1,851 to 1,875 of 20,497 AI Jobs in England

fantastic opportunity to shape data strategy, lead a growing capability and help build scalable, future-ready solutions that support reporting, analytics and emerging AI initiatives. What you'll be doing: Leading the development of our modern data platform Designing scalable data pipelines and solutions Driving data governance, quality and security … standards Managing and developing a small team Working closely with stakeholders across the business Supporting our future analytics and AI roadmap What we're looking for: Experience in Data Engineering, Data Platform or Analytics Engineering leadership Strong expertise in Microsoft Fabric, Azure Databricks, Python and SQL Experience delivering cloud-based ...

possibe Inside ir35 Contract Opportunities Job Description POSITION OVERVIEW: We are seeking an experienced and visionary Associate Director, Digital Marketing, Data & AI Lead (Ex-US) to join our Commercial IT organization. This strategic role is responsible for defining and delivering the technology strategy, roadmap and execution of Digital Marketing, Content … Analytics and AI capabilities across Gilead's Ex-US Commercial organisation. The successful candidate will act as a trusted technology partner to the business, driving digital and omnichannel engagement, data-driven decision making, and AI-enabled business transformation across global markets. Operating across a diverse affiliate landscape outside ...

Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. … ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. The role As a Solutions Engineer at Encord, you will be the core technical expert and problem-solver for our most complex customers. ...

Senior Data Engineer must be an experience data professional with in-depth skills on AWS Cloud architecture, AWS data services, Data Pipeline automation (with AI integrations desirable) and ETL development (design, build, test and performance tune). Must have knowledge on data modelling techniques, including dimensional models and conformed datasets. …/CD) - Knowledge and Experience - desirable - AWS Databrew - AWS RDS/Redshift - AWS Macie - AWS CloudWatch - AWS Quick - AWS Sagemaker (Unified Studio and AI) - Power BI #J-18808-Ljbffr ...

technical standards, foster innovation, and ensure the delivery of high-quality, resilient technology products. You will collaborate with cross-functional teams to integrate advanced AI and automation practices, shaping the future of payments technology. Job Responsibilities: Set technical direction and reference architecture for B2B agentic commerce, including multi-agent topology … others Partner with platform, product, risk, and client-facing teams to integrate external agents and contribute reusable capabilities Drive adoption of enterprise-authorized AI-assisted engineering practices, establishing validation standards and promoting reuse Apply knowledge of the Software Development Life Cycle toolchain, including AI-assisted development and automation Identify opportunities ...

many conditions remain unclear, limiting our ability to identify the right targets, design the right interventions and bring the right medicines to patients. The AI Accelerator exists to change that. Based in London and sitting within Computational Innovation (@computationalinnovation), a global organisation spanning computational biology, human genetics, data excellence … AI, the Accelerator’s mission is to build production-quality AI capabilities that deepen our understanding of disease biology and increase probability of success. We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking ...

work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO As a team: Working across industry groups, our Data & AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile data and AI solutions … world. We operate across Financial Services, Resources, Products, Communications and Health & Public Services. Our practice is built around three strategic capabilities: AI Platform Engineering, AI Pipelines, and Data Products. Together these capabilities cover the full spectrum of modern data and AI delivery — from the cloud infrastructure and platforms that underpin ...

expertise across the Harness Software Delivery Platform, including Continuous Integration, Continuous Delivery, Security Testing Orchestration (STO), Chaos Engineering, Cloud Cost Management (CCM), and Harness AI Agents. The ideal candidate will bring hands on experience in designing scalable CI/CD architectures, migrating from legacy tool chains, implementing DevSecOps governance … enabling teams in enterprise environments. Proven experience in end to end CI/CD delivery, cloud platforms, Kubernetes, OPA based governance, and AI driven pipeline automation using Harness AI Agents is essential. Roles And Responsibilities Lead the design, implementation, and optimization of CI/CD pipelines using the Harness platform ...

Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Design the blueprint. Architect the future of Wealth & Asset Management. Empower data transformation through modern, AI-enabled ways of working. The Role Capco is seeking a Senior Data Architect to lead and deliver complex data architecture initiatives across our Wealth & Asset … will contribute to evolving Capco’s Wealth & Asset Management data architecture propositions and thought leadership in modern, cloud-native data ecosystems, exploring how approved AI tools, including Generative AI and Agentic AI where appropriate, can improve insight, productivity, and delivery while maintaining human oversight and responsible AI guardrails. What ...

related technologies Advocate for and implement firmwide frameworks, tools, and practices within the Software Development Life Cycle Promote adoption and governance of approved AI-assisted engineering practices to improve code quality and delivery speed Encourage diversity, inclusion, and respect within the team culture Apply knowledge of automation tools and AI … Hands-on expertise in system design, application development, testing, and operational stability Advanced proficiency in one or more programming languages and technical disciplines (cloud, AI, ML, etc.) Ability to tackle design and functionality challenges independently Demonstrated experience with enterprise-authorized AI-assisted software development tools Strong understanding of responsible AI ...

client is a leading UK fashion and home retailer. We are looking for a Data Scientist to join our growing Data Science AI team at our client! Based from our client in Enderby, Leicestershire! The Role: As a Data Scientist you will play a crucial part in managing, innovating … optimising our core AI systems and large scale product catalogue (Data feed). Working heavily within DataBricks and Google Cloud Platform, you will focus on enriching our product catalogue feeds, building scalable machine learning solutions and driving continuous improvement in our automated capabilities. Rather than standard reporting, the focus ...

Machine Learning Engineer, Platform London, UK Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and agentic workflows. We are looking for a Machine Learning Engineer to join our team and build the retrieval and knowledge representation systems … infrastructure teams to shape the direction of the platform. Ideally you'd have: 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases. Strong engineering fundamentals, supported by a Master’s or PhD degree in Computer Science, Machine Learning, AI, or equivalent ...

drive performance and resiliency improvements, and automate recurring problems to strengthen operational stability. This role offers the opportunity to grow your technical influence, explore AI and GenAI patterns responsibly, and build a long-term engineering career within a firm that invests in its people. Job responsibilities Lead delivery of complex … inclusion, and respect Produce architecture and design artifacts for complex applications while ensuring design constraints are met throughout software code development 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 ...

integration, system, and automated testing within a distributed SaaS environment. The ideal candidate is curious, technically capable, detail-oriented, and interested in leveraging modern AI-assisted tools and workflows to improve software quality, test coverage, and team efficiency. TECHNICAL ENVIRONMENT & SCOPE Test distributed SaaS platform components across cloud-hosted … quality KPI trends throughout the SDLC and release lifecycle. Help mature the QA SDLC by contributing ideas for improving processes, automation, efficiency, and communication. AI-AUGMENTED QA & INNOVATION Leverage AI-assisted development and testing tools (e.g., GitHub Copilot or similar technologies) to improve QA workflows, efficiency, and test coverage. Experiment ...

culture. Together, we focus on excellence, collaboration, and continuous improvement. Job responsibilities Develop workflows and ELT pipelines using Python and Databricks. Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements. … using entitlements frameworks. Update logical or physical data models based on new use cases. Use SQL frequently and understand NoSQL databases Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency ...

into a team lead. You are well versed in the full knowledge graph development lifecycle. You formulate real-world problems into practical, efficient, scalable AI and Knowledge Graph solutions, working hands-on across the lifecycle from ingestion through modeling, curation, and deployment. You apply current methodologies, techniques, and algorithms with … right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help articulate the value of generative ...

into a team lead. You are well versed in the full knowledge graph development lifecycle. You formulate real-world problems into practical, efficient, scalable AI and Knowledge Graph solutions, working hands-on across the lifecycle from ingestion through modeling, curation, and deployment. You apply current methodologies, techniques, and algorithms with … right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help articulate the value of generative ...

Staff Software Engineer, Inference London, UK Anthropic’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 role Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. ...

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and agentic workflows. We are looking for a Machine Learning Engineer to join our team and build the retrieval and knowledge representation systems at the heart of the platform. … infrastructure teams to shape the direction of the platform. Ideally you'd have: 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases. Strong engineering fundamentals, supported by a Master’s or PhD degree in Computer Science, Machine Learning, AI, or equivalent ...

operating models and métier specificities. It will create a standardized, single global core ERP model, based on the SaaS Microsoft D365 F&O platform. AI and intelligent automation have become central pillars of our testing and quality strategy — enabling faster test preparation, more predictable execution, higher coverage, and significant cost … Your role @ Chanel We are seeking a forward‐looking D365 Test Manager who will lead HERO’s global testing with a strong bias toward AI adoption, automation, and intelligent quality assurance. Although operating as a solo Test Manager, you will work closely with System Integrator (SI) partners who bring specialised ...

products that create customer value and support business growth. You will lead the strategy, architecture, development, and operation of key digital platforms, including IoT, AI, Analytics, customer-facing applications, and digital services. Working closely with business and technology leaders, you will drive digital transformation initiatives, establish engineering best practices … delivering world-class digital experiences. What you’ll be doing: Define and execute the Digital Engineering strategy, creating a unified vision across IoT, AI, analytics, customer applications, and digital services. Lead the development and operation of enterprise digital platforms, including IoT ecosystems, AI capabilities, analytics platforms, and customer engagement solutions. ...

high-impact client challenges, develop your expertise in a specialist and growing business, and help shape how data, technology and emerging tools such as AI are used in practice. The Role We’re looking for an experienced BI Developer to join our ATLAS team in London. This is a hands … work across multiple projects and priorities, so we’re looking for someone who combines strong technical capability with confidence, adaptability and ownership. AI and how we work AI is increasingly part of how we approach development at Holland Mountain, and we’re looking for someone who is genuinely interested ...

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia … Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Candidates for this role will lead simulation-driven testing, automation, and software quality efforts for Hivemind, building and executing test frameworks that ensure our autonomy software performs ...

institutions, you'll help shape backend architecture, champion engineering best practices, and contribute to the evolution of modern banking technology. You'll also embrace AI-enabled ways of working, using approved AI and automation tools where appropriate to improve engineering productivity, accelerate delivery, and enhance software quality while applying sound … engineering judgement and responsible AI practices. What You'll DoDesign and build cloud-native, microservices-based applications using Java (11+) and Spring Boot. Deliver enterprise-ready solutions on AWS, applying modern engineering practices and AI-enabled development approaches where appropriate to improve delivery efficiency and code quality. Build, maintain ...

development teams with vulnerability triage and remediation planning. Identify recurring weaknesses and opportunities for continuous improvement. Monitor emerging threats, vulnerabilities and industry trends. Secure AI Development Support the adoption of secure development practices for AI-enabled applications. Assist with controls relating to AI model security, data handling and misuse risks. … review experience. DevSecOps implementation and security automation. Experience integrating SAST, DAST, SCA and secrets scanning tools. Cloud-native, microservices and serverless architecture security. Secure AI and data-driven application security. OWASP SAMM, ASVS or other security maturity frameworks. Experience building or supporting a Security Centre of Excellence. Experience working within ...