retrieval Build agentic AI workflows to orchestrate LLMs, tools, and structured data for complex automation Develop and optimize ML pipelines and data workflows for training, evaluation, and deployment Leverage AI platforms like AWS Bedrock, SageMaker, and Vertex AI to scale capabilities Collaborate with engineers and product teams to integrate AI into the platform Mentor engineers and guide AI/ML best practices, architecture, and strategy What they're looking for in you: Strong experience in AI/ML engineering and deploying production ML systems Experience with LLMs, agentic AI frameworks, or information extraction pipelines Proficiency in Python (Java or Rust a bonus) Familiarity with cloud AI platforms (AWS, GCP, or Azure) and MLOps workflows Passion for using AI to solve real world problems What's in it for you Salary:up to £145,000 High impact role:work in a small, innovative team with a clear roadmap for career progression Flexible working:hybrid setup, typically two days per week in the Central London office Benefits:25 days annual leave, enhanced pension plan, medical insurance, and more If you're excited by the idea of building real world AI systems using LLMs, agentic workflows, and advanced information extraction techniques, this is a fantastic opportunity to join a company investing heavily in AI innovation and product development.
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects Represent Capital One in external technical forums, contributing to vendor/industry discussions Drive service quality standards and practices for your domain, guiding complex incident resolution Develop and advocate for strategies to proactively manage technical debt across multiple teams Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Apr 10, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects Represent Capital One in external technical forums, contributing to vendor/industry discussions Drive service quality standards and practices for your domain, guiding complex incident resolution Develop and advocate for strategies to proactively manage technical debt across multiple teams Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Job Title: Senior Backend Engineer Location: Dunton Essex - 4 days minimum mandatory onsite Rate: £67.15ph Umbrella Co Basis (Inside IR35) Employment Type: Contract (31.12.26) Hours: Standard 37.5 Hours Per Week Reference: F56475 The Senior Backend Engineer plays a pivotal role in driving the technical success in our backend teams. This position involves architecting scalable, resilient, and secure backend solutions and overseeing the technical completion of critical development tasks, often in ambiguous situations. The Senior Backend Engineer is responsible for ensuring that backend code and architectural reviews are aligned with organisational goals, facilitating productive technical discussions, and making decisions to resolve complex backend engineering issues effectively. In this role, the Senior Backend Engineer supports the technical direction for backend development, offering guidance to team members and exemplifying technical excellence in backend practices. Collaboration with frontend, DevOps, and other engineering teams is essential to ensure technical alignment across the organisation. The role also involves leading efforts to implement process improvements within backend development workflows, thereby enhancing productivity and output quality through innovation and collaboration. Strong expertise in backend programming languages (e.g., Java, Python, Go, Node.js) is essential, alongside responsibility for creating and reviewing technical designs for complex backend systems that meet both business goals and technical feasibility. Managing relationships with key stakeholders, balancing their needs with technical constraints, and facilitating open technical communication are also crucial aspects of this role. Skills Required: Extensive multi-year engineering experience specialising in designing, developing, and maintaining robust backend systems and services. Deep expertise in version control systems (e.g., Git/GitHub) and CI/CD tools (e.g., Cloudbuild), including defining and optimising pipelines for backend deployments. Proven proficiency with cloud platforms, particularly GCP, including experience with infrastructure as code and cloud-native services. Demonstrated leadership and practical experience in architectural practices, including designing scalable, resilient, and secure backend solutions. Customer-focused with a strong commitment to team collaboration and driving successful outcomes. Strong drive for delivering high-quality, performant, and value-added results. Demonstrated commitment to quality assurance and adherence to delivery timelines. Ability to autonomously manage multiple complex assignments with minimal direction, providing guidance to junior team members. Ability to thrive and contribute effectively within a highly regulated, financial environment. Willingness to be flexible in terms of tasks and timings to meet project demands. Significant experience performing and leading development reviews, ensuring code quality, maintainability, and adherence to best practices. Expertise in Test Driven Development (TDD) and Behaviour Driven Development (BDD) methodologies for backend services. Strong appreciation and practical application of architectural standards and processes essential in large-scale organisations. Java Spring Boot JUnit GCP (Google Cloud Platform) GitHub / Jetbrains products (e.g., IntelliJ IDEA) Fossa (or similar open-source licence compliance tools) SonarQube (or similar code quality analysis tools) Checkmarx (or similar static application security testing tools) Cycode (or similar software supply chain security platforms) Skills preferred: Automotive finance or consumer lending background Experience with regulatory compliance requirements (FCA, PRA guidelines) Knowledge automotive manufacturer finance operations Education Required: STEM degree (Mathematics, Statistics, Computer Science, Engineering) or equivalent experience Additional Information: The preference on main programming language would be Java but open to languages such as python, go, .net. Specific language is not essential but good experience in backend technologies is. Preference for being able to work in a highly regulated environment, automotive finance experience would be a bonus but not a requirement. Inside IR35 Minimum 4 days a week in Dunton Office No terminology within this advert is intended to unlawfully discriminate on the grounds of age, sex, race or disability and we welcome all applications. Our Clients are unable to provide sponsorship for Tier 2 General Visas; therefore, only candidates eligible to work in the UK need apply!
Apr 10, 2026
Full time
Job Title: Senior Backend Engineer Location: Dunton Essex - 4 days minimum mandatory onsite Rate: £67.15ph Umbrella Co Basis (Inside IR35) Employment Type: Contract (31.12.26) Hours: Standard 37.5 Hours Per Week Reference: F56475 The Senior Backend Engineer plays a pivotal role in driving the technical success in our backend teams. This position involves architecting scalable, resilient, and secure backend solutions and overseeing the technical completion of critical development tasks, often in ambiguous situations. The Senior Backend Engineer is responsible for ensuring that backend code and architectural reviews are aligned with organisational goals, facilitating productive technical discussions, and making decisions to resolve complex backend engineering issues effectively. In this role, the Senior Backend Engineer supports the technical direction for backend development, offering guidance to team members and exemplifying technical excellence in backend practices. Collaboration with frontend, DevOps, and other engineering teams is essential to ensure technical alignment across the organisation. The role also involves leading efforts to implement process improvements within backend development workflows, thereby enhancing productivity and output quality through innovation and collaboration. Strong expertise in backend programming languages (e.g., Java, Python, Go, Node.js) is essential, alongside responsibility for creating and reviewing technical designs for complex backend systems that meet both business goals and technical feasibility. Managing relationships with key stakeholders, balancing their needs with technical constraints, and facilitating open technical communication are also crucial aspects of this role. Skills Required: Extensive multi-year engineering experience specialising in designing, developing, and maintaining robust backend systems and services. Deep expertise in version control systems (e.g., Git/GitHub) and CI/CD tools (e.g., Cloudbuild), including defining and optimising pipelines for backend deployments. Proven proficiency with cloud platforms, particularly GCP, including experience with infrastructure as code and cloud-native services. Demonstrated leadership and practical experience in architectural practices, including designing scalable, resilient, and secure backend solutions. Customer-focused with a strong commitment to team collaboration and driving successful outcomes. Strong drive for delivering high-quality, performant, and value-added results. Demonstrated commitment to quality assurance and adherence to delivery timelines. Ability to autonomously manage multiple complex assignments with minimal direction, providing guidance to junior team members. Ability to thrive and contribute effectively within a highly regulated, financial environment. Willingness to be flexible in terms of tasks and timings to meet project demands. Significant experience performing and leading development reviews, ensuring code quality, maintainability, and adherence to best practices. Expertise in Test Driven Development (TDD) and Behaviour Driven Development (BDD) methodologies for backend services. Strong appreciation and practical application of architectural standards and processes essential in large-scale organisations. Java Spring Boot JUnit GCP (Google Cloud Platform) GitHub / Jetbrains products (e.g., IntelliJ IDEA) Fossa (or similar open-source licence compliance tools) SonarQube (or similar code quality analysis tools) Checkmarx (or similar static application security testing tools) Cycode (or similar software supply chain security platforms) Skills preferred: Automotive finance or consumer lending background Experience with regulatory compliance requirements (FCA, PRA guidelines) Knowledge automotive manufacturer finance operations Education Required: STEM degree (Mathematics, Statistics, Computer Science, Engineering) or equivalent experience Additional Information: The preference on main programming language would be Java but open to languages such as python, go, .net. Specific language is not essential but good experience in backend technologies is. Preference for being able to work in a highly regulated environment, automotive finance experience would be a bonus but not a requirement. Inside IR35 Minimum 4 days a week in Dunton Office No terminology within this advert is intended to unlawfully discriminate on the grounds of age, sex, race or disability and we welcome all applications. Our Clients are unable to provide sponsorship for Tier 2 General Visas; therefore, only candidates eligible to work in the UK need apply!
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 proven track 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 We're looking an experienced Expert Backend Engineer to join our expanding R&D team and help drive the growth of Wiz. In this role, you'll be responsible for developing and maintaining large-scale distributed components that power Wiz. We're looking for candidates who are passionate about tackling scaling challenges and take pride in writing clean, efficient, and maintainable code. Join us in our mission to secure the cloud. Our tech stack includes a multi-cloud architecture (Azure, AWS, GCP, OCI, Alibaba Cloud) with Golang, GraphQL, PostgreSQL, Neptune, Docker, Kubernetes, and more. WHAT YOU'LL DO End-to-end development of backend software components (research, design, development, testing, rollout, monitoring) Contributing to technological and architectural decisions Conducting design and code reviews Analyzing and improving efficiency, scalability, and stability of various backend system components Collaborating with cross-functional teams (e.g., Frontend, DevOps) to deliver top-tier features. WHAT YOU'LL BRING 8+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Golang) Experience with cloud platforms (e.g. AWS, GCP, Azure) Experience with microservices based architecture Experience with databases and message queue technologies Experience with continuous integration and deployment (CI/CD) Bachelor of Science in Computer Science/Software Engineering or related field 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 10, 2026
Full time
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 proven track 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 We're looking an experienced Expert Backend Engineer to join our expanding R&D team and help drive the growth of Wiz. In this role, you'll be responsible for developing and maintaining large-scale distributed components that power Wiz. We're looking for candidates who are passionate about tackling scaling challenges and take pride in writing clean, efficient, and maintainable code. Join us in our mission to secure the cloud. Our tech stack includes a multi-cloud architecture (Azure, AWS, GCP, OCI, Alibaba Cloud) with Golang, GraphQL, PostgreSQL, Neptune, Docker, Kubernetes, and more. WHAT YOU'LL DO End-to-end development of backend software components (research, design, development, testing, rollout, monitoring) Contributing to technological and architectural decisions Conducting design and code reviews Analyzing and improving efficiency, scalability, and stability of various backend system components Collaborating with cross-functional teams (e.g., Frontend, DevOps) to deliver top-tier features. WHAT YOU'LL BRING 8+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Golang) Experience with cloud platforms (e.g. AWS, GCP, Azure) Experience with microservices based architecture Experience with databases and message queue technologies Experience with continuous integration and deployment (CI/CD) Bachelor of Science in Computer Science/Software Engineering or related field 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.
Introduction Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. The Role: This is an initial 6 month contract role within our UK IT Business Unit. The IT Solution Architect will be responsible for designing and implementing technology solutions that align with business objectives and technical requirements. This role bridges the gap between business needs and IT capabilities, ensuring that solutions are scalable, secure, and cost-effective. The Solution Architect works closely with stakeholders, developers, and project managers to deliver robust architectures that support organisational goals. Key Responsibilities: Solution Design & Architecture to a high standard. Develop high-level and detailed solution architectures for IT systems and applications. Ensure solutions comply with enterprise architecture standards, security policies, and regulatory requirements. Create architectural diagrams, models, and documentation for proposed solutions. Stakeholder Engagement Collaborate with business analysts, project managers, and technical teams to understand requirements. Present architectural solutions to stakeholders and obtain buy-in. Technology Evaluation Assess emerging technologies and recommend adoption where appropriate. Conduct feasibility studies and cost-benefit analyses for proposed solutions. Governance & Standards Define and enforce architectural principles, guidelines, and best practices. Ensure consistency and integration across systems and platforms. Implementation Support Provide technical leadership during solution implementation. Troubleshoot architectural issues and guide development teams. Perform Risk Management. Identify potential risks in solution design and propose mitigation strategies. Ensure compliance with data protection and cybersecurity standards. Qualifications and Skills: Bachelor's degree in Computer Science, Information Technology, or related field. 7+ years in IT roles, with at least 3 years in solution architecture. Experience in large-scale system design and implementation. Certifications (Preferred). TOGAF, AWS/Azure Solution Architect, ITIL. Knowledge of enterprise architecture frameworks (e.g., TOGAF, Zachman). Proficiency in cloud platforms (AWS, Azure, GCP) and hybrid architectures. Experience with APIs, microservices, and integration patterns. Understanding of networking, security, and infrastructure principles. Analytical & Problem-Solving. Ability to translate business requirements into technical solutions. Strong analytical skills for evaluating complex systems. Communication & Leadership. Excellent verbal and written communication skills. Ability to influence and negotiate with stakeholders at all levels. Self-motivated, resilient and able to work under pressure. Excellent communication and presentation skills. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.
Apr 10, 2026
Contractor
Introduction Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. The Role: This is an initial 6 month contract role within our UK IT Business Unit. The IT Solution Architect will be responsible for designing and implementing technology solutions that align with business objectives and technical requirements. This role bridges the gap between business needs and IT capabilities, ensuring that solutions are scalable, secure, and cost-effective. The Solution Architect works closely with stakeholders, developers, and project managers to deliver robust architectures that support organisational goals. Key Responsibilities: Solution Design & Architecture to a high standard. Develop high-level and detailed solution architectures for IT systems and applications. Ensure solutions comply with enterprise architecture standards, security policies, and regulatory requirements. Create architectural diagrams, models, and documentation for proposed solutions. Stakeholder Engagement Collaborate with business analysts, project managers, and technical teams to understand requirements. Present architectural solutions to stakeholders and obtain buy-in. Technology Evaluation Assess emerging technologies and recommend adoption where appropriate. Conduct feasibility studies and cost-benefit analyses for proposed solutions. Governance & Standards Define and enforce architectural principles, guidelines, and best practices. Ensure consistency and integration across systems and platforms. Implementation Support Provide technical leadership during solution implementation. Troubleshoot architectural issues and guide development teams. Perform Risk Management. Identify potential risks in solution design and propose mitigation strategies. Ensure compliance with data protection and cybersecurity standards. Qualifications and Skills: Bachelor's degree in Computer Science, Information Technology, or related field. 7+ years in IT roles, with at least 3 years in solution architecture. Experience in large-scale system design and implementation. Certifications (Preferred). TOGAF, AWS/Azure Solution Architect, ITIL. Knowledge of enterprise architecture frameworks (e.g., TOGAF, Zachman). Proficiency in cloud platforms (AWS, Azure, GCP) and hybrid architectures. Experience with APIs, microservices, and integration patterns. Understanding of networking, security, and infrastructure principles. Analytical & Problem-Solving. Ability to translate business requirements into technical solutions. Strong analytical skills for evaluating complex systems. Communication & Leadership. Excellent verbal and written communication skills. Ability to influence and negotiate with stakeholders at all levels. Self-motivated, resilient and able to work under pressure. Excellent communication and presentation skills. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.
Engineering Lead - AI-SaaS Platform Tripled ARR in 12 months Remote-first (UK) with hybrid London office option Up to £150,000 per annum plus equity Typescript/Node, React, GCP/AWS The Engineering Lead We're hiring Engineering Leads to guide small, focused squads (up to 4 Engineers) while remaining hands-on in the codebase. This isn't a "people manager only" role - around 70% of your time will be technical, leading the design and build of AI-native solutions with real-time infrastructure and a seamless frontend experience. The remainder will be spent coaching, mentoring, and supporting your team's growth. For the first three months, you'll contribute as an individual contributor, embedding yourself in the product and tech stack before taking on leadership responsibilities. What you'll do Lead a small team of Engineers while staying deeply technical Contribute across the stack (React, Node.js/Typescript, GCP) with backend experience highly valued Shape and deliver high quality features that scale with thousands of customers Advocate for engineering best practices and help raise the technical bar Collaborate with product and design to deliver exceptional user experiences What you'll bring Proven experience leading small teams while still contributing technically Strong backend development expertise (Node.js, Typescript; Go a plus) Familiarity with cloud native architectures (GCP or AWS) Excellent communication skills and a collaborative mindset A balance of technical depth and people first leadership This is an amazing opportunity for an Engineering Lead to join a fast growing scale up as they take the next leap in their journey. Please reply with your CV or call Simon for a chat.
Apr 10, 2026
Full time
Engineering Lead - AI-SaaS Platform Tripled ARR in 12 months Remote-first (UK) with hybrid London office option Up to £150,000 per annum plus equity Typescript/Node, React, GCP/AWS The Engineering Lead We're hiring Engineering Leads to guide small, focused squads (up to 4 Engineers) while remaining hands-on in the codebase. This isn't a "people manager only" role - around 70% of your time will be technical, leading the design and build of AI-native solutions with real-time infrastructure and a seamless frontend experience. The remainder will be spent coaching, mentoring, and supporting your team's growth. For the first three months, you'll contribute as an individual contributor, embedding yourself in the product and tech stack before taking on leadership responsibilities. What you'll do Lead a small team of Engineers while staying deeply technical Contribute across the stack (React, Node.js/Typescript, GCP) with backend experience highly valued Shape and deliver high quality features that scale with thousands of customers Advocate for engineering best practices and help raise the technical bar Collaborate with product and design to deliver exceptional user experiences What you'll bring Proven experience leading small teams while still contributing technically Strong backend development expertise (Node.js, Typescript; Go a plus) Familiarity with cloud native architectures (GCP or AWS) Excellent communication skills and a collaborative mindset A balance of technical depth and people first leadership This is an amazing opportunity for an Engineering Lead to join a fast growing scale up as they take the next leap in their journey. Please reply with your CV or call Simon for a chat.
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important Notice to Employment Businesses/Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Apr 10, 2026
Full time
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important Notice to Employment Businesses/Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
CBSbutler Holdings Limited trading as CBSbutler
Wokingham, Berkshire
Role: Principal Site Reliability Engineer (Platform / DevOps) Location: Wokingham (Reading) - Hybrid (60% remote / 40% onsite) Duration: 6 Months+ Rate: 500- 520 per day Clearance: Active SC Clearance required (mandatory) Overview We are seeking an experienced Principal SRE / Platform Engineer to lead platform-first initiatives focused on scalability, reliability, and performance across distributed systems. This role requires strong DevOps expertise and the ability to design and maintain resilient cloud-based infrastructure. Key Responsibilities Lead platform-first engineering initiatives to enhance scalability and reliability Design, build, and maintain resilient infrastructure for distributed systems Implement monitoring and alerting solutions to ensure high availability Collaborate with engineering teams to improve system reliability and mitigate risks Develop and maintain CI/CD pipelines to support efficient deployments Recommend ongoing improvements to platform architecture and processes Ensure compliance with security, governance, and regulatory standards Required Skills & Experience Strong background in software engineering for large-scale distributed systems Proficiency in Golang, Java, or Python Hands-on experience with AWS, Azure, or GCP Deep knowledge of Kubernetes and container orchestration Proven experience with CI/CD and infrastructure automation Excellent troubleshooting and communication skills
Apr 09, 2026
Contractor
Role: Principal Site Reliability Engineer (Platform / DevOps) Location: Wokingham (Reading) - Hybrid (60% remote / 40% onsite) Duration: 6 Months+ Rate: 500- 520 per day Clearance: Active SC Clearance required (mandatory) Overview We are seeking an experienced Principal SRE / Platform Engineer to lead platform-first initiatives focused on scalability, reliability, and performance across distributed systems. This role requires strong DevOps expertise and the ability to design and maintain resilient cloud-based infrastructure. Key Responsibilities Lead platform-first engineering initiatives to enhance scalability and reliability Design, build, and maintain resilient infrastructure for distributed systems Implement monitoring and alerting solutions to ensure high availability Collaborate with engineering teams to improve system reliability and mitigate risks Develop and maintain CI/CD pipelines to support efficient deployments Recommend ongoing improvements to platform architecture and processes Ensure compliance with security, governance, and regulatory standards Required Skills & Experience Strong background in software engineering for large-scale distributed systems Proficiency in Golang, Java, or Python Hands-on experience with AWS, Azure, or GCP Deep knowledge of Kubernetes and container orchestration Proven experience with CI/CD and infrastructure automation Excellent troubleshooting and communication skills
Managed Cloud Detection and Response Analyst 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. Wiz is looking for a Managed Cloud Detection and Response Analyst to join our newly established team. The team monitors customers' cloud environments and workloads, triages security alerts, and mitigates cyber incidents. We are seeking an experienced detection and response analyst with a solid background in cloud security, who is committed to helping customers secure their cloud environments and proactively protect against emerging threats. Your contribution will be vital in preventing potential attacks and ensuring a swift response to security incidents! WHAT YOU'LL DO Continuously monitor customers' cloud environments and workloads for security alerts and analyze potential cyber threats to identify and prioritize cyber security incidents. Triage prioritized cyber incidents and coordinate appropriate response actions to mitigate risks effectively. Work closely with customer teams to guide and assist with investigation and remediation of incidents. Create and deliver incident reports that document findings and response actions taken for customers. Write and implement custom detection rules and fine-tune alerts to enhance threat detection capabilities for the customer's specific cloud environment. Develop and maintain cyber incident response playbooks to standardize procedures and enhance the internal methodology of the team. Stay up to date with the latest threats, vulnerabilities, and trends in cloud security to update response strategies and improve detection methods. WHAT YOU'LL BRING 3+ years of experience in a Security Operations Center or Managed Detection and Response, specifically involving cloud environments. Solid knowledge in Cloud Security, with familiarity in cloud services, Kubernetes, cloud architecture, and major providers (AWS, GCP, Azure). Strong analytical skills with a detail-oriented mindset, capable of assessing complex security incidents, separating false positives from true compromise, and providing actionable insights. Passion for continuous learning and improvement, staying up-to-date on the latest trends, threats, and best practices in cloud security. Willingness to work in shifts, including nights, weekends, and holidays to provide 24/7 coverage for customers. Excellent communication skills, both verbal and written. 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 09, 2026
Full time
Managed Cloud Detection and Response Analyst 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. Wiz is looking for a Managed Cloud Detection and Response Analyst to join our newly established team. The team monitors customers' cloud environments and workloads, triages security alerts, and mitigates cyber incidents. We are seeking an experienced detection and response analyst with a solid background in cloud security, who is committed to helping customers secure their cloud environments and proactively protect against emerging threats. Your contribution will be vital in preventing potential attacks and ensuring a swift response to security incidents! WHAT YOU'LL DO Continuously monitor customers' cloud environments and workloads for security alerts and analyze potential cyber threats to identify and prioritize cyber security incidents. Triage prioritized cyber incidents and coordinate appropriate response actions to mitigate risks effectively. Work closely with customer teams to guide and assist with investigation and remediation of incidents. Create and deliver incident reports that document findings and response actions taken for customers. Write and implement custom detection rules and fine-tune alerts to enhance threat detection capabilities for the customer's specific cloud environment. Develop and maintain cyber incident response playbooks to standardize procedures and enhance the internal methodology of the team. Stay up to date with the latest threats, vulnerabilities, and trends in cloud security to update response strategies and improve detection methods. WHAT YOU'LL BRING 3+ years of experience in a Security Operations Center or Managed Detection and Response, specifically involving cloud environments. Solid knowledge in Cloud Security, with familiarity in cloud services, Kubernetes, cloud architecture, and major providers (AWS, GCP, Azure). Strong analytical skills with a detail-oriented mindset, capable of assessing complex security incidents, separating false positives from true compromise, and providing actionable insights. Passion for continuous learning and improvement, staying up-to-date on the latest trends, threats, and best practices in cloud security. Willingness to work in shifts, including nights, weekends, and holidays to provide 24/7 coverage for customers. Excellent communication skills, both verbal and written. 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.
At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale. More than just a workplace, we're a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following. Our Culture At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are: Mission-Driven: We focus on creating economic and social impact. People-Centric: We care deeply about our team's growth, well-being, and sense of belonging. Innovative: We embrace change and find better ways to do things together. Globally Connected: We foster collaboration between diverse cultures and perspectives. If you're passionate about innovation, collaboration, and making a real impact, we'd love to have you on board! Role Summary As a Lead Software Engineer (Tech Lead), you will own the technical direction, architecture, and day-to-day operation of our platforms. This role has a strong focus on DevOps, scalability, reliability, and delivery excellence. You'll partner closely with Product and Engineering teams to design and evolve robust, cloud-native systems, ensure the stability of existing platforms, and enable teams to ship high-quality software efficiently. You will also work directly with clients to design and deliver solutions on top of our platform-translating real business problems into pragmatic, scalable technical implementations. This is a hands-on leadership role that blends engineering, architecture, operational ownership, and technical mentorship. Responsibilities Lead system design and define scalable, cloud-native architectures Build, review, and maintain production systems primarily in Go Own the operation and maintenance of existing platforms, ensuring reliability, performance, and availability Own and evolve DevOps practices, including CI/CD, Kubernetes, and infrastructure automation Drive high standards for operational excellence, including monitoring, alerting, incident response, and observability Proactively manage and reduce technical debt through pragmatic architectural decisions Communicate technical decisions clearly through design docs, diagrams, and collaborative discussions Work with clients and internal stakeholders to design platform-based solutions that solve real business needs Support client integrations, proofs-of-concept, and solution architecture as needed Identify delivery and operational bottlenecks and continuously improve engineering workflows Mentor engineers and lead by example through code reviews and hands-on technical support Qualifications 7+ years of experience building, operating, and designing complex software systems Strong expertise in Go (Golang) Solid experience working with AWS Strong foundation in software architecture and distributed systems Experience with CI/CD pipelines, test automation, and observability tooling Hands on experience operating production systems, including on call rotations, incident management, and platform maintenance Comfortable working directly with clients and clearly explaining technical concepts Excellent communication skills and the ability to lead across teams Our Tech Stack Frontend: JavaScript, React, TypeScript Backend: Go, Python Databases: DynamoDB, DocumentDB, PostgreSQL CI/CD & Deployment: GitHub Actions Observability: New Relic Infrastructure: AWS services, GCP Benefits Great Mission and Culture Meaningful Work Market competitive salary Quarterly variable compensation Comprehensive medical cover Group life insurance Personal development and growth opportunities Periodic team building and social events At CloudFactory, we believe that work should be more than just a job-it should be a platform for growth, impact, and community. Here, you'll earn with purpose, learn every day, and serve a mission that truly matters. If you're looking for a career where you can develop professionally, contribute meaningfully, and be part of a global movement, we'd love to have you on this journey! Join us today and be part of our mission to connect people and technology for a better world! Apply now and bring your whole, authentic self to work-we can't wait to meet you!
Apr 09, 2026
Full time
At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale. More than just a workplace, we're a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following. Our Culture At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are: Mission-Driven: We focus on creating economic and social impact. People-Centric: We care deeply about our team's growth, well-being, and sense of belonging. Innovative: We embrace change and find better ways to do things together. Globally Connected: We foster collaboration between diverse cultures and perspectives. If you're passionate about innovation, collaboration, and making a real impact, we'd love to have you on board! Role Summary As a Lead Software Engineer (Tech Lead), you will own the technical direction, architecture, and day-to-day operation of our platforms. This role has a strong focus on DevOps, scalability, reliability, and delivery excellence. You'll partner closely with Product and Engineering teams to design and evolve robust, cloud-native systems, ensure the stability of existing platforms, and enable teams to ship high-quality software efficiently. You will also work directly with clients to design and deliver solutions on top of our platform-translating real business problems into pragmatic, scalable technical implementations. This is a hands-on leadership role that blends engineering, architecture, operational ownership, and technical mentorship. Responsibilities Lead system design and define scalable, cloud-native architectures Build, review, and maintain production systems primarily in Go Own the operation and maintenance of existing platforms, ensuring reliability, performance, and availability Own and evolve DevOps practices, including CI/CD, Kubernetes, and infrastructure automation Drive high standards for operational excellence, including monitoring, alerting, incident response, and observability Proactively manage and reduce technical debt through pragmatic architectural decisions Communicate technical decisions clearly through design docs, diagrams, and collaborative discussions Work with clients and internal stakeholders to design platform-based solutions that solve real business needs Support client integrations, proofs-of-concept, and solution architecture as needed Identify delivery and operational bottlenecks and continuously improve engineering workflows Mentor engineers and lead by example through code reviews and hands-on technical support Qualifications 7+ years of experience building, operating, and designing complex software systems Strong expertise in Go (Golang) Solid experience working with AWS Strong foundation in software architecture and distributed systems Experience with CI/CD pipelines, test automation, and observability tooling Hands on experience operating production systems, including on call rotations, incident management, and platform maintenance Comfortable working directly with clients and clearly explaining technical concepts Excellent communication skills and the ability to lead across teams Our Tech Stack Frontend: JavaScript, React, TypeScript Backend: Go, Python Databases: DynamoDB, DocumentDB, PostgreSQL CI/CD & Deployment: GitHub Actions Observability: New Relic Infrastructure: AWS services, GCP Benefits Great Mission and Culture Meaningful Work Market competitive salary Quarterly variable compensation Comprehensive medical cover Group life insurance Personal development and growth opportunities Periodic team building and social events At CloudFactory, we believe that work should be more than just a job-it should be a platform for growth, impact, and community. Here, you'll earn with purpose, learn every day, and serve a mission that truly matters. If you're looking for a career where you can develop professionally, contribute meaningfully, and be part of a global movement, we'd love to have you on this journey! Join us today and be part of our mission to connect people and technology for a better world! Apply now and bring your whole, authentic self to work-we can't wait to meet you!
About the Role At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerised deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6-8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Why you? Basic Qualifications: Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerisation (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications: Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive programme which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. GSK US Benefits Summary Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Apr 09, 2026
Full time
About the Role At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerised deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6-8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Why you? Basic Qualifications: Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerisation (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications: Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive programme which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. GSK US Benefits Summary Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Summer-Browning Associates is currently supporting our central government client, who is seeking an Enterprise Architect. This position is for an initial 12-month contract assignment, with the possibility of extension. Location: London The ideal candidate will hold an active security clearance and have a strong background in Enterprise Architecture, along with the following skills and experience: Extensive experience in developing Enterprise Architectural strategies, leading design authorities, and implementing architectural governance. Proven track record in leading enterprise architecture for large-scale cloud hosting, specifically in Azure and GCP, within high-security government Tier 2 environments. In-depth knowledge of cloud architecture, including IAM, identity federation, cryptography, network segmentation, and high-assurance gateways. Proven ability to lead enterprise design across all domains, including Data, Digital, Security, and Technical areas. Proficiency in Secure by Design principles and IT security documentation, including policies, standards, processes, procedures, and patterns. Demonstrable knowledge of cybersecurity frameworks and standards, including the NCSC Cyber Assessment Framework, ISO 27001, NIST, COBIT, as well as SABSA and TOGAF. To apply, please submit your latest CV for review.
Apr 08, 2026
Contractor
Summer-Browning Associates is currently supporting our central government client, who is seeking an Enterprise Architect. This position is for an initial 12-month contract assignment, with the possibility of extension. Location: London The ideal candidate will hold an active security clearance and have a strong background in Enterprise Architecture, along with the following skills and experience: Extensive experience in developing Enterprise Architectural strategies, leading design authorities, and implementing architectural governance. Proven track record in leading enterprise architecture for large-scale cloud hosting, specifically in Azure and GCP, within high-security government Tier 2 environments. In-depth knowledge of cloud architecture, including IAM, identity federation, cryptography, network segmentation, and high-assurance gateways. Proven ability to lead enterprise design across all domains, including Data, Digital, Security, and Technical areas. Proficiency in Secure by Design principles and IT security documentation, including policies, standards, processes, procedures, and patterns. Demonstrable knowledge of cybersecurity frameworks and standards, including the NCSC Cyber Assessment Framework, ISO 27001, NIST, COBIT, as well as SABSA and TOGAF. To apply, please submit your latest CV for review.
Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Cross-platform Flutter apps with a deep focus on user experience Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations What you'll do Work across the full stack of technology, from mobile all the way down through data infrastructure. Take end-to-end ownership over thorny real-world problems, like using machine vision to automatically assess proof of delivery photos. Collaborate with team members across the company. Regularly spend time in the field learning how the technology you build impacts our couriers and parcel recipients. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min Build a UI Component Interview - 1 hour Design and Mobile Fundamentals Interview + AI Programming (Build an APP) - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours, our process mirrors our pace of work, typically completed in a week. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Apr 08, 2026
Full time
Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Cross-platform Flutter apps with a deep focus on user experience Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations What you'll do Work across the full stack of technology, from mobile all the way down through data infrastructure. Take end-to-end ownership over thorny real-world problems, like using machine vision to automatically assess proof of delivery photos. Collaborate with team members across the company. Regularly spend time in the field learning how the technology you build impacts our couriers and parcel recipients. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min Build a UI Component Interview - 1 hour Design and Mobile Fundamentals Interview + AI Programming (Build an APP) - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours, our process mirrors our pace of work, typically completed in a week. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first-principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cross-platform Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay, you'll: Own challenging, impactful problems end-to-end, from routing algorithms to real-time optimisation services and intuitive operational tools. Collaborate closely with top engineers, data scientists, and product leaders in a highly autonomous and impact-driven environment. Regularly ship production-quality code weekly-and often daily-seeing your work directly impact Relay's growth. Create incredible product experiences powering the fastest-growing e-commerce platforms, including Vinted, TikTok, and Temu, impacting millions of users worldwide. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min API Integration Interview - 1 hour Technical Interview - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours; our process mirrors our pace of work, typically completed in a week. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Apr 07, 2026
Full time
Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first-principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cross-platform Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay, you'll: Own challenging, impactful problems end-to-end, from routing algorithms to real-time optimisation services and intuitive operational tools. Collaborate closely with top engineers, data scientists, and product leaders in a highly autonomous and impact-driven environment. Regularly ship production-quality code weekly-and often daily-seeing your work directly impact Relay's growth. Create incredible product experiences powering the fastest-growing e-commerce platforms, including Vinted, TikTok, and Temu, impacting millions of users worldwide. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min API Integration Interview - 1 hour Technical Interview - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours; our process mirrors our pace of work, typically completed in a week. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise "data" is broad, that's why we're keen to speak to those from a data background and cloud natives with experience in building software of high quality standards. As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you. Responsibilities You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications Solve end to end data problems/opportunities at scale Contributing to solution architecture & design of complex systems Working with our customers to take them on a journey to success bringing their data strategy to life Engage with your cross-functional squad during the implementation of end-to-end solutions Contribute to internal initiatives such as blogs, technical forums, and technology practices Drive your own development using the tools and support from Indicium AI to learn new skills Requirements (These are not ) Experience building end-to-end data-centric systems using modern data engineering techniques (e.g. distributed systems, data streaming, event-based architectures etc) Software development experience with one or more languages (e.g. Python, Java, C#) Solid software engineering and DevOps skills as well as the complete SDLC applied to data, e.g. design patterns, automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Pragmatic approach to solving problems Nice to haves Keen interest in modern AI/ML techniques Experience in a consultancy or client-facing role Certifications in relevant technologies (e.g. AWS Cloud Practitioner, Azure Fundamentals, etc.) Why Indicium AI Plentiful opportunity and support for learning & development; £2k annual training budget (with 5 study days), access to Udemy, external consulting & leadership skills training Fast-growing start-up organisation with huge opportunity for career growth Competitive salary package along with company annual bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Strong engineering community; regularly run forums and Lunch & Learns, internal technology practices, we host external meet-ups Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Interested in building your career at Indicium AI? Get future opportunities sent straight to your email. Do you consider yourself to have a disability? The Equality Act 2010 defines a "physical or mental impairment which has a substantial and long-term adverse effect on a person's ability to carry out normal day-to-day activities". An effect is long-term if it has lasted, or is likely to last, more than 12 months. Which gender do you identify as?
Apr 07, 2026
Full time
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise "data" is broad, that's why we're keen to speak to those from a data background and cloud natives with experience in building software of high quality standards. As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you. Responsibilities You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications Solve end to end data problems/opportunities at scale Contributing to solution architecture & design of complex systems Working with our customers to take them on a journey to success bringing their data strategy to life Engage with your cross-functional squad during the implementation of end-to-end solutions Contribute to internal initiatives such as blogs, technical forums, and technology practices Drive your own development using the tools and support from Indicium AI to learn new skills Requirements (These are not ) Experience building end-to-end data-centric systems using modern data engineering techniques (e.g. distributed systems, data streaming, event-based architectures etc) Software development experience with one or more languages (e.g. Python, Java, C#) Solid software engineering and DevOps skills as well as the complete SDLC applied to data, e.g. design patterns, automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Pragmatic approach to solving problems Nice to haves Keen interest in modern AI/ML techniques Experience in a consultancy or client-facing role Certifications in relevant technologies (e.g. AWS Cloud Practitioner, Azure Fundamentals, etc.) Why Indicium AI Plentiful opportunity and support for learning & development; £2k annual training budget (with 5 study days), access to Udemy, external consulting & leadership skills training Fast-growing start-up organisation with huge opportunity for career growth Competitive salary package along with company annual bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Strong engineering community; regularly run forums and Lunch & Learns, internal technology practices, we host external meet-ups Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Interested in building your career at Indicium AI? Get future opportunities sent straight to your email. Do you consider yourself to have a disability? The Equality Act 2010 defines a "physical or mental impairment which has a substantial and long-term adverse effect on a person's ability to carry out normal day-to-day activities". An effect is long-term if it has lasted, or is likely to last, more than 12 months. Which gender do you identify as?
Role: AI/ML Computational Science Senior ManagerLocation: LondonSalary: Competitive salary and package dependent on experienceCareer Level: Senior Manager (CL6) Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide 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 As a team: Working across industry groups, our Centre for Advanced AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile technology solutions in the world. You'll work on innovative projects with colleagues to drive collaboration from strategy through to implementation. You will be using the latest technologies, with a particular focus on AI and GenAI, with clients to help them get to the next level. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. We AreThe beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI - backed by a $3B investment and commitment to our people to do industry-defining work.With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.You AreAs an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross-functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI-driven solutions.The WorkWe are seeking an experienced Agentic DevOps Lead to lead our Agentic DevOps initiatives. This role is pivotal in scaling our Generative AI agentic solutions across diverse cloud environments. You will architect and operationalize a reusable, portable Agentic DevOps framework that ensures production readiness, observability, and deployment efficiency for agentic applications.You will lead a team of reinventors-engineers, architects, and DevOps specialists-focused on delivering industry-leading agentic systems that are robust, scalable, and client-ready.Key Responsibilities Lead Agentic DevOps Strategy: Define and implement scalable DevOps frameworks for agentic systems using LangGraph, Crew AI, Autogen, and other orchestration tools. Framework Development: Build reusable scaffolding for agent lifecycle management, orchestration, monitoring, and metering. Cloud-Native Deployment: Architect and manage CI/CD pipelines for public and private cloud environments (AWS, Azure, GCP). Production Readiness: Ensure agentic applications meet enterprise-grade standards for security, reliability, and compliance. Team Leadership: Mentor and manage cross-functional teams across DevOps, AI engineering, and client enablement. Client Enablement: Collaborate with solution architects to tailor deployments for client environments and ensure seamless onboarding. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
Apr 07, 2026
Full time
Role: AI/ML Computational Science Senior ManagerLocation: LondonSalary: Competitive salary and package dependent on experienceCareer Level: Senior Manager (CL6) Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide 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 As a team: Working across industry groups, our Centre for Advanced AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile technology solutions in the world. You'll work on innovative projects with colleagues to drive collaboration from strategy through to implementation. You will be using the latest technologies, with a particular focus on AI and GenAI, with clients to help them get to the next level. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. We AreThe beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI - backed by a $3B investment and commitment to our people to do industry-defining work.With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.You AreAs an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross-functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI-driven solutions.The WorkWe are seeking an experienced Agentic DevOps Lead to lead our Agentic DevOps initiatives. This role is pivotal in scaling our Generative AI agentic solutions across diverse cloud environments. You will architect and operationalize a reusable, portable Agentic DevOps framework that ensures production readiness, observability, and deployment efficiency for agentic applications.You will lead a team of reinventors-engineers, architects, and DevOps specialists-focused on delivering industry-leading agentic systems that are robust, scalable, and client-ready.Key Responsibilities Lead Agentic DevOps Strategy: Define and implement scalable DevOps frameworks for agentic systems using LangGraph, Crew AI, Autogen, and other orchestration tools. Framework Development: Build reusable scaffolding for agent lifecycle management, orchestration, monitoring, and metering. Cloud-Native Deployment: Architect and manage CI/CD pipelines for public and private cloud environments (AWS, Azure, GCP). Production Readiness: Ensure agentic applications meet enterprise-grade standards for security, reliability, and compliance. Team Leadership: Mentor and manage cross-functional teams across DevOps, AI engineering, and client enablement. Client Enablement: Collaborate with solution architects to tailor deployments for client environments and ensure seamless onboarding. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
Office locations considered: Newbury, Reading, London, Liverpool or Glasgow. The Team We're Intuita - a fast-growing consultancy that's making waves in both the consultancy and technology space. As now part of the wider FSP Consulting group, we have ambitious goals for the year ahead, we are looking for talented individuals to complement the team of experts we already have working across our business, becoming a pivotal part of our journey, not just to meet but continuously exceed our client expectations! In this strategic role, you will work closely with our Engineering Associate Directors and Principal Consultants to define, design and govern high-quality data architectures across complex client environments . You'll bring deep architectural expertise, strong communication skills, and the ability to translate business challenges into scalable, future-proof data solutions. Interested so far? Read on for a more detailed job spec and benefits outline: The Role We are looking for a Data Architect to join our growing team.This position suits someone who blends hands-on architectural design with strategic leadership , comfortable guiding both clients and engineering teams toward robust, sustainable and high-quality outcomes. Key Responsibilities you can expect: Data Architecture Leadership Define, own and evolve enterprise-grade data architectures, ensuring scalability, sustainability and alignment with client objectives. Solution Design & Governance Lead the design of cloud-based data platforms, semantic layers, integration patterns and data models. Establish governance standards, frameworks and principles that guide engineering teams. Stakeholder & Client Engagement Act as a trusted technical partner to clients, shaping their data strategy, advising senior stakeholders and articulating architecture decisions with clarity and confidence. Quality, Standards & Best Practice Create and enforce architectural guidelines, including modelling standards, reference architectures, blueprints and reusable components to ensure consistent delivery quality. Technology Strategy & Continuous Improvement Stay current with emerging data platform technologies, architectural patterns and cloud-native capabilities. Proactively share insights and drive innovation across the wider engineering team. On-Site Engagement Periodically attend client sites to enhance relationships and ensure architectural direction aligns with strategic outcomes. ? A bit about you Being a consultant at Intuita is different.We hire driven, passionate people who care about quality and honesty. We value individuality, collaboration and people who bring their own style to solving complex problems. As a Data Architect, you should embody these values and bring a mix of technical depth , strategic thinking and excellent communication skills . We're looking for someone with: Extensive experience defining and delivering data architectures in large-scale, enterprise or transformation programmes. Proven expertise designing cloud-native data platforms across Azure, GCP or AWS. Strong background in data modelling methodologies (Kimball, 3NF, Data Vault, dimensional modelling). Experience with modern data transformation approaches - familiarity with DBT and analytics engineering principles is beneficial. Deep understanding of data platforms, orchestration , metadata management , CI/CD and architectural components such as DevOps, Azure Data Factory, BigQuery, Databricks, MS Fabric, Airflow, Snowflake etc. Demonstrated experience architecting solutions using medallion architectures , including curated gold-layer models designed for analytics consumption. Strong knowledge of unity catalog (or similar), data governance, lineage, cataloguing and metadata-driven design. Awareness of cloud economics , cost optimisation strategies and designing solutions that balance performance with value. Experience with infrastructure as code , especially Terraform, to ensure architectural consistency and deployment scalability. Ability to inspire, guide and elevate cross-functional engineering teams. Solid understanding of Agile delivery and cross-functional collaboration. The "Nice to Have's" would include: Experience working in a consultancy, able to navigate diverse clients and industries. Relevant certifications (e.g., Azure Data Architect, AWS/GCP Architect, Databricks). Industry domain experience: financial services, telecoms, ecommerce, retail, or others. Experience designing semantic layers and BI-friendly data structures (e.g., Power BI models). Familiarity with enterprise data management tools such as Azure Purview or Collibra (cataloguing, lineage, data quality). If you don't fit the above criteria exactly but are interested in working for us, get in touch anyway! - we hire people, not a job spec! What's in it for you? Salary : c. £75,000 - c. £95,000 per annum DOE An enhanced benefits package If you require any support with your application, please contact
Apr 07, 2026
Full time
Office locations considered: Newbury, Reading, London, Liverpool or Glasgow. The Team We're Intuita - a fast-growing consultancy that's making waves in both the consultancy and technology space. As now part of the wider FSP Consulting group, we have ambitious goals for the year ahead, we are looking for talented individuals to complement the team of experts we already have working across our business, becoming a pivotal part of our journey, not just to meet but continuously exceed our client expectations! In this strategic role, you will work closely with our Engineering Associate Directors and Principal Consultants to define, design and govern high-quality data architectures across complex client environments . You'll bring deep architectural expertise, strong communication skills, and the ability to translate business challenges into scalable, future-proof data solutions. Interested so far? Read on for a more detailed job spec and benefits outline: The Role We are looking for a Data Architect to join our growing team.This position suits someone who blends hands-on architectural design with strategic leadership , comfortable guiding both clients and engineering teams toward robust, sustainable and high-quality outcomes. Key Responsibilities you can expect: Data Architecture Leadership Define, own and evolve enterprise-grade data architectures, ensuring scalability, sustainability and alignment with client objectives. Solution Design & Governance Lead the design of cloud-based data platforms, semantic layers, integration patterns and data models. Establish governance standards, frameworks and principles that guide engineering teams. Stakeholder & Client Engagement Act as a trusted technical partner to clients, shaping their data strategy, advising senior stakeholders and articulating architecture decisions with clarity and confidence. Quality, Standards & Best Practice Create and enforce architectural guidelines, including modelling standards, reference architectures, blueprints and reusable components to ensure consistent delivery quality. Technology Strategy & Continuous Improvement Stay current with emerging data platform technologies, architectural patterns and cloud-native capabilities. Proactively share insights and drive innovation across the wider engineering team. On-Site Engagement Periodically attend client sites to enhance relationships and ensure architectural direction aligns with strategic outcomes. ? A bit about you Being a consultant at Intuita is different.We hire driven, passionate people who care about quality and honesty. We value individuality, collaboration and people who bring their own style to solving complex problems. As a Data Architect, you should embody these values and bring a mix of technical depth , strategic thinking and excellent communication skills . We're looking for someone with: Extensive experience defining and delivering data architectures in large-scale, enterprise or transformation programmes. Proven expertise designing cloud-native data platforms across Azure, GCP or AWS. Strong background in data modelling methodologies (Kimball, 3NF, Data Vault, dimensional modelling). Experience with modern data transformation approaches - familiarity with DBT and analytics engineering principles is beneficial. Deep understanding of data platforms, orchestration , metadata management , CI/CD and architectural components such as DevOps, Azure Data Factory, BigQuery, Databricks, MS Fabric, Airflow, Snowflake etc. Demonstrated experience architecting solutions using medallion architectures , including curated gold-layer models designed for analytics consumption. Strong knowledge of unity catalog (or similar), data governance, lineage, cataloguing and metadata-driven design. Awareness of cloud economics , cost optimisation strategies and designing solutions that balance performance with value. Experience with infrastructure as code , especially Terraform, to ensure architectural consistency and deployment scalability. Ability to inspire, guide and elevate cross-functional engineering teams. Solid understanding of Agile delivery and cross-functional collaboration. The "Nice to Have's" would include: Experience working in a consultancy, able to navigate diverse clients and industries. Relevant certifications (e.g., Azure Data Architect, AWS/GCP Architect, Databricks). Industry domain experience: financial services, telecoms, ecommerce, retail, or others. Experience designing semantic layers and BI-friendly data structures (e.g., Power BI models). Familiarity with enterprise data management tools such as Azure Purview or Collibra (cataloguing, lineage, data quality). If you don't fit the above criteria exactly but are interested in working for us, get in touch anyway! - we hire people, not a job spec! What's in it for you? Salary : c. £75,000 - c. £95,000 per annum DOE An enhanced benefits package If you require any support with your application, please contact
Take Ownership of Cutting-Edge Network Engineering At Qualify Nation Recruitment , we connect ambitious technology professionals with high-impact opportunities. We're currently supporting a leading UK consultancy looking for an experienced Network Engineer to design and deliver secure, scalable, and future-ready network infrastructures across their Space, Defence, and Intelligence projects. This is your chance to work in one of the UK's most technically rewarding environments-solving real-world challenges, influencing architecture, and shaping long-term network strategy. Your Role You'll be responsible for architecting and delivering next-generation network solutions spanning enterprise, virtualised, and cloud platforms. Working closely with engineering, security, and cloud teams, you'll: Design secure, resilient, high-performance networks across Cisco, Juniper, Arista, and SDN/SD-WAN environments Deliver and optimise routing, switching, and service provider technologies including BGP, OSPF, EVPN/VXLAN, and MPLS Implement advanced security controls including firewalls, segmentation, PKI, and zero-trust across hybrid environments Apply automation and scripting to streamline operations and improve efficiency Build cloud-ready connectivity for AWS, Azure, and GCP, including VPC/VNet designs and interconnects Monitor and improve global infrastructures using observability and WAN optimisation tools What You'll Bring We're looking for a hands-on engineer with a proven track record designing and managing complex network infrastructures. Ideal candidates will have: Extensive experience with Cisco, Juniper, and/or Arista platforms Strong knowledge of BGP, OSPF, IS-IS, EVPN/VXLAN, MPLS , and high-availability protocols Experience with SD-WAN technologies (Cisco SD-WAN, Meraki, Aruba, Palo Alto Prisma) Familiarity with AWS, Azure, or GCP networking and hybrid cloud connectivity Understanding of firewalls, PKI, load balancers, and segmentation Ability to work within secure environments and meet UK clearance requirements Who This Role Suits Engineers who enjoy solving complex network challenges and influencing architecture Professionals looking for long-term career growth in cutting-edge technical environments Those motivated to work in high-impact, mission-critical projects across Space, Defence, and Intelligence What You'll Get Competitive salary + benefits Pension, private healthcare, and share scheme options Hybrid working with UK-based on-site requirements A supportive and collaborative community focused on growth and innovation Exposure to cutting-edge network, cloud, and security technologies Additional Requirements Candidates must be eligible for or hold High-Level UK Security Clearance Some on-site work will be required Apply Now If you're ready to take ownership of advanced network engineering projects and grow your career in a high-impact environment: Submit your CV today Our Qualify Nation Recruitment team may also contact you for a courtesy call to discuss your application Qualify Nation Recruitment specialises in connecting ambitious technical professionals with career-defining opportunities across cybersecurity, AI, cloud, and enterprise technology.
Apr 07, 2026
Full time
Take Ownership of Cutting-Edge Network Engineering At Qualify Nation Recruitment , we connect ambitious technology professionals with high-impact opportunities. We're currently supporting a leading UK consultancy looking for an experienced Network Engineer to design and deliver secure, scalable, and future-ready network infrastructures across their Space, Defence, and Intelligence projects. This is your chance to work in one of the UK's most technically rewarding environments-solving real-world challenges, influencing architecture, and shaping long-term network strategy. Your Role You'll be responsible for architecting and delivering next-generation network solutions spanning enterprise, virtualised, and cloud platforms. Working closely with engineering, security, and cloud teams, you'll: Design secure, resilient, high-performance networks across Cisco, Juniper, Arista, and SDN/SD-WAN environments Deliver and optimise routing, switching, and service provider technologies including BGP, OSPF, EVPN/VXLAN, and MPLS Implement advanced security controls including firewalls, segmentation, PKI, and zero-trust across hybrid environments Apply automation and scripting to streamline operations and improve efficiency Build cloud-ready connectivity for AWS, Azure, and GCP, including VPC/VNet designs and interconnects Monitor and improve global infrastructures using observability and WAN optimisation tools What You'll Bring We're looking for a hands-on engineer with a proven track record designing and managing complex network infrastructures. Ideal candidates will have: Extensive experience with Cisco, Juniper, and/or Arista platforms Strong knowledge of BGP, OSPF, IS-IS, EVPN/VXLAN, MPLS , and high-availability protocols Experience with SD-WAN technologies (Cisco SD-WAN, Meraki, Aruba, Palo Alto Prisma) Familiarity with AWS, Azure, or GCP networking and hybrid cloud connectivity Understanding of firewalls, PKI, load balancers, and segmentation Ability to work within secure environments and meet UK clearance requirements Who This Role Suits Engineers who enjoy solving complex network challenges and influencing architecture Professionals looking for long-term career growth in cutting-edge technical environments Those motivated to work in high-impact, mission-critical projects across Space, Defence, and Intelligence What You'll Get Competitive salary + benefits Pension, private healthcare, and share scheme options Hybrid working with UK-based on-site requirements A supportive and collaborative community focused on growth and innovation Exposure to cutting-edge network, cloud, and security technologies Additional Requirements Candidates must be eligible for or hold High-Level UK Security Clearance Some on-site work will be required Apply Now If you're ready to take ownership of advanced network engineering projects and grow your career in a high-impact environment: Submit your CV today Our Qualify Nation Recruitment team may also contact you for a courtesy call to discuss your application Qualify Nation Recruitment specialises in connecting ambitious technical professionals with career-defining opportunities across cybersecurity, AI, cloud, and enterprise technology.
Sponsorship: Unfortunately we are unable to offer sponsorship for this role. This role in 3 words: Build, Collaborate, Deliver Top 3 qualities for this role: Communication, Delivery Expertise, Amplification Where you'll work: Depending on the needs of your business area, we expect hub based people to be in the office at least once a week, and to go to OVO Connection events in-person. You'll be assigned to the closest one of our three hub offices, Bristol, Glasgow, or London; unless your role requires field-based work. Each hub has accessible spaces to park your laptop, is designed to inspire people, help them connect and bring big ideas to life. Everyone belongs at OVO: At OVO, we are on a mission to solve one of humanity's biggest challenges, the climate crisis. And we know it takes all of us to change the world. That's why we need diverse people from all abilities, gender identities, ethnicities, ages, sexual orientations, life experiences and backgrounds to join us. Teamworking for the planet: Everything we do here spins around Plan Zero. So, naturally, the team you'll be joining plays a gigantic role in making that happen. Here's how: As a Senior Software Engineer, you'll own the end-to-end development of complex systems and features that are core to our business. This role in a nutshell: You will lead technical initiatives, make critical design decisions, and mentor engineers to elevate the team's capabilities. Your expertise will be the driving force that ensures we build scalable, high-quality software that pushes our company forward. Your key outcomes will be: Technical Leadership & Architecture: Drive the architectural vision for key features, designing robust, scalable systems and contributing to the technical roadmap to influence the future direction of the product. Engineering Excellence & Quality: Champion best practices by writing clean, efficient code, leading rigorous code reviews, and implementing comprehensive automated testing to ensure high-quality, performant solutions. Mentorship & Team Growth: Lead and mentor other engineers, fostering a culture of continuous learning and collaboration through knowledge sharing, technical discussions, and constructive feedback. Project Execution & Delivery: Translate complex projects into clear, executable tasks within an Agile framework, proactively resolving blockers to ensure the timely and efficient delivery of team commitments. Community & Knowledge Sharing: Actively contribute to the wider engineering community by leading discussions, sharing expertise through documentation and workshops, and driving the exchange of best practices. You'll be successful here at OVO if you Professional Experience: Significant hands on experience developing software in an agile environment, with a proven track record of delivering high-quality, clean code. Backend & Architecture: Expertise in designing and building scalable microservices-based architectures using languages like Node.js, Python, and TypeScript. Cloud & DevOps: Hands on experience with cloud platforms (GCP, AWS), containerization (Docker, Kubernetes), and modern CI/CD practices. Frontend Development: Proficiency in modern frontend frameworks such as React.js and/or React Native. Leadership & Mentorship: Proven ability to lead technical initiatives and mentor other engineers, fostering a culture of technical excellence. Collaboration & Problem Solving: Excellent communication and analytical skills, with the ability to thrive in a high ownership, collaborative team environment. Let's talk about what's in it for you: We'll pay you between £55,000 and £84,923, depending on your specific skills and experience. We keep our pay ranges broad on purpose to give us, and you, flexibility to match your experience to our zero carbon mission. You'll be eligible for an on target bonus of 15%. We have one OVO bonus plan that focuses on the collective performance of our people to deliver our Plan Zero goal. We also offer plenty of green benefits and progressive policies to help you feel like you belong at OVO and there's flex pay. We'll give you 9% Flex Pay on top of your salary - 4% of this is auto enrolled into your pension, and the remaining 5% is yours to do what you like with. You can use this to buy from our extensive range of flexible benefits, including our green benefits which we've put at the heart of our offering, add to your pension or even take it as cash. Here's a taster of what's on offer: For starters, you'll get 34 days of holiday (including bank holidays). For your health With benefits like a healthcare cash plan or private medical insurance depending on your career level, critical illness cover, life assurance, health assessments, and more. For your wellbeing With gym membership, travel insurance, workplace ISA, will writing services, dental insurance, and more. For your lifestyle With extra holiday buying, discount dining, home & tech loans, and supporting your favourite charities with give as you earn donations. For your home Get up to £400 towards any OVO Energy plan, plus great discounts on solar, smart thermostats and EV chargers. For your commute Nab a great deal on ultra low emission car leasing, plus our cycle to work scheme and public transport season ticket loans. Want to hear about our full range of flexible benefits and progressive people policies? Our People Team can tell you everything you need to know. For your Belonging To find better ways to support our people, we need to listen to each other's experiences and find ways to build a truly inclusive and diverse workplace. As part of this, we have 8 Belonging Networks at OVO. Led by our people, for our people - so when you join OVO, you can play a part - big or small - with any of the Networks. It's up to you. Oh, and one last thing We'd be thrilled if you tick off all our boxes, yet we also believe it's just as important we tick off all of yours. And if you think you have most of what we're looking for but not every single thing, go ahead and hit apply. We'd still love to hear from you! If you have any additional requirements, there's a space to let us know on the application form; we want to make the process as easy and comfortable for you as possible.
Apr 07, 2026
Full time
Sponsorship: Unfortunately we are unable to offer sponsorship for this role. This role in 3 words: Build, Collaborate, Deliver Top 3 qualities for this role: Communication, Delivery Expertise, Amplification Where you'll work: Depending on the needs of your business area, we expect hub based people to be in the office at least once a week, and to go to OVO Connection events in-person. You'll be assigned to the closest one of our three hub offices, Bristol, Glasgow, or London; unless your role requires field-based work. Each hub has accessible spaces to park your laptop, is designed to inspire people, help them connect and bring big ideas to life. Everyone belongs at OVO: At OVO, we are on a mission to solve one of humanity's biggest challenges, the climate crisis. And we know it takes all of us to change the world. That's why we need diverse people from all abilities, gender identities, ethnicities, ages, sexual orientations, life experiences and backgrounds to join us. Teamworking for the planet: Everything we do here spins around Plan Zero. So, naturally, the team you'll be joining plays a gigantic role in making that happen. Here's how: As a Senior Software Engineer, you'll own the end-to-end development of complex systems and features that are core to our business. This role in a nutshell: You will lead technical initiatives, make critical design decisions, and mentor engineers to elevate the team's capabilities. Your expertise will be the driving force that ensures we build scalable, high-quality software that pushes our company forward. Your key outcomes will be: Technical Leadership & Architecture: Drive the architectural vision for key features, designing robust, scalable systems and contributing to the technical roadmap to influence the future direction of the product. Engineering Excellence & Quality: Champion best practices by writing clean, efficient code, leading rigorous code reviews, and implementing comprehensive automated testing to ensure high-quality, performant solutions. Mentorship & Team Growth: Lead and mentor other engineers, fostering a culture of continuous learning and collaboration through knowledge sharing, technical discussions, and constructive feedback. Project Execution & Delivery: Translate complex projects into clear, executable tasks within an Agile framework, proactively resolving blockers to ensure the timely and efficient delivery of team commitments. Community & Knowledge Sharing: Actively contribute to the wider engineering community by leading discussions, sharing expertise through documentation and workshops, and driving the exchange of best practices. You'll be successful here at OVO if you Professional Experience: Significant hands on experience developing software in an agile environment, with a proven track record of delivering high-quality, clean code. Backend & Architecture: Expertise in designing and building scalable microservices-based architectures using languages like Node.js, Python, and TypeScript. Cloud & DevOps: Hands on experience with cloud platforms (GCP, AWS), containerization (Docker, Kubernetes), and modern CI/CD practices. Frontend Development: Proficiency in modern frontend frameworks such as React.js and/or React Native. Leadership & Mentorship: Proven ability to lead technical initiatives and mentor other engineers, fostering a culture of technical excellence. Collaboration & Problem Solving: Excellent communication and analytical skills, with the ability to thrive in a high ownership, collaborative team environment. Let's talk about what's in it for you: We'll pay you between £55,000 and £84,923, depending on your specific skills and experience. We keep our pay ranges broad on purpose to give us, and you, flexibility to match your experience to our zero carbon mission. You'll be eligible for an on target bonus of 15%. We have one OVO bonus plan that focuses on the collective performance of our people to deliver our Plan Zero goal. We also offer plenty of green benefits and progressive policies to help you feel like you belong at OVO and there's flex pay. We'll give you 9% Flex Pay on top of your salary - 4% of this is auto enrolled into your pension, and the remaining 5% is yours to do what you like with. You can use this to buy from our extensive range of flexible benefits, including our green benefits which we've put at the heart of our offering, add to your pension or even take it as cash. Here's a taster of what's on offer: For starters, you'll get 34 days of holiday (including bank holidays). For your health With benefits like a healthcare cash plan or private medical insurance depending on your career level, critical illness cover, life assurance, health assessments, and more. For your wellbeing With gym membership, travel insurance, workplace ISA, will writing services, dental insurance, and more. For your lifestyle With extra holiday buying, discount dining, home & tech loans, and supporting your favourite charities with give as you earn donations. For your home Get up to £400 towards any OVO Energy plan, plus great discounts on solar, smart thermostats and EV chargers. For your commute Nab a great deal on ultra low emission car leasing, plus our cycle to work scheme and public transport season ticket loans. Want to hear about our full range of flexible benefits and progressive people policies? Our People Team can tell you everything you need to know. For your Belonging To find better ways to support our people, we need to listen to each other's experiences and find ways to build a truly inclusive and diverse workplace. As part of this, we have 8 Belonging Networks at OVO. Led by our people, for our people - so when you join OVO, you can play a part - big or small - with any of the Networks. It's up to you. Oh, and one last thing We'd be thrilled if you tick off all our boxes, yet we also believe it's just as important we tick off all of yours. And if you think you have most of what we're looking for but not every single thing, go ahead and hit apply. We'd still love to hear from you! If you have any additional requirements, there's a space to let us know on the application form; we want to make the process as easy and comfortable for you as possible.
