826 to 850 of 18,005 AI Jobs in the UK

standards· Lead team code review standards establishment conduct complex feature reviews, and drive quality improvements across team deliverables· Drive continuous improvement and champion responsible AI adoption with team governance practicesRequired Experience & SkillsTechnical Skills· Frontend Development: Strong proficiency with ASP.NET MVC, including performance optimisation and component architecture OR working knowledge with … Core Web APIs, REST, application architectures, and distributed systems· Database Systems and Data Architecture: Strong knowledge of SQL, NoSQL, CosmoDB and data architecture decisions.· AI-Assisted Software Engineering: Experience with integrating AI tools (Cursor, Copilot, Devin, Claude Code, etc.) in engineering practices to accelerate design, development, testing and debugging. Using ...

digital products. You will have strong experience on React with Python and Large Language Models (LLMs) to support and enhance our client’s AI-driven initiatives. Beyond technical expertise, you will follow software engineering best practices, including codebase security, testing, and scalability of AI systems. This role requires someone … APIs to efficiently connect frontend applications with backend services. Work with business and technical stakeholders to turn requirements into technical solutions. Exposure to integrating AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Manage code using ...

digital products. You will have strong experience on React with Python and Large Language Models (LLMs) to support and enhance our client’s AI-driven initiatives. Beyond technical expertise, you will follow software engineering best practices, including codebase security, testing, and scalability of AI systems. This role requires someone … APIs to efficiently connect frontend applications with backend services. Work with business and technical stakeholders to turn requirements into technical solutions. Exposure to integrating AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Manage code using ...

digital products. You will have strong experience on React with Python and Large Language Models (LLMs) to support and enhance our client’s AI-driven initiatives. Beyond technical expertise, you will follow software engineering best practices, including codebase security, testing, and scalability of AI systems. This role requires someone … APIs to efficiently connect frontend applications with backend services. Work with business and technical stakeholders to turn requirements into technical solutions. Exposure to integrating AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Manage code using ...

digital products. You will have strong experience on React with Python and Large Language Models (LLMs) to support and enhance our client’s AI-driven initiatives. Beyond technical expertise, you will follow software engineering best practices, including codebase security, testing, and scalability of AI systems. This role requires someone … APIs to efficiently connect frontend applications with backend services. Work with business and technical stakeholders to turn requirements into technical solutions. Exposure to integrating AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Manage code using ...

digital products. You will have strong experience on React with Python and Large Language Models (LLMs) to support and enhance our client’s AI-driven initiatives. Beyond technical expertise, you will follow software engineering best practices, including codebase security, testing, and scalability of AI systems. This role requires someone … APIs to efficiently connect frontend applications with backend services. Work with business and technical stakeholders to turn requirements into technical solutions. Exposure to integrating AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Manage code using ...

targets! WHAT YOU WILL DO You will join Technology Architecture in Ramboll Tech. You will be working closely with the Enterprise architects, Product architects, AI & Digital products chapter. You will partner with Data product and platform owners and Innovation and Digital Transformation Directors—who drive digitalisation, innovation, and scaling … organisation. Support data platform teams: Work with data platform teams to design and implement operating models that support efficient data processing, integrations, reporting and AI model deployment and execution. Data modelling: Design and develop data models that support business processes, analytics and reporting requirements. Ensure that data models are optimised ...

collaborative team environment.Document models, methodologies, and processes for transparency and knowledge sharing.Required Qualifications, Capabilities and SkillsAdvanced degree (Masters or PhD) in Statistics, AI/ML, Computer Science, Operations Research, or related quantitative field.Significant experience in quantitative modelling, analytics, or related roles.Strong background in AI, machine learning, operations research, or revenue …/yield management.Proficiency in Python for data analysis, modelling, and software development.Deep understanding of statistics, AI, and optimization techniques.Demonstrated ability to solve complex quantitative problems and deliver business impact.Excellent communication and presentation skills, especially with senior stakeholders.Ability to work collaboratively in cross-functional teams.Strong organizational skills and attention to detail.Experience ...

actuarial team and coordinating with the Data Science and Data Analytics Manager to support the business with proactive analytics and insights. Using generative AI to enrich insight and unlock new opportunities, deployed and maintained through the same MLOps patterns applied to traditional models. Engineering and MLOps standards Designing, building … data does not support. Desirable Insurance experience (specifically in the Lloyd's market), pricing or underwriting in a regulated environment. Practical experience deploying generative AI or LLM based solutions. Altogether, this role suits a hands-on data scientist who can own the full lifecycle from problem framing to production ...

team environment. Document models, methodologies, and processes for transparency and knowledge sharing. Required Qualifications, Capabilities and Skills Advanced degree (Masters or PhD) in Statistics, AI/ML, Computer Science, Operations Research, or related quantitative field. Significant experience in quantitative modelling, analytics, or related roles. Strong background in AI, machine learning … operations research, or revenue/yield management. Proficiency in Python for data analysis, modelling, and software development. Deep understanding of statistics, AI, and optimization techniques. Demonstrated ability to solve complex quantitative problems and deliver business impact. Excellent communication and presentation skills, especially with senior stakeholders. Ability to work collaboratively ...

expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading the architecture … vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle Excellent communication ...

expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading the architecture … vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle Excellent communication ...

will define and execute a comprehensive account strategy that drives revenue growth, deepens customer adoption across the full AWS portfolio — including compute, networking, storage, AI/ML, Generative AI, and edge solutions — and positions AWS as the preferred cloud partner for next-generation telco workloads. This role requires deep understanding … ensuring short-term technology decisions align with long-term business goals.Solution-Led Selling: Drive solutions discussions diving deep into complex challenges — including modernization, migration, AI/ML, and infrastructure optimization for telco workloads. Recommend AWS products and services aligned with how the Telco delivers solutions to their end customers (Telco ...

planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI‐assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms … enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real‐time systems, large‐scale data) Exposure to integrating machine learning, generative AI, or LLM‐based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates ...

e.g., FCA, PRA, ECB); Experience with regulatory exams and responses is strongly desired.Experience in EEA regulations such as DORA, BCBS 239 and the EU AI Act.Experience in IT audits or risk assessments, Information Technology General Controls (ITGC) and cybersecurity controls. Familiarity with Information Security Frameworks (e.g., NIST … Cloud Control Matrix) and ITIL practicesExperience in AI adoption and AI risk managementAbility to articulate technical issues to non-IT stakeholders and business perspective to IT stakeholdersStrong communication, negotiation, and presentation skills, with cross-cultural competenciesEducation & Preferred QualificationsMinimum 10 years of experience in the financial and/or technology industries.Strong ...

Aioi R&D Lab - an AI tech hub in one of the fastest-growing insurance companies. We research and develop AI systems that catapult insurance from a slow-moving, traditional past into a data-driven, technology-lead and society-defining future. We’re looking for dynamic, driven professionals like … trade-offs clearly to non-specialists. Desirable Experience architecting and designing complex distributed software systems for cloud environments. Experience developing and deploying machine learning, AI or data-driven systems in production or near-production settings. Technical Lead and/or Line Manager experience. Why Join Us? We're committed ...

Experience with regulatory exams and responses is strongly desired. Experience in EEA regulations such as DORA, BCBS 239 and the EU AI Act. Experience in IT audits or risk assessments, Information Technology General Controls (ITGC) and cybersecurity controls. Familiarity with Information Security Frameworks (e.g., NIST, ISO 27000, CSA Cloud Control … Matrix) and ITIL practicesExperience in AI adoption and AI risk managementAbility to articulate technical issues to non-IT stakeholders and business perspective to IT stakeholdersStrong communication, negotiation, and presentation skills, with cross-cultural competenciesEducation & Preferred QualificationsMinimum 10 years of experience in the financial and/or technology industries. Strong project ...

alongside senior engineers and product leadership, you'll contribute to the evolution of our platform while developing your own technical expertise across cloud infrastructure, AI, geospatial data and developer tooling. You'll be responsible for: Designing and building scalable backend services and APIs using C# .NET. Developing platform capabilities that … services hosted within Microsoft Azure. Implementing Infrastructure as Code, CI/CD pipelines and engineering automation to improve reliability and developer productivity. Contributing to AI-powered workflows including document processing, data extraction and intelligent automation. Working with the Security Manager to implement technical controls supporting ISO 27001 and Cyber Essentials. ...

comfortable with that complexity and will help the organization design for it rather than around it.This role also anchors Omnicell's forward investment in AI-driven operations. Over the course of the first year, the organization intends to incorporate AIOps and ML-assisted observability — anomaly detection, intelligent alert correlation … detection, predictive alerting, automated root cause analysis, and LLM-assisted runbook or triage pipelines.Make informed build-versus-buy calls across the AIOps landscape. Integrate AI-assisted tooling into the observability and incident response stack where it adds measurable value; resist the hype where it does not.Ensure AI-assisted operations meet ...

planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, TypeScript, and Fortran Frameworks … Background in technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems Experience contributing to open-source projects, or integrating open-source components at scale. Energy industry experience ...

Familiarity with AKS, Docker, or containerized ML environmentsUnderstanding of data governance and security in cloud environmentsAI Foundry, Gen AI, Fabric experienceSoft Skills:Strong verbal and written communicationGood documentation and presentation skillsAbility to handle pressure and prioritize effectively in live support environmentsWork Hours & Availability:Core business hours … during critical deployments or outagesWhy Join Us Be part of a high-impact team managing enterprise-scale Azure solutionsWork on the intersection of data, AI, DevOps, and automationOpportunities to grow across data engineering, MLOps, and cloud automationA dynamic, learning-focused work environment with cutting-edge tools and processes ...

engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within … Core such as payments, people processes, and procurement Shared Services: responsible for driving the adoption of consistent engineering strategy, including data platforms, cloud, and AI enablement, as well as the management of technology risk FUNCTIONALITY DESCRIPTION Developing risk models and risk sensitivity analysis that use advanced mathematical/statistical/ ...

Able to write quality, testable code and has experience of automated testing Experience with Continuous Integration and Continuous Deployment techniques A Keen interest in AI Technologies DESIRABLE REQUIREMENTS : Experience of performance tuning Experience of data visualisation and complex data transformations Experience with steaming and event-processing architectures including technologies such … Kafka and change-data-capture (CDC) products Expertise in continuous improvement and sharing input on data best practice Practical experience with AI technologies, tools, processes and delivery Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that ...

studies, ensuring efficient development and validation of analysis packages.Select appropriate tools/languages and solve complex technical challenges.Identify and implement improvements, including use of AI/ML.Contribute to departmental initiatives and technical strategy.Quality & Compliance Ensure adherence to standards (e.g., GPP, CDISC) and regulatory requirements.Perform QC on critical outputs and technical … Science, or a related field.Expertise in R programming.6+ years of clinical programing experience5+ years of experience in the Pharmaceutical or Biotechnology industry.Experience using generative AI tools and coding assistants (e.g., GitHub Copilot, Codex, and Claude) to improve programming efficiency, automation, code quality, and analytical workflows in clinical programming.Preferred QualificationIf ...

efficient development and validation of analysis packages. Select appropriate tools/languages and solve complex technical challenges. Identify and implement improvements, including use of AI/ML.Contribute to departmental initiatives and technical strategy. Quality & Compliance Ensure adherence to standards (e.g., GPP, CDISC) and regulatory requirements. Perform QC on critical outputs … related field. Expertise in R programming.6+ years of clinical programing experience5+ years of experience in the Pharmaceutical or Biotechnology industry. Experience using generative AI tools and coding assistants (e.g., GitHub Copilot, Codex, and Claude) to improve programming efficiency, automation, code quality, and analytical workflows in clinical programming. Preferred QualificationIf ...