5,551 to 5,575 of 18,274 AI Jobs in England

governance and 'licence to operate' that lets them scale it safely. You will operate at the intersection of technology strategy, operating model design and AI governance, translating a fast-moving Copilot roadmap into decisions senior leaders can trust. In this role you will play a key part in:* **Setting … Copilot strategy:** Shaping a clear strategic vision for Microsoft Copilot - spanning Microsoft 365 Copilot, Copilot Chat, Agent Builder, Copilot Studio and emerging workplace AI capabilities such as Cowork and Scout - aligned to security, data and automation capabilities.* **Defining the licence to operate:** Designing the governance frameworks, guardrails and 'licence ...

want it to go. Join EY and help to build a better working world. EY aspires to become the world’s most trusted AI-powered professional services firm, delivering transformative value to clients and employees. Leveraging its extensive data across finance, legal, HR, and core business operations, EY is uniquely … next US$50B. Central to this effort is advancing data management across its lifecycle to enhance existing services and create innovative offerings. EY’s AI Ready Data Strategy, led by Applied Innovation and the Global Data Office, is the foundation for this transformation. The Data Office drives applied innovation ...

Ellison Institute of Technology Oxford, United Kingdom Your Role: At EIT we are seeking an experienced and detail orientated Bio-ML Scientist to develop AI and machine learning systems that drive GBI’s scientific aims, working alongside researchers and technical staff to address key questions in biological design and discovery. … optimisation. This is an exceptional opportunity to join GBI’s Technology Hub on ML Engineering, a fast-growing team at the forefront of AI/ML and synthetic biology with access to exceptional facilities and expertise. We are looking for a colleague who thrives in a team and cares deeply ...

devices and applications. Designing and managing AWS-based cloud infrastructure and backend services. Creating scalable data ingestion and processing pipelines. Supporting the integration of AI-driven functionality into customer-facing products. Owning software quality, observability, deployment, and release processes. Collaborating with product and engineering teams to translate requirements into production … connected devices. Strong knowledge of AWS cloud services, infrastructure, authentication, and data systems. Full stack development capability across frontend, backend, and infrastructure. Experience leveraging AI tools and understanding how AI can enhance product experiences. Comfortable operating in fast-moving environments with high levels of ownership. Strong communication skills ...

daily optimization calls around campaign strategy, helps design the tests, and finds the opportunities rather than waiting for one Search is changing quickly - AI Max, Performance Max, Demand Gen, and AI answer engines are reshaping how intent is captured - and we want someone who is genuinely excited to figure … testing roadmap: form hypotheses, design clean experiments, read results with an eye on statistical significance, test and scale emerging Google and Microsoft products — AI Max, Performance Max, Demand Gen, AI-based ad copy Build and maintain reporting that leadership trusts — pacing dashboards and performance reporting across market, campaign, and keyword ...

foundation for autonomous e-commerce. We're working with a very early-stage startup building the trust and risk layer for agentic commerce. As AI agents become capable of searching, selecting and purchasing products autonomously, a new problem emerges: how do you know an agent will actually make the right … user UX, so this suits someone who is comfortable operating beyond a traditional backend remit You’ll work on problems across: Agentic AI/LLMs Payment infrastructure Backend systems Agentic commerce protocols End-user product & UX What We're Looking For Engineers who have already demonstrated they can operate successfully ...

This role needs someone who has built and operated serious AWS environments, understands large-scale systems, and can create the platform conditions for frontier AI products to work in production. You'll lead the team that defines the engineering approach for AWS, builds our production AWS platform, and onboards development … infrastructure as code, account management, automated pipelines, observability, resilience, operating coverage and cost control. You'll also help define how the platform supports AI, data engineering and high-scale product demand, including where AWS Bedrock and other AI services can be used responsibly in production. The role is about making ...

ensuring regulatory compliance, operational excellence, and customer confidence. The role is accountable for defining, governing, and delivering end-to-end data, analytics, architecture, and AI capabilities across Digital & IT.Operating at enterprise scale, the role spans commercial data, digital channels, BSS/IT platforms, and network domains, ensuring data supports product … Digital & IT data strategy in partnership with Product leadership, ensuring alignment with product, technology (IT and Networks), and commercial objectives. Establish data, analytics, and AI as core enablers of business growth, customer experience excellence, and operational effectiveness. Define and maintain a clear, prioritised roadmap covering data platforms, analytics, and AI ...

stakeholders to translate business and technical requirements into scalable platform designs, and document standards, patterns, and runbooks for team‐wide use Leverage enterprise‐authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while … outputs through peer review, automated testing, and secure coding standards Apply 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, capabilities, and skills Formal training or certification on software engineering concepts ...

Overview Aioi R&D Lab – Oxford is an AI R&D company based in Oxford, on a mission to harness AI to understand, predict, and manage risk, helping build a safer, more resilient society. We sit at the intersection of academia and industry, working with Oxford's professors, researchers … graduates alongside commercial spinouts and partner companies, to turn frontier research into AI that actually ships rather than just gets published. Our work spans applied AI for insurance and adjacent industries, including supply chains, nature, autonomous driving, and the emerging challenges nobody's solved yet, alongside deep research ...

others and have experience and/or interest in tech and eCommerce, this role might be for you. We've been early adopters of AI technology as a business, and we need that same mindset in you. This isn't a nice-to-have, we're looking for genuine AI … users with real fluency across AI tools, people who think AI as a natural part of how they work, not just someone who's dabbled. No two days will be the same. You'll work with clients, developers, designers and other project managers to deliver exciting eCommerce projects. There will ...

working with technology. About the Company We are a growing business technology consultancy helping companies modernise how they work through smarter systems, automation, reporting, AI tools, and process improvement. We work with businesses across multiple industries including manufacturing, distribution, finance, and professional services. Our environment is collaborative, fast-paced … reporting, workflows, and operational efficiency Provide system support, troubleshooting, and user guidance Analyse data and identify opportunities for process improvement Use Microsoft Excel and AI tools to improve productivity and problem-solving Participate in client meetings, workshops, training sessions, and project activities Continuously learn new technologies and business systems ...

ensuring regulatory compliance, operational excellence, and customer confidence. The role is accountable for defining, governing, and delivering end-to-end data, analytics, architecture, and AI capabilities across Digital & IT.Operating at enterprise scale, the role spans commercial data, digital channels, BSS/IT platforms, and network domains, ensuring data supports product … Digital & IT data strategy in partnership with Product leadership, ensuring alignment with product, technology (IT and Networks), and commercial objectives. Establish data, analytics, and AI as core enablers of business growth, customer experience excellence, and operational effectiveness. Define and maintain a clear, prioritised roadmap covering data platforms, analytics, and AI ...

underwriters, and credit teams, turn their SOPs into agent teams, and own the deployment through to sign-off. Objective Be the bridge between our AI platform and BFSI customers. You'll sit with auditors, underwriters, and credit teams — turn their SOPs into working agent teams and own the deployment through … customer sign-off. About the role Be the bridge between our AI platform and BFSI customers. You’ll sit with auditors, underwriters, and credit teams — turn their SOPs into working agent teams and own the deployment through customer sign-off. This is a deeply technical role that ...

delivery professional to step in and take ownership of high-impact deliverables across some of our most critical strategic pillars: Data Transformation and Enterprise AI Adoption. This is not a traditional IT delivery role. While a strong technical understanding of data architecture is essential, your primary objective will be leading … cultural, operational, and behavioural shifts required to embed a true single source of truth across the business. Experience with or a keen interest in AI tools and automated workflows is highly desirable, as you will have the opportunity to support our shift towards an AI-empowered operating model. Key Responsibilities ...

controls automated into the pipeline with audit evidence generated automatically. Test automation strategy implementation, with coverage and gate compliance reported per release train. Governed AI-assisted engineering adoption, and an approved lifecycle and control framework for AI systems in production. Own the architecture of how software is built, tested, secured … released across the engineering estate — and extend that architecture in two directions: applying AI to accelerate the software lifecycle, and applying lifecycle discipline to AI systems themselves. The role is equally about engineering leverage and about control. Duties and Responsibilities Pipeline and delivery architecture: Define the reference CI/ ...

Overview: The Digital Product Developer is responsible for designing, developing and maintaining digital products, applications, AI enabled solutions and intelligent automations that enhance the People experience and extend the organisation's enterprise technology ecosystem. Working alongside Product Managers, Senior Product Managers and the Senior Innovation & Experience Manager, the role transforms … ideas into practical digital solutions by building lightweight applications, AI agents, integrations and user experiences that improve productivity, simplify processes and solve business problems. The Digital Product Developer combines technical expertise with product thinking, ensuring every solution is secure, scalable, maintainable and designed around the needs of the people ...

thing. Insurance hasn't changed much in over a century. The way we live, work and travel has. We're building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive. We're not just updating insurance … leading the AI evolution in insurance For us, AI isn't a line on a roadmap or a buzzword on a slide. It's our operating reality, and it's how we build products that back drivers instead of the old insurance playbook. We don't do things slowly ...

Corporate Engineering AI (CE AI) Team The Corporate Engineering AI team is the central enablement and platform delivery function for LSEG’s internal agentic AI ecosystem. The team’s mission is to scale safe, high‐quality AI capabilities across the enterprise by providing shared platforms, patterns, governance, and delivery support. … AI owns and operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering individual business use cases end‐to‐end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions to AI agents ...

with Microsoft of over 80,000 professionals, 20 times Microsoft Global SI Partner of the Year, and recognised as a leader across categories including AI and Business Applications by analysts including Everest Group, Forrester, and IDC. We offer our clients a complete partnership at every stage of their transformation journey … from defining strategy through delivery of technology and into managed service or outcome-based offerings. Generative and agentic AI presents a huge opportunity for our clients to reinvent how they work, and Microsoft Copilot is at the heart of that transformation. This is a high-growth area for the Accenture ...

operational domains. If you want your testing to matter - safety, compliance, on-time performance - this is it. You'll also be encouraged to use AI-assisted tooling for test design, automation, defect investigation and documentation. What You'll Be Doing Analysing requirements and workflows to define test approaches, and producing … resolution Collaborating across product, engineering and domain teams to ensure solutions are testable Championing improvements in quality, automation maturity and engineering practice, including AI-assisted tools What You'll Bring A degree in Computer Science, Engineering, Information Systems or a related field 3+ years in QA, Software Testing or Quality ...

Enterprise Data & Analytics (EDA) team working at the forefront of data + AI. You’ll play an influential role in designing and shaping data & AI foundations that power cutting-edge AI, agentic AI and advanced analytics, ensuring our clients trust their data, scale intelligent products and accelerate business impact.## YOUR … intersection of advisory, strategy and delivery, perfect for someone who thrives on shaping vision and guiding clients through complex data challenges. From enabling AI-ready data foundations to embedding ethical governance for advanced analytics, you’ll help organisations unlock the full potential of their data.* We **ADVISE** on data, analytics ...

integration patterns that power the next generation of our enterprise data platform.You’llshape how data products, APIs, event streams, semantic models, analytics capabilities, and AI-native interfaces work together to deliver secure, scalable, and reusable solutions across the business. You’lllove this role if you enjoy solving complex architecture challenges … creating reusable patterns that accelerate delivery. This is a hands-on architecture role where your decisions will influence how customers, internal teams, applications, and AI-powered consumers interact with the Comply Data Platform for years to come. What you'll do Design end-to-end platform solutions that connect data ...

Enterprise Data & Analytics (EDA) team working at the forefront of data + AI. You’ll play an influential role in designing and shaping data & AI foundations that power cutting-edge AI, agentic AI and advanced analytics, ensuring our clients trust their data, scale intelligent products and accelerate business impact.## YOUR … intersection of advisory, strategy and delivery, perfect for someone who thrives on shaping vision and guiding clients through complex data challenges. From enabling AI-ready data foundations to embedding ethical governance for advanced analytics, you’ll help organisations unlock the full potential of their data.* We **ADVISE** on data, analytics ...

machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar technology is also important. A good understanding of how AI models execute in practice is essential, including graph processing, operator execution, memory management, and backend integration. This role involves analysing, investigating, diagnosing, and resolving complex functional … integrate, test, and optimise solutions within a large, modular codebase. Strong analytical and problem-solving skills, combined with an interest in machine learning systems, AI acceleration, and performance optimisation, will support success in the role. Beneficial but Not Required Experience across every area below is not expected. Relevant knowledge ...