3,351 to 3,375 of 21,389 AI Jobs in England

solve, and being hands-on enough that the interesting part of the work lands with you, not someone else — you'll build with AI, not watch it happen. This is the stretch zone. Come find out what you're capable of. About the role Klarna runs more than 200 predictive … AI/LLM models across credit scoring, fraud detection, AML/CTF, finance, and operations — and five people are responsible for independently challenging every one of them. You'd be the sixth, joining model risk within Risk Control to own model risk policy and governance and to review and challenge ...

management, snapshots, calculated fields, and the data contracts powering analytics and reporting across the product. In this role you will not write the code. AI agents will. You will own the specifications that govern these services, the agentic pipeline that turns those specifications into production software, and the verification machinery … that proves the output is correct — with the explicit goal of reaching fully AI-embedded development: no human-written code, no human line-by-line review, and external behavioural scenarios, not traditional test suites, as the quality gate. You will collaborate closely with Data Platform and Analytics engineers, Support teams ...

that help Information Security teams understand security posture, risk trends, control effectiveness, exposure, and remediation progress. Our work is increasingly built on automation and AI-enabled analytics, and this role builds the data foundations that make that possible. This opening focuses on the backend of that work. Reporting … will design and operate the data engineering foundations our analytics depend on: ingestion and transformation pipelines, Snowflake data models, automation, and the enrichment and AI-ready data patterns that turn raw security signals into trusted, analytics-ready data. Presentation-layer engineers own most visualization delivery, so your primary contribution ...

various phases of discovery and drug development. Our software and scientists incorporate modern advances in scientific understanding, drug development experience, data analysis, and AI resulting in significant opportunities to decrease the cost and increase the probability of success for new drug approval and commercialization. This is a great opportunity … best practice. It’s a hands-on role: you’ll be in the code daily, building and owning the automation frameworks yourself and using AI to amplify how much you and the team can deliver, while setting direction for testing, raising engineering quality across the team, and mentoring others. AI ...

modern security frameworks Exposure to cloud networking (AWS, Azure) Exposure within observability and AIOps (Splunk, Logic Monitor, Big Panda) Experience with automation and AI-driven operations (Python, NetBox, Ansible, Terraform) Relevant certifications (e.g. CCNP/CCIE, JNCIP/JNCIE, etc.) Working experience with AI within the workplace i.e. Microsoft CoPilot … Willingness to travel as required (typically up to 25%) CDW is committed to being an AI‐fluent organization We’re looking for people who bring curiosity, a learner’s mindset, and a willingness to engage with ever‐evolving technology and tools. We value adopting AI as a partner, openness ...

building the next generation of travel and expense (T&E) technology using AI and large language models. Our mobile platform blends cutting-edge AI with strong product and UX so travelers get an intelligent companion, not just another booking app. The app should understand needs, anticipate requests, and deliver personalized … help through conversational UI and rich, immersive interactions. You'll work at the intersection of AI and mobile, helping define how travelers interact with this kind of product on iOS. What You'll Do: Design and ship innovative UX patterns for conversational interfaces and AI-driven experiences on iOS Architect ...

cultivating an inclusive team culture Collaborate with backend, platform, and SRE partners to deliver end-to-end solutions Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required Qualifications/Skills Hands-on experience building production UIs with React ...

modern security frameworks Exposure to cloud networking (AWS, Azure) Exposure within observability and AIOps (Splunk, Logic Monitor, Big Panda) Experience with automation and AI-driven operations (Python, NetBox, Ansible, Terraform) Relevant certifications (e.g. CCNP/CCIE, JNCIP/JNCIE, etc.) Working experience with AI within the workplace i.e. Microsoft CoPilot … Willingness to travel as required (typically up to 25%) CDW is committed to being an AI-fluent organization We're looking for people who bring curiosity, a learner's mindset, and a willingness to engage with ever-evolving technology and tools. We value adopting AI as a partner, openness ...

bottlenecks. Participate in feature planning to ensure metrics, alerting, logging, automation, resiliency, capacity, and performance needs are built in from the start. Use approved AI tools to accelerate root-cause analysis, log and trace investigation, runbook drafting, post-incident analysis, test scaffolding, and documentation. Continuously develop AI skills relevant … role, including effective prompting, output validation, automation workflows, and safe usage patterns. Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while ...

modern security frameworks Exposure to cloud networking (AWS, Azure) Exposure within observability and AIOps (Splunk, Logic Monitor, Big Panda) Experience with automation and AI-driven operations (Python, NetBox, Ansible, Terraform) Relevant certifications (e.g. CCNP/CCIE, JNCIP/JNCIE, etc.) Working experience with AI within the workplace i.e. Microsoft CoPilot … Willingness to travel as required (typically up to 25%) CDW is committed to being an AI-fluent organization We're looking for people who bring curiosity, a learner's mindset, and a willingness to engage with ever-evolving technology and tools. We value adopting AI as a partner, openness ...

management, snapshots, calculated fields, and the data contracts powering analytics and reporting across the product. In this role you will not write the code. AI agents will. You will own the specifications that govern these services, the agentic pipeline that turns those specifications into production software, and the verification machinery … that proves the output is correct - with the explicit goal of reaching fully AI-embedded development: no human-written code, no human line-by-line review, and external behavioural scenarios, not traditional test suites, as the quality gate. You will collaborate closely with Data Platform and Analytics engineers, Support teams ...

Leadership Team. In this role you will lead two pivotal areas: overseeing shared technology services that power the business and building platforms that enable AI, data and business-embedded technology teams deliver modern tools faster You will be responsible for the reliability and performance of the firm's infrastructure, cloud … services. Beyond operating critical technology services, you will help transform infrastructure into a modern platform capability by delivering scalable, self-service cloud, data, and AI foundations that accelerate innovation across the firm. You will also play a key role in growing our Budapest technology hub as a center of excellence ...

modelling skills (financial or transactional systems advantageous)Experience with concurrency, locking, idempotency and distributed consistencyExperience with message queues, background workers and workflow orchestrationExperience integrating AI/ML or decisioning services into backend platformsComfortable building systems that consume AI outputs and execute deterministic actionsAbility to design safety, audit and rollback mechanisms … around automated executionUnderstanding of the role context plays in designing a modern AI-native systemHands-on experience deploying and operating Node.js services on AWSExperience with CI/CD, infrastructure-as-code and containerised workloadsDrive to improve as an Engineer – eager to work with peers who push and support each other ...

vital link between the customer’s business goals and Cisco’s strategic delivery objectives. You will be instrumental in driving continuous improvement through AI-enabled tools and methodologies, ensuring that every project is a catalyst for deeper customer partnerships and sustained growth. Your Impact Strategic Delivery & Lifecycle Management: Lead large … ensure partner selection and performance meet our high standards for service delivery. Innovation & Continuous Improvement: Champion the modernisation of delivery through the application of AI and automation tools. You will lead retrospective initiatives, share knowledge across engagements, and mentor project teams to ensure that lessons learned are institutionalized as best ...

join their finance team. This is a high-profile role. You'll look at how the business invests in its products, technology and AI, and what that investment delivers. It's an ideal next step for a finance business partner who wants real exposure to a technology business … unit economics Tracking R&D delivery and spend against the roadmap and investment cases Creating business cases for new R&D, AI and infrastructure investment, and reviewing outcomes afterwards Analysing hosting and infrastructure costs and maintaining cost models Building dashboards and reporting that give leadership clear, timely visibility of spend ...

About Scale Factory We are an AI enablement consultancy. Delivering quality-led AI-first foundations, embedding capability and excellence into the foundational fabric of the companies we work with. We give leaders the confidence to move faster, take smarter risks and pursue transformation. Formerly Ten10, we have deep roots … Quality which means we dont just build for the future, we ensure it actually works. We combine this engineering discipline with cutting-edge AI expertise to deliver robust, scalable foundations that turn ambitious transformation into reliable reality. Heres why youll love being part of our team: Exciting Projects: Collaborate ...

building the next generation of travel and expense (T&E) technology using AI and large language models. Our mobile platform blends cutting‐edge AI with strong product and UX so travelers get an intelligent companion, not just another booking app. The app should understand needs, anticipate requests, and deliver personalized … help through conversational UI and rich, immersive interactions. You’ll work at the intersection of AI and mobile, helping define how travelers interact with this kind of product on iOS. What You’ll Do: Design and ship innovative UX patterns for conversational interfaces and AI-driven experiences on iOS Architect ...

About AnthropicAnthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build … beneficial AI systems. About the roleOur mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways ...

About Scale Factory We are an AI enablement consultancy. Delivering quality-led AI-first foundations, embedding capability and excellence into the foundational fabric of the companies we work with. We give leaders the confidence to move faster, take smarter risks and pursue transformation. Formerly Ten10, we have deep roots … Quality which means we don’t just build for the future, we ensure it actually works. We combine this engineering discipline with cutting-edge AI expertise to deliver robust, scalable foundations that turn ambitious transformation into reliable reality. Here’s why you’ll love being part of our team: Exciting ...

enterprise-scale digital solutions. They're particularly interested in candidates with strong engineering fundamentals who also have experience working with modern data platforms and AI-enabled software engineering practices. What you'll be doing as a Technical Lead Leading the technical delivery of complex, enterprise-scale cloud solutions Acting … translate business requirements into scalable, high-quality technical solutions Driving continuous improvement across the full software delivery lifecycle Championing modern engineering practices, including AI-assisted software development, automation and productivity improvements Supporting the delivery of data-intensive platforms and enterprise technology solutions What they're looking for: Proven experience ...

needed to build innovative solutions for their most complex challenges. Are you passionate about helping partners transform their migration practices using GenAI and agentic AI? The AWS Partner Core Tech team is looking for a Senior Partner Solutions Architect to accelerate partner-led cloud migrations at scale and support … core AWS partner program - the Migration Acceleration Program (MAP). In this role, you will work at the intersection of partner enablement, emerging AI technologies, and enterprise migration delivery. As a trusted technical consultant to partners and empowering them to build AI-native migration practices to unlock measurable customer outcomes. ...

Analytics Consulting (DACs) team - a technical, client-facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI components across Xantura’s projects. As an ML Engineer here, your core work is designing, training, evaluating, and productionising machine learning models on complex, multi … real operational ML problems - not just prototypes. You will work directly with production data, client technical teams, and our internal engineering ecosystem to deliver AI components that are robust, scalable, and deployed into live environments. Key Responsibilities Machine learning engineering Design, train and optimise predictive models using advanced architectures such ...

will support the delivery of advanced analytics solutions that drive measurable business outcomes for global clients while contributing to the development of scalable analytics, AI and data science capabilities across the dentsu network. This is a hands-on role that combines technical expertise, analytical problem-solving and stakeholder collaboration. … development of reusable analytics frameworks, tools and methodologies that can be applied across multiple client engagements. Support the testing and adoption of AI-enabled analytics capabilities, including predictive modelling, automation and emerging GenAI use cases. Help identify repeatable client challenges and opportunities that could benefit from standardised analytical approaches. Partner ...

performance, reliability and maintainability. Helping shape data strategy, engineering standards and best practices around governance and data democratisation. Supporting the adoption of advanced analytics, AI and machine learning capabilities. Developing Infrastructure as Code alongside Cloud Engineering. Ensuring solutions meet data privacy, security and compliance requirements. Working collaboratively within an Agile … ways of working. Nice to Have Experience with Docker, Java/Scala, Kafka, Pulsar, Azure Event Hub, Collibra, Apache Iceberg, Apache Arrow, PySpark or AI engineering technologies such as Snowflake AI, LangChain, LlamaIndex or Pinecone would be advantageous. This is a great opportunity to join a collaborative team and have ...

designed, developed and operated and are comfortable working with the different technical experts being part of a multidisciplinary team. Lead the strategic adoption of AI-enabled product management practices, using advanced AI capabilities to deliver superior outcomes faster, unlock new opportunities for innovation, and create measurable business value. … role model for AI-enabled delivery, demonstrating how AI can be leveraged responsibly to enhance creativity, insight generation, problem-solving, and operational efficiency across the product lifecycle. Be an advocate for user‐centred methodology for digital products while balancing demands to meet business objectives. Understand agile and lean practice. ...