201 to 225 of 3,011 LLM Jobs in England

Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge ...

Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge ...

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 ...

QUALIFICATIONSDegree in computer science or related field, or equivalent practical experience2-5+ years of relevant experienceExperience building production-grade applications in at least one part of the stack (backend, frontend, infra), with willingness to learn ...

help shape how enterprise AI is adopted across a global organisation. You'll be responsible for designing, deploying and optimising machine learning models, LLM‐powered applications and agentic AI workflows within Microsoft Azure. Working alongside platform engineers, data scientists and data engineers, you'll help move AI from experimentation into … life assurance and a flexible benefits package If you’re already working in AI and want to spend more time building modern, production‐ready LLM and agentic AI solutions using one of the strongest Azure AI stacks available, this role offers the chance to make a genuine impact while continuing ...

Data Science ManagerLocation: London (Hybrid) | Practice Area: Data & Analytics | Type: PermanentShape intelligent solutions. Lead with insight. Drive data innovation. The RoleWe're looking for a Data Science Manager to lead innovative projects that apply data ...

Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We’re looking for a Data Science Manager to lead innovative projects that apply data ...

deployment Drive technical decisions and trade-offs, communicating rationale clearly to both engineering peers and non-technical stakeholders Leverage generative AI tools (coding assistants, LLM APIs, AI-augmented workflows) to accelerate development, improve code quality, and build AI-powered features into products Architect and implement cloud-native systems using containerized … MongoDB, Cosmos) including data modeling, query optimization, and understanding trade-offs between storage technologies Hands-on experience with generative AI tools and APIs (e.g., LLM-assisted coding, prompt engineering, integrating AI services into applications) Solid experience with cloud platforms in production (AWS, Azure, or GCP), including containerization (Docker, Kubernetes ...

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 ...

## AI DeveloperApply: Kings Cross, London: Full time: Posted 2 Days Ago: UMG-26841Music is Universal It’s the passionate and dedicated team at Universal Music who help make us the world’s leading music ...

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 ...

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 componentsAdditional Preferred Qualifications: Experience with enterprise observability ...

Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK. WHAT YOU'LL LOVE ABOUT WORKING ...

At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide ...

Backend Software Engineer/Developer (Python LLM MLOps) London/WFH to £90k Are you an experienced Backend Software Engineer with strong Python skills and a good knowledge of AI, LLMs and agentic coding? You could be progressing your career at a global finance technology consultancy, working with clients including … frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques Apply now to find out more about this Backend Software Engineer/Developer (Python LLM MLOps RAG MCP) opportunity. ...

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 ...

cloud-native architectures. Deliver scalable, secure, and reliable solutions using Python , SQL , Git , and CI/CD practices. Test, evaluate, and continuously improve LLM and AI Agent performance, reliability, and safety. Collaborate with business, data, and engineering teams to drive AI adoption and innovation. Required Skills AI , Generative AI (GenAI … LangChain , LangGraph , Model Context Protocol (MCP) RAG , Embeddings , Vector Databases Python , SQL , REST APIs Git , CI/CD Cloud Platforms (Azure, AWS, or GCP) LLM & AI Agent Testing and Evaluation Desirable Skills Knowledge Graphs Semantic Search Responsible AI Token Optimisation & Cost Management AI Evaluations (Evals) Re-ranking Techniques Caching Strategies ...

focus on deploying and optimising speech and language models across cloud and edge environments. The successful candidate will work on production-grade ASR, TTS, LLM and Small Language Model pipelines , taking AI capabilities from development through to highly available, low-latency production environments. The Role As a Machine Learning Engineer … supporting real-time conversational applications. Key responsibilities will include: Designing and deploying production-grade, low-latency Automatic Speech Recognition (ASR), Text-to-Speech (TTS), LLM and Small Language Model (SLM) pipelines. Building high-performance asynchronous REST and WebSocket APIs using FastAPI to support real-time conversational AI applications. Deploying machine ...

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 ...

team can maintain after your engagement ends. What We're Looking For Significant professional software engineering experience (typically 6+ years), including several years building LLM-based or agentic systems, with a demonstrable track record as a senior or lead engineer. Strong software engineering fundamentals: you write clean, tested, production-grade … systems in production, owning them as an engineer rather than integrating them as a user. Strong Python, with hands‐on experience building on LLM frameworks (LangGraph, LangChain, Haystack, or similar) and the ability to work below the framework when you need to. Experience designing and deploying AI/ML systems ...

team can maintain after your engagement ends. What We're Looking For Significant professional software engineering experience (typically 6+ years), including several years building LLM-based or agentic systems, with a demonstrable track record as a senior or lead engineer. Strong software engineering fundamentals: you write clean, tested, production-grade … systems in production, owning them as an engineer rather than integrating them as a user. Strong Python, with hands-on experience building on LLM frameworks (LangGraph, LangChain, Haystack, or similar) and the ability to work below the framework when you need to. Experience designing and deploying AI/ML systems ...

based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and confidentiality. Key ResponsibilitiesML & LLM Engineering, Search and Recommendation EnginesAutomate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such … implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization Stay current with the latest ...

strategic AI platform partnerships (e.g., Google, Anthropic), third‐party tooling, and outsourced delivery models Qualifications 15+ years of experience in Technology – Required: Generative AI & LLM Engineering: Deep, hands‐on expertise in large language models including model selection, fine‐tuning, prompt engineering, retrieval‐augmented generation (RAG), vector database design, and evaluation ...