51 to 75 of 2,348 LLM Jobs in the UK

other relevant enterprise platforms. Understand the foundations required for safe and scalable AI delivery, including identity, permissions, environments, data lineage, observability, evaluation, auditability, LLM access patterns and responsible AI controls. Work closely with Data Solutions & Architecture colleagues to ensure AI use cases are built on the right data foundations. Understand ...

with Moody's platforms and third-party services via MCP and related protocols, and define the patterns other engineers build against Implement advanced large language model applications using retrieval-augmented generation, prompt orchestration, evaluation frameworks, model optimisation, agentic workflows, and tool integration Build and deliver compelling proofs of concept, live ...

Drive – the operating manual for how we behave. AI & Machine Learning Experience Deploying and operating machine learning models within enterprise environments. Experience with LLM-powered applications, agent frameworks and retrieval systems. Familiarity with prompt engineering, evaluation frameworks and AI safety controls. Experience with reinforcement learning, fine-tuning or model customisation ...

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 and translate that work ...

testing, automation, or developer productivity use cases. This may include experience with: AI application patterns Retrieval-Augmentation Generation (RAG)prompt engineeringtool callingagentic workflowsevaluation of LLM-based outputs Frameworks and orchestration LangChainLangGraphCrewAI Models and platforms OpenAI and/or Azure OpenAI Vector search and retrieval Weaviate or equivalent vector database technology ...

enterprise applications. Strong knowledge of Microsoft Azure, including Azure AI Foundry, Azure AI Services and cloud-native application development. Experience implementing AI solutions including LLM integration, prompt engineering, Retrieval-Augmented Generation (RAG) and vector databases. Experience working with SQL and NoSQL databases, with knowledge of platforms such as SQL Server ...

data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; and performance evaluations. Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices. Required qualifications MSc/PhD in Computer Science, Data Science, Machine Learning, or related field. Significant proven experience building ...

enterprise applications. Strong knowledge of Microsoft Azure, including Azure AI Foundry, Azure AI Services and cloud-native application development. Experience implementing AI solutions including LLM integration, prompt engineering, Retrieval-Augmented Generation (RAG) and vector databases. Experience working with SQL and NoSQL databases, with knowledge of platforms such as SQL Server ...

enterprise applications. Strong knowledge of Microsoft Azure, including Azure AI Foundry, Azure AI Services and cloud-native application development. Experience implementing AI solutions including LLM integration, prompt engineering, Retrieval-Augmented Generation (RAG) and vector databases. Experience working with SQL and NoSQL databases, with knowledge of platforms such as SQL Server ...

DevOps: Experience with Kubeflow, Docker, Kubernetes, and Linux environments.*** **CI/CD: Proficiency in building and managing continuous integration and deployment pipelines.*** **GenAI/LLM: Experience with LLMs, GenAI APIs, Model Garden, and GenAI Studio.**## ****Good to Have***** **Experience with AlloyDB and enterprise database solutions.*** **Familiarity with PaLM embeddings ...

DevOps: Experience with Kubeflow, Docker, Kubernetes, and Linux environments. CI/CD: Proficiency in building and managing continuous integration and deployment pipelines. GenAI/LLM: Experience with LLMs, GenAI APIs, Model Garden, and GenAI Studio. Good to Have Experience with AlloyDB and enterprise database solutions. Familiarity with PaLM embeddings ...

OpenAI Agents SDK, AWS Bedrock AgentCore, Microsoft Agent Framework/Semantic Kernel. Framework choice follows the engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol ...

OpenAI Agents SDK, AWS Bedrock AgentCore, Microsoft Agent Framework/Semantic Kernel. Framework choice follows the engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol ...

Azure, and/or GCP). Exposure to large language models (LLMs) such as ChatGPT and Google Bard (or similar). Exposure to LLM application patterns and tooling, including LangChain, retrieval-augmented generation (RAG), and fine-tuning. Experience communicating with and engaging senior leadership and other stakeholders. Preferred: experience building ...

degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience) Preferred qualifications, capabilities, and skills Experience operating ML/LLM workloads in production (MLOps, inference reliability, cost/performance management) Experience within financial services technology Familiarity with JPM-internal platform, cloud, and observability tooling for internal ...

environmentMaster's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience)Preferred qualifications, capabilities, and skillsExperience operating ML/LLM workloads in production (MLOps, inference reliability, cost/performance management)Experience within financial services technologyFamiliarity with JPM-internal platform, cloud, and observability tooling for internal ...

degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience) Preferred qualifications, capabilities, and skills Experience operating ML/LLM workloads in production (MLOps, inference reliability, cost/performance management) Experience within financial services technology Familiarity with JPM-internal platform, cloud, and observability tooling for internal ...

Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time‐series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval‐Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure components Additional Preferred Qualifications: Experience with enterprise observability ...

developments. Take on related responsibilities as the squad's needs evolve. Requirements: Engineering experience: 3+ years in software engineering, with hands-on experience building LLM-powered applications in production (RAG, tool-augmented agents, or agentic workflows). Education: BS in Engineering, Computer Science, or equivalent. Ways of working: Comfortable working ...

taking AI prototypes to production in enterprise environments. Education: BS in Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context‐window management and production guardrails; MCP, tool‐augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems ...

taking AI prototypes to production in enterprise environments. Education: BS in Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems ...

Job ID: FEQ227R117 Location: London, United Kingdom Industry: Professional Business Services (Consultancy, Legal, etc) At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer‐centric ...

bridge the gap between AI research and production engineering. Your primary focus will be optimizing and scaling core Speech (ASR, TTS) and Language Model (LLM, SLM) pipelines across hybrid cloud and local edge environments. Key Responsibilities Pipeline Deployment & Architecture Deploy AI Pipelines: Build production-grade, low-latency pipelines ...

Apply? Work on high-profile AI transformation programmes. Design and build enterprise-scale AI solutions. Exposure to the latest GenAI, Agentic AI and LLM technologies. Opportunity to influence architecture, engineering standards, and AI strategy. Flexible location options across the UK. If you're passionate about building production-grade AI solutions ...

Apply? Work on high-profile AI transformation programmes. Design and build enterprise-scale AI solutions. Exposure to the latest GenAI, Agentic AI and LLM technologies. Opportunity to influence architecture, engineering standards, and AI strategy. Flexible location options across the UK. If you're passionate about building production-grade AI solutions ...