51 to 75 of 2,799 LLM Jobs in England

with the ability to engage senior stakeholders and lead technical discussions. Desirable Experience Experience with PyTorch, TensorFlow or other machine learning frameworks. Knowledge of LLM fine-tuning, model distillation and optimisation techniques. Experience with vector databases, semantic search, knowledge graphs or related technologies. Familiarity with AI governance frameworks, security standards ...

part of a broader project team, remotely or face to face, and confident challenging established approaches. Desirable Experience: Experience running AI/LLM solutions in production at scale, including evaluation frameworks, guardrails and cost management. Experience designing or orchestrating multi‐agent workflows, and familiarity with agent protocols (e.g. ...

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 ...

quality Python (e.g., FastAPI, Pydantic, asyncio, pandas, pytest). Experience with R and R Shiny for building and deploying applications. Hands-on expertise with LLM APIs (e.g., OpenAI, Anthropic Claude) and agent frameworks (e.g., LangGraph, CrewAI). Advanced SQL skills and familiarity with Snowflake and REST API integrations. Knowledge ...

quality Python (e.g., FastAPI, Pydantic, asyncio, pandas, pytest). Experience with R and R Shiny for building and deploying applications. Hands-on expertise with LLM APIs (e.g., OpenAI, Anthropic Claude) and agent frameworks (e.g., LangGraph, CrewAI). Advanced SQL skills and familiarity with Snowflake and REST API integrations. Knowledge ...

role in building and scaling asynchronous task pipelines, implementing MCP (Model Context Protocol) servers and tools around complex APIs and internal systems, and integrating LLM-based orchestration frameworks. On the front end, you'll build rich, data-dense interfaces using React and AG Grid. You will also work directly with ...

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 ...

developer platforms, internal tooling, shared services, or infrastructure that supports multiple engineering teams. Hands‐on experience building AI‐powered applications and services using modern LLM frameworks and agentic architectures. Good understanding of modern AI concepts and practices, including: Large Language Models (LLMs) Retrieval‐Augmented Generation (RAG) Prompt Engineering AI Guardrails ...

automate the generation of static and video ad assets. Architect and manage Model Context Protocol (MCP) servers and configurations, establishing secure, standardized connections between LLM applications and our external tools, data sources, and asset repositories. Develop and maintain the technical plumbing and API integrations connecting performance data pipelines, media libraries ...

automate the generation of static and video ad assets. Architect and manage Model Context Protocol (MCP) servers and configurations, establishing secure, standardized connections between LLM applications and our external tools, data sources, and asset repositories. Develop and maintain the technical plumbing and API integrations connecting performance data pipelines, media libraries ...

experience. In addition to the above, we would LOVE if youhave Knowledgeofvector databases and retrieval strategies. Experience withrecommender systems and ranking models. Familiarity with LLM evaluation tools (e.g., RAGAS,TruLens,LangSmith,Arize). A working understanding of cloud networking and platform infrastructure. Experience in e-commerce or retail environments. Charlotte ...

Life Cycle Preferred qualifications, capabilities, and skills Experience with data, AWS and AIML engineering in commercial settings, preferably in financial sector Experience working on LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector ...

thought leadership. What we’re looking for Deep software/systems engineering (Python/TypeScript, distributed systems, CI/CD). Applied‐AI expertise: LLM/RAG engineering; evaluation; telemetry/drift monitoring; versioning and release management. Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless ...

Core Requirements Hands-on AI and agentic engineering. Experience building and shipping generative AI and agentic solutions into production, including retrieval-augmented generation, LLM-powered applications and agentic workflows. You have written the code yourself on at least some of these, and you understand how prompting, context management, retrieval, tool ...

Looking For Hands‐on AI and agentic engineering. Experience building and shipping generative AI and agentic solutions into production, including retrieval‐augmented generation, LLM‐powered applications and agentic workflows. You have written the code yourself on at least some of these, and you understand how prompting, context management, retrieval, tool ...

preferred. Practical experience using AI-assisted development tools, with an understanding of prompt engineering and the ability to integrate or consume AI/LLM capabilities within software applications. Knowledge of Docker and Kubernetes or similar containerisation technologies. Experience with CI/CD, DevOps practices and Git. Proficiency in modern ...

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 ...

agents using Python; experience with APIs, event-driven workflows, testing, source control, CI/CD and operational support Practical knowledge of agent architectures, LLM applications, RAG, tool calling, memory, orchestration, multi-agent patterns, MCP/A2A concepts and associated security risks Hands-on experience with security monitoring, detection engineering, incident ...

enterprise automation. What You'll Be Doing Designing and developing agentic AI systems capable of autonomous decision-making and task execution. Building sophisticated LLM-powered applications, orchestration frameworks, memory architectures, and tool-use capabilities. Developing custom AI workflows using large language models, retrieval systems, and multi-agent architectures. Collaborating closely ...

large, multi‐team deliveries - setting strategy, making sound architectural decisions and enabling teams to deliver at pace. Hands‐on experience with agentic AI: building LLM‐powered applications/agents, tool use, orchestration, retrieval (RAG), prompt and safety engineering, evaluation and telemetry. Proficient knowledge of cloud‐native engineering: containers (GKE/ ...

within the team, establishing the patterns other engineers follow and leaving clear documentation behind What We're Looking For Robust software engineering, including developing LLM-powered or agentic systems, and a track record operating at senior/lead level Strong engineering fundamentals: code that's clean, tested and built ...

within the team, establishing the patterns other engineers follow and leaving clear documentation behind What We're Looking For Robust software engineering, including developing LLM-powered or agentic systems, and a track record operating at senior/lead level Strong engineering fundamentals: code that's clean, tested and built ...

cross-functional teams to translate business requirements into technical AI solutions. Desirable Skills: Experience with LangChain, Semantic Kernel, Llama and related frameworks for building LLM-based applications. Familiarity with Model Context Protocol (MCP) and emerging standards for AI orchestration and context management. Experience designing and implementing RAG architectures in enterprise ...

cross-functional teams to translate business requirements into technical AI solutions. Desirable Skills: Experience with LangChain, Semantic Kernel, Llama and related frameworks for building LLM-based applications. Familiarity with Model Context Protocol (MCP) and emerging standards for AI orchestration and context management. Experience designing and implementing RAG architectures in enterprise ...