1,351 to 1,375 of 2,331 LLM Jobs in London

## Senior data scientistApply: This position is a hybrid of office/remote working: United Kingdom - London: Full time: Posted Today: End Date: October 13, 2026 (13 days left to apply): RQ115892**Entity:**Technology**Job ...

Entity: TechnologyJob Family Group: IT&S GroupJob Description: Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas ...

Entity: TechnologyJob Family Group: IT&S GroupJob Description: Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas ...

Our client is a global professional services and technology consultancy. Location: London Salary: Competitive salary and package dependent on experience Career Level: Specialist or Associate Manager (based on experience) Our client is a leading global ...

We are seeking a highly motivated and detail-oriented Data Engineer to join our dynamic Data and Analytics team. Reporting to the Head of Data and Analytics, you will play a pivotal role in transforming ...

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As ...

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 ...

Python Software Engineer/Developer (Agentic AI) London/WFH to £65k Want to work on intellectually and technically challenging AI systems at the cutting edge of what is possible, whilst learning and collaborating with ...

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

infrastructure — from design through production Responding to production incidents and shipping fixes Building and improving core platform capabilities: AI agents, orchestration workflows, microapp infrastructure, LLM integrations Developing SDKs and tooling for engineers who build on top of Mesh Championing quality and reliability — tests, coverage, habits that prevent regressions Collaborating across … your contributions are visible and your opinions carry weight We use AI tools heavily in our own workflow — Claude Code, AI-assisted code review, LLM-powered automation Distributed systems, LLM reliability, workflow orchestration, real-time integrations — the problems are hard and varied We move fast and we're getting smarter ...

building, agent workflows and orchestration, agent hosting and sandboxing, guardrails, evals, RAG and context engineering, and tokenomics (cost, latency, model selection). Production-grade LLM system experience is the core requirement. You will work on three types of project: Departmental engagements. Embed with departments to AI-enable tasks and processes … more sophisticated way than "just ask Claude" - for example, Python pipelines where one step is an LLM API call - delivering real incremental value with each engagement and transforming working patterns into load-bearing, AI-enabled business processes. Customer-facing AI deployment. Deploy and integrate AI components built ...

building, agent workflows and orchestration, agent hosting and sandboxing, guardrails, evals, RAG and context engineering, and tokenomics (cost, latency, model selection). Production-grade LLM system experience is the core requirement. You will work on three types of project: Departmental engagements. Embed with departments to AI-enable tasks and processes … more sophisticated way than “just ask Claude” – for example, Python pipelines where one step is an LLM API call – delivering real incremental value with each engagement and transforming working patterns into load-bearing, AI-enabled business processes. Customer-facing AI deployment. Deploy and integrate AI components built ...

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 ...

Engineering, Mathematics, Operations Research, Optimization, or Data Science; alternatively, an MS with significant industry or research experience in the field Strong background in NLP, LLM, and graph analytics, with hands‐on experience and solid understanding of machine learning and deep learning methods Hands‐on experience building agentic AI or multi … design experiments and training frameworks, and define and evaluate intrinsic and extrinsic model-performance metrics aligned with business goals, focusing on agentic systems and LLM evaluation Experience with big data and scalable model training Strong written and spoken communication skills for communicating technical concepts and results to technical and business ...