151 to 175 of 7,690 AI Jobs in the UK excluding London

About the role:** This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will work with high levels of autonomy and be responsible … design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects.**Skills and Experience****Requirements*** *BSc in Machine Learning, Data Science, Computer ...

health outcomes through trusted content, data, and analytics. As the landscape of science and healthcare evolves, we are pioneering intelligent discovery experiences — from Scopus AI and LeapSpace to ClinicalKey AI, PharmaPendium, and next-generation life sciences platforms. These products leverage retrieval-augmented generation (RAG), semantic search, and generative AI … make knowledge more discoverable, connected, and actionable across disciplines. The Search & AI Evaluation team sits within the Platform Data Science organization and is responsible for advancing enterprise-scale search, retrieval, and evaluation capabilities across Elsevier’s global products. About the role We are looking for a Senior Data Scientist ...

About the role This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will work with high levels of autonomy and be responsible … design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer ...

Overview We’re AioiR&D Lab – an AItech 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‐led and society‐defining future. We’re looking for dynamic, driven professionals like … help us drive the change that underpins our mission. As a Machine Learning Scientist, you will support the development of a privacy‐preserving generative AI ecosystem designed to protect personal and sensitive corporate data by design, including data residency, anonymisation and secure deployment protocols and principles, as well as model ...

Lead Forward Deployed Engineer AI/Product/Consulting Location: Hybrid Job Type: Full-time Level: Lead/Principal Individual Contributor The Opportunity We're working with an innovative, global digital health technology business that partners with major organisations across the pharmaceutical, biotech and healthcare sectors. They are looking … product decisions, build the solution and own the outcome . The role would suit an experienced engineer who is operating at the forefront of AI development and is equally comfortable writing production code, challenging a product strategy, presenting to senior stakeholders and working directly with clients. How You'll Work ...

scale platforms, including data modeling, meta-modeling, master and reference data management, data quality, metadata management, data taxonomy, data integration, and data migration. Apply AI tools and techniques to improve Solution Architecture practices - including accelerating requirements analysis, pattern identification, data modeling, and architecture documentation. Ensure full conformance with firm-wide … benefits and importance of Solution Architecture across business and technology communities through strong communication, presentations, workshops, and agile development forums. Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive ...

contributing to informed decision-making for secure, stable application development. Champion agile methodologies, application resiliency, and security throughout the development process. Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test … contributes learnings and reusable patterns to improve broader team effectiveness. 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. Foster a culture of diversity, inclusion, and respect within the team, actively participating ...

achieving our ambition to be a net zero company by 2050 or sooner. Role Purpose Lead the technical design, development and deployment of enterprise AI-enabled solutions aligned to People & Culture priorities Own service integrity, operational excellence, and governance across AI and digital people platforms Handle and partner with external … centres to deliver scalable, compliant solutions globally Act as a link between engineering, product, data science ensuring solutions move beyond prototypes into sustainable production AI & Engineering Leadership Design, develop and maintain production-grade AI applications and services using modern engineering practices (cloud-native design, CI/CD, testing, observability). ...

Exchange (HIE) principles. Experience of REST APIs, web services and systems integration. Experience with source control, DevOps practices and CI/CD pipelinesFamiliarity with AI technologies, including Generative AI, Large Language Models (LLMs), and their practical application within software development and healthcare technology. Experience integrating AI-powered services or APIs … into software solutions. Knowledge of AI governance, security, privacy, and responsible use, particularly within regulated environments such as healthcareKey AttributesDrive - The desire to succeed, willingness to go the extra mile, passion for results, healthy sense of competition. Decision making and judgement - Identifies critical factors to consider when makings decisions; prioritizes ...

Microsoft technologies. This is a hands-on development role focused on building, testing and supporting solutions while gaining experience in modern platform capabilities, including AI-enabled features where appropriate. What that means day to day Develop and maintain Dynamics 365 solutions, including customisations, plugins (C#), JavaScript, workflows and integrations. Configure … with developers, architects and business teams to deliver enhancements and improvements. Continuously develop technical skills and knowledge of Dynamics 365, Power Platform, Azure and AI related technologies. Identify opportunities to improve processes, automation and user experience through platform capabilities. Support the adoption of AI-enabled features within Dynamics ...

high-visibility, high-ownership engineering work with a direct line to business impact. You'll also play a key role in shaping how AI consumers interact with structured financial data, treating them as first-class stakeholders alongside finance teams. More specifically, you will: Design and build the Snowflake schema … grows Write dbt YAML documentation - table descriptions, column definitions, and grain statements - as a first-class production deliverable, recognizing that documentation quality directly determines AI answer accuracy Own row-level security and model freshness SLAs for real-time AI queries, treating AI consumers as first-class stakeholders alongside finance What ...

founding team. Who We Are Founded and headquartered in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI consulting — dedicated to transforming data into business impact across the entire value chain of organizations. We don't just advise; we build, implement, and deliver results … offices focused on accelerating digital transformation for some of the world's most recognizable brands. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of elite business consultants, data analysts, data scientists, data engineers, and digital experts are all laser-focused on delivering real value ...

review work of other engineers to promote best practices Create durable, reusable software frameworks and patterns leveraged across teams Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls Establish engineering standards for LLM-based applications, ensuring safety and reproducibility Drive adoption of advanced … Required qualifications, capabilities, and skills Practical experience delivering system design, application development, testing, and operational stability at enterprise scale Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/ ...

about turning complex data into powerful insights and innovative solutions? At esure, we’re looking for an Analytical Engineer to join our growing data & AI function and play a pivotal role in shaping the future of our data platform. You’ll be working alongside a talented team of Data & AI … Engineers, Data Scientists, Analysts, Developers and Architects to design and deliver cutting-edge machine learning and AI-driven solutions. From enabling advanced analytics to supporting product innovation across the business, your work will directly influence how we harness data to drive smarter decisions and better customer outcomes. This ...

platformsMentor and review work of other engineers to promote best practicesCreate durable, reusable software frameworks and patterns leveraged across teamsDesign and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controlsEstablish engineering standards for LLM-based applications, ensuring safety and reproducibilityDrive adoption of advanced technical methods … continuous improvementRequired qualifications, capabilities, and skillsPractical experience delivering system design, application development, testing, and operational stability at enterprise scaleExperience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environmentsProficiency in one or more programming languages, particularly Python and/or PySparkAdvanced knowledge ...

review work of other engineers to promote best practices Create durable, reusable software frameworks and patterns leveraged across teams Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls Establish engineering standards for LLM-based applications, ensuring safety and reproducibility Drive adoption of advanced … Required qualifications, capabilities, and skills Practical experience delivering system design, application development, testing, and operational stability at enterprise scale Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/ ...

review work of other engineers to promote best practices Create durable, reusable software frameworks and patterns leveraged across teams Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls Establish engineering standards for LLM-based applications, ensuring safety and reproducibility Drive adoption of advanced … Required qualifications, capabilities, and skills Practical experience delivering system design, application development, testing, and operational stability at enterprise scale Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/ ...

review work of other engineers to promote best practices Create durable, reusable software frameworks and patterns leveraged across teams Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls Establish engineering standards for LLM-based applications, ensuring safety and reproducibility Drive adoption of advanced … Required qualifications, capabilities, and skills Practical experience delivering system design, application development, testing, and operational stability at enterprise scale Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/ ...

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 … Istio or Linkerd) expected. Run chaos and failover exercises (Chaos Monkey, LitmusChaos, or equivalent). Validate that what we think is resilient actually is. AI‐driven operations Architect Omnicell's AIOps direction: evaluate and introduce ML‐based anomaly detection, predictive alerting, automated root cause analysis, and LLM‐assisted runbook ...

models at scale using Docker, Kubernetes, or serverless Deep understanding of ML fundamentals: optimisation, regularisation, evaluation metrics Experience with cloud ML services (SageMaker, Vertex AI, or Azure ML) Strong software engineering practices: version control, testing, CI/CD MSc or PhD in Computer Science, Machine Learning, or related field Nice … leave plus bank holidays. Stock option scheme and pension matching. Latest hardware (M-series MacBook Pro, GPU workstation access). About the Team Our AI Research team is a tight‐knit group of 8 researchers and engineers passionate about pushing the boundaries of applied AI. We publish at top venues ...

Strategy and Analytics (DSA) partners with audit teams to translate data needs into durable, reusable capabilities. The team designs data products, engineering patterns and AI-ready data foundations that improve the efficiency, consistency and insight of audit work. YOUR IMPACT As an Associate in DSA, you will design and implement … schema design, performance and data movement. Implement data-quality checks, controls, lineage, observability, documentation and automated tests to improve trust and supportability. Contribute to AI-ready data products and semantic layers that provide consistent business meaning and governed access to data. Partner with audit teams and data owners to understand ...

working with our GIT partners to design & develop end to end (data to user) analytic solutions that are both scalable & futureproofed to support ongoing AI transformation. You will be responsible for designing & execution through to enablement which means they will need strong & flexible communication skills – flexing between business language & technical … data analytics technology landscapes and big data solutions. A bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field. AI/ML Familiarity: Understanding of how to integrate AI/ML models into data architectures. Platform‐specific data certifications (e.g., GCP, Snowflake). Our Commitment ...

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 ...

Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive … promoting technical excellence. Regulatory Onboarding: Drive the technical execution of onboarding new regulatory requirements, ensuring the platform is adaptable to evolving global compliance standards. AI & Automation Integration:Apply knowledge of AI/ML concepts to explore and implement intelligent automation, anomaly detection, or data classification solutions within the regulatory reporting ...

technical stakeholdersExperience mentoring and supporting junior developersDesirable Skills and ExperienceExperience with Dynamics 365 Finance and OperationsExperience with Power BI and reporting solutionsExperience leveraging AI tools such as Microsoft Copilot, generative AI, or intelligent agents to enhance productivity, automation, and user experienceExperience in legal or professional services environmentsTLT is committed ...