1,651 to 1,675 of 2,907 LLM Jobs in England

DescriptionStarling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend ...

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every ...

An AI Engineer is required for a 12-month contract in London, working hybrid with 3 days onsite. The role focuses on building practical enterprise AI solutions using LLMs, Generative AI and AI-assisted development ...

Gravitee is a 2025 Gartner® Magic QuadrantTM Leader , on a mission to govern the world’s intelligence . We deliver the industry’s most advanced platform for Any API, Any Event, and Any AI Agent ...

Senior AI Engineer/AI Architect - Contract Healthcare & Life Sciences Competitive Day Rate We're looking for an experienced AI specialist to design and deliver production-ready AI solutions within Healthcare and Life Sciences. This ...

We are on a mission to become the leading international force in residential property management. What we do matters to billions of people in their everyday lives. Residential real estate is the world’s largest ...

## Data Scientist, GenAIApplylocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: JR2603112**Join us as Senior Data Scientist, GenAI**AIG is on a journey to revolutionize how insurance risk is accessed, and solutions ...

Who we are AppyWay is the industry-leading SaaS solution decarbonising cities by empowering local authorities to digitally manage their kerbside and share kerbside data with fleets and drivers. Our journey began with AppyParking, an ...

Senior Data Scientist, Graph Risk Analytics Department: Engineering Employment Type: Full Time Location: London Compensation: £105,000 - £120,000/year Description Location: London, UK Annual Remuneration : £105,000 - £120,000 and discretionary annual bonus ...

Join us as Senior Data Scientist, GenAIAIG is on a journey to revolutionize how insurance risk is accessed, and solutions are delivered to millions of customers globally through the use of cutting-edge technologies like ...

Who We AreVML is a global creative company that combines brand experience, customer experience, and commerce to create connected brands that drive growth. Guided by a Human First philosophy, VML is known for its innovative ...

quality assurance. Strong stakeholder communication skills, able to advise Engineering, Product and Pre-Sales credibly. Extremely strong documentation skills. Experience with AI/LLM security testing (OWASP LLM Top 10, prompt injection, model/vendor risk assessment). Familiarity with the Microsoft 365 E5 security stack (Entra ID, Defender … remit grows (Phase 3 of the deployment plan). AI & Emerging Risk Provide technical engineering support to the AI Security & Governance function for LLM/model security testing (OWASP LLM Top 10 etc.), including scripted test harnesses and repeatable validation tooling, where execution capacity is needed. Support technical validation ...

through to reliable production systems . The Role You’ll work closely with the Head of Research and Product teams , building and improving production LLM systems that deliver accurate, valuable outcomes for real users. You’ll be responsible for: Building and improving production LLM-driven systems , including RAG and agentic … someone coming purely from an academic or research background. You’ll ideally have: 4+ years' experience building production software. 2+ years' experience building production LLM applications. Strong hands‐on experience with Python . Experience building RAG systems , LLM applications and/or AI agents. A strong understanding of how LLM ...

Technical Leadership: Provide hands-on leadership in system design, development, and deployment, particularly with cloud-based systems, microservices, and AI integrations; oversee LLM (Large Language Model) integration, leveraging models like GPT, and implement advanced AI architectures such as Retrieval-Augmented Generation (RAG) and Reinforcement Learning with Human Feedback (RLHF); lead … Deep knowledge of cloud technologies (AWS, Azure) and experience deploying cloud-native applications and microservices architectures. AI Integration: Strong background in AI integration, specifically LLM technologies, RAG, and RLHF architectures, and the ability to apply these in client-facing solutions. System Design: Solid understanding of system design principles, including scalability ...

documentation to ensure adoption of the semantic framework across the organisation. Integration with AI Agents: Work with AI agents and large language model (LLM) teams to leverage the ontology and knowledge graph for intelligent applications. For instance, you might enable an AI chatbot to use the knowledge graph for more … vocabularies such as Dublin Core, schema.org, or other industry-specific ontologies/taxonomies. Experience applying these standards to annotate or integrate dataAI and LLM Integration: Experience working on projects that involve AI agents or large language models, where ontologies or knowledge graphs were used to improve AI performance. Enterprise System ...

Support product discovery, MVP definition, and scaling of successful AI products. Translate business use cases into requirements suitable for AI and Large Language Model (LLM) based solutions. Evaluate business value and adoption opportunities for AI-enabled products. Prior experience with the common technologies found within enterprise energy commodities trading ...

Visio, with the ability to develop compelling executive presentations. Preferred Qualifications, Capabilities, and Skills Hands-on experience with AI and large language model (LLM) tools, ideally on low-code or approved development platforms, with an instinct for identifying design risks early. Experience with automation platforms such as Python, UiPath, Pega ...

Visio, with the ability to develop compelling executive presentations. Preferred Qualifications, Capabilities, and Skills Hands-on experience with AI and large language model (LLM) tools, ideally on low-code or approved development platforms, with an instinct for identifying design risks early. Experience with automation platforms such as Python, UiPath, Pega ...

Architect and SME for GenAI-driven insurance use cases Define end to end AI architecture for unstructured document ingestion, reasoning, and output generation Design LLM-centric and hybrid AI architectures combining: OCR RAG systems Agentic workflows Design and govern prompt strategies and prompt frameworks for: Loss run and insurance document … chunking, embedding, retrieval, and grounding strategies Ensure traceability and explainability of generated outputs Drive architectural decisions related to: Scalability and performance Cost optimization of LLM usage Security, data privacy, and access control Auditability and regulatory compliance Define reference architectures and reusable components for multiple insurance use cases Evaluation, Quality & Optimization ...

will own a production system end to end the web application, the database estate, the data pipelines, the deployments, the integrations and the LLM serving stack. Whats involved? Genuine full-stack breadth in one codebase: a React/TypeScript application, a Postgres estate with 100-million-row telemetry tables, serverless … functions, MQTT ingestion from building management systems. LLM model training in the specialist fields our clients value most. It could be a housing estates network or a shopping centre, each LLM is tailored to their exact use case. Neural LLM-assisted engineering at the sharp end: coding agents ...

these areas: Production Python Engineering: Strong Python skills, writing clean, testable, production‐quality code using AI coding tools fluently (Claude Code, Cursor, Codex). LLM & Agent Systems: Proven experience building LLM‐powered applications and agent pipelines in production environments. Context Engineering: Deep understanding of context pipelines, including chunking, embedding selection ...

join a specialist Public Sector Technology team. This hands-on role focuses on building evaluation frameworks, tooling and harnesses for AI systems, particularly LLM and agentic AI solutions. The role requires ownership, experimentation and rapid delivery. Key Responsibilities Design evaluation frameworks and tooling Develop evaluation harnesses Evaluate model and agentic … agentic AI Experience with AI evaluation frameworks Ability to code independently Strong problem-solving and communication skills Comfortable working autonomously. Technical Experience AI/LLM Evaluation, RAG Evaluation, Ragas, Agentic AI Evaluation, Evaluation Harnesses, LLM Testing and Benchmarking, Prompt Engineering, Python Development, Model and Agent Integration. Ideal Background AI Evaluation ...

Help shape how intelligent systems are built and delivered at JPMorganChase. In this role, you’ll contribute to the LLM Suite platform by building AI/ML and agentic capabilities that are secure, reliable, and ready for production. You’ll collaborate closely with senior engineers, learn through real design discussions … enjoy solving tough problems and iterating quickly with feedback, you’ll fit right in. As a Software Engineer, Senior Associate, in the LLM Suite Engineering team, you will design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform. You will write secure, high-quality ...

diagrams, and rationale aligned with business and compliance requirements. Apply risk‐based and threat‐based approaches to recommend secure and proportionate solutions. Agentic AI & LLM Security Architecture You will be responsible for shaping security controls around emerging AI ecosystems, including: Designing security architectures for agent‐based AI systems , including orchestration … frameworks, tool‐use agents, and multi‐agent workflows. Implementing AI/LLM security controls across: Model security (input/output filtering, model guardrails) Prompt security, adversarial prompt defense, prompt isolation API & orchestration security, including secure agent tool use Data security for vector stores, embeddings, and retrieval services Performing AI‐specific ...

willing to roll up their sleeves and participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + … help direct reports grow and contribute to the wider group. Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data ...