2,726 to 2,750 of 18,265 AI Jobs in England

market, shopper, consumer and commercial data is turned into action. You'll own and develop market, brand and category reporting, using Power BI, Excel, AI and modern data tools to make reporting smarter, faster and increasingly automated. You'll bring multiple data sources together to uncover trends, identify opportunities … integrity, master data and relationships with external insight partners. Support key commercial cycles - provide analysis for strategy planning, QBRs, customer reviews and presentations. Harness AI and automation - find smarter ways to synthesise data and accelerate analysis. Make data accessible - communicate findings clearly and bring the commercial story behind the numbers ...

Global Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting‐edge technologies like AI, Machine Learning, Generative AI, and Large Language Models (LLMs ...

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading … This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

with scientific and machine learning libraries. Excellent communication skills, with the ability to explain technical concepts clearly to geoscientists, data scientists, and product stakeholders. AI/ML Implementation Design, implement, and test AI/ML methods that automate or enhance subsurface interpretation, prediction, and modelling. Develop methods that may preserve … Innovation Work closely with geoscientists, data scientists, and product teams to turn research ideas into practical prototype workflows. Stay current with relevant advances in AI/ML, geoscience analytics, and subsurface modelling, and assess how they can be applied within Landmark workflows. Contribute to technical presentations, publications, patent disclosures ...

breakdown technical problems Develops secure and high-quality production code, and reviews and debugs code written by othersDrives 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 acceleration … 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. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall ...

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 ...

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. ...

stewardship, supplier management, risk governance and executive engagement. It leads complex decisions across SAP S4 RISE, on premise ECCs & BWs, S4 Public, SAP Business AI Platform (BTP) and Joule, integration, data and analytics platforms, engineering toolchains, test automation, observability, application lifecycle management and the wider SAP technology ecosystem. This … estate that reliably supports bp’s global business operations and transformation agenda. Successful delivery of SAP platform strategy and transformation outcomes, enabling cloud adoption, AI innovation, technology simplification and reduced technical debt. High‐performing SAP Platform services that consistently meet agreed availability, recoverability, security, compliance and customer experience objectives. Optimised ...

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 ...

Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want … forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will haveDrive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with ...