1,376 to 1,400 of 2,909 LLM Jobs in England

At ASOS, we’re reimagining the future of fashion content and digital experiences. As we accelerate our global growth, Studios sits at the heart of this transformation delivering the high-quality imagery and video that ...

work across AI, data and engineering teams to build intelligent retrieval, knowledge discovery and automation capabilities. Key Responsibilities Build production-grade GenAI, LLM, RAG and Agentic AI solutions Develop AI Agents and Multi-Agent Systems Work with LangChain, LangGraph and MCP Build intelligent retrieval using Embeddings, Vector Databases and Semantic … Search Apply Prompt & Context Engineering Integrate AI solutions through REST APIs and cloud platforms Test, evaluate and optimise LLM and AI Agent performance Take AI solutions from prototype through to production Key Requirements Strong commercial experience as an AI/GenAI Engineer Strong Python and SQL Hands-on experience with ...

## Principal Data Scientist & Machine Learning ResearcherApplylocations: Gloucester, South Gloucestershire: Manchester, Lancashire: London, Londontime type: Full timeposted on: Posted 30+ Days Agojob requisition id: 01804570**Date Posted:**2026-02-23**Country:**United Kingdom**Location:**Gloucester ...

## Principal Data Scientist & Machine Learning ResearcherApplylocations: Gloucester, South Gloucestershire: Manchester, Lancashire: London, Londontime type: Full timeposted on: Posted 30+ Days Agojob requisition id: 01804570**Date Posted:**2026-02-23**Country:**United Kingdom**Location:**Gloucester ...

## Principal Data Scientist & Machine Learning ResearcherApplylocations: Gloucester, South Gloucestershire: Manchester, Lancashire: London, Londontime type: Full timeposted on: Posted 30+ Days Agojob requisition id: 01804570**Date Posted:**2026-02-23**Country:**United Kingdom**Location:**Gloucester ...

hackajob is partnering directly with Raytheon UK to hire for this role. Date Posted: 2026-05-28 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Hybrid Raytheon UK has a perm opportunity for ...

vector and hybrid search capabilities using technologies such as Amazon OpenSearch. Develop document processing and extraction pipelines using OCR and AWS AI service. Develop LLM evaluation and testing frameworks, measuring accuracy, retrieval performance, precision, recall and confidence. Collaborate with technical and business teams to deliver secure, scalable and production-ready … ideally Amazon OpenSearch Service. Experience designing AI agents and workflows using tools, guardrails, human-in-the-loop processes, and robust error handling. Experience with LLM evaluation and testing, including accuracy, precision, recall, confidence, and ground-truth assessment. Experience working within regulated or security-conscious environments, particularly financial services, would ...

Platform initiative, helping define how agents are built, integrated and operated across the organisation Designing and maintaining standardised templates and reference implementations for LLM and Generative AI workflows, enabling teams to adopt consistent patterns for prompt design, tool calling, multi‐step agent flows, retries and failure handling Implementing secure, governed … systems in real‐world environments Strong understanding of the end‐to‐end AI lifecycle, from experimentation through deployment and operation Practical understanding of production LLM or GenAI runtime concerns, such as model access, routing, caching, token usage, cost optimisation and reliability. High proficiency in Python, with experience building APIs ...

Full job description Job Title: Forward Deployed Engineer's Company: 167 Solutions Location: Bristol, London, Manchester Salary: £60,000 - £120,000 per annum (DOE) Contract Type: Permanent Experience Level: Minimum 3 years' commercial experience Start ...

Senior Product Engineer (AI & Full Stack) Location: Central London (Hybrid - 2-3 days per week) Salary: £65,000 - £75,000 + Bonus + Excellent Benefits Job Type: Permanent Please note: Applicants must have the full ...

surfaced early Translate program/product roadmap into solution designs and detailed architecture specs for Commercial Digital Solutions Define architecture patterns for GenAI/LLM-based solutions (RAG, agentic workflows, model orchestration), evaluate build-vs-buy for AI capabilities Architect integration patterns between Commercial systems and the enterprise data platform … looking for? Hands-on experience architecting multi-step agentic AI workflows, including agent-to-agent orchestration, context and memory management, and integration of LLM-based reasoning with enterprise data sources and APIs Experience evaluating vendor and open-source agentic AI platforms against enterprise requirements — including assessing agent reliability, hallucination risk ...

platform and turn successful approaches into reusable tools and accelerators. What you'll be working on: Building AI solutions using RAG, AI agents, LLM integrations and MCP Taking solutions from prototype through to production, including security, scalability, guardrails and observability Building AI evaluation and testing frameworks to measure accuracy … TypeScript or similar, with experience across multiple modern languages Full-stack capability, including back-end and data engineering Proven experience building and shipping production LLM/AI applications Hands-on experience with RAG, AI agents, prompt engineering, tool orchestration and MCP Experience with AI evaluation, testing, datasets and guardrails Client ...

Fundamental coding experience in at least two of the following: Python, JavaScript, Node.js, C#, Java Experience engineering products or systems with AI layers, including LLM integration, agents, APIs, and data pipelines, either adding this to an existing product or building it into a new one Experience designing RAG architectures, including … would be great if you have any of these: Good understanding of and experience with agile methodologies Experience shipping production agentic or LLM based systems, including tool and function calling, state and memory management, control flow (branching, loops, retries), and human in the loop checkpoints, using a framework such ...

expertise across Python, C#, TypeScript/React, advanced SQL, and complex data modelling, working with both structured and unstructured data. Proven applied AI/LLM experience, shipping production solutions using RAG, embeddings/vector search, agentic workflows, evaluation frameworks, and guardrails. Hands-on cloud and infrastructure expertise across Azure … financial data providers (Bloomberg, LSEG/Refinitiv, FactSet, S&P Capital IQ, PitchBook, Preqin, MSCI), parsing financial documents at scale, and/or optimising LLM performance, cost, and latency. Exposure to enterprise data architectures (Kafka/Event Hubs, lakehouse, Snowflake, Oracle) and experience distributed international teams. Location & Work Model London ...

semi-autonomous systems). Establish quality, evaluation, and governance frameworks for non-deterministic and AI-driven systems, including test and evaluation strategies for LLM-based and agentic features. Set enterprise standards for validating AI-generated code, ensuring it meets Fourth’s quality, security, and maintainability requirements. Partner with Engineering, Product … organisation, mentoring and uplifting QA capability globally. Key Skills and Competencies Strong understanding of the testing and quality challenges of non-deterministic, ML/LLM-based, and agentic systems, including evaluation, guardrails, and the regression of model-driven behaviour. Proven experience defining and implementing QA strategy at an organisational ...

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support ...

delivery plans. Design and deliver solutions Build AI and automation solutions using tools such as n8n, Tray.io, Workato, Zapier, Claude Code, and direct LLM APIs. Integrate with systems including Slack, Google Workspace, NetSuite, Salesforce, HubSpot, and the other tools used across the business. Develop robust workflows and integrations with appropriate … use. Hands-on fluency in low-code automation and integration platforms such as n8n, Tray.io, Workato, or Zapier, and in agentic patterns using LLM APIs from Anthropic, OpenAI, or similar. Confident hands-on coding in Python and TypeScript, comfortable building REST and webhook integrations, testing APIs (for example with Postman ...

that improve delivery efficiency Developing reusable AI capabilities and accelerators Supporting analysis, reporting and knowledge management initiatives Technical Responsibilities Python development AI agent orchestration LLM applications and RAG solutions API integrations Data pipelines Cloud-based development Application development Workflow automation What We're Looking For Essential 2-4 years' software … engineering experience Strong Python development skills Experience working with GenAI/LLM technologies Experience developing software applications rather than purely analysing data Understanding of AI workflows, agent frameworks or automation tooling Experience delivering real-world software solutions Strong problem-solving ability Excellent communication skills Highly Desirable AI Agents/Agentic ...

About WRITER WRITER is where the world’s leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we’re proving it is possible – through powerful, trustworthy AI that ...

Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets Integrate and abstract across multiple LLM providers OpenAI, Anthropic, Vertex AI, and open-source models with fallback routing, token, cost, and latency management ImplementLLMOpsin production: eval harnesses with real quality metrics … production environment non-negotiable Demonstrated experience with agentic orchestration frameworks:LangGraph,CrewAI,AutoGen, or equivalent at production depth, not tutorial level Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management,latencyand cost tradeoffs RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context ...

Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets Integrate and abstract across multiple LLM providers OpenAI, Anthropic, Vertex AI, and open-source models with fallback routing, token, cost, and latency management ImplementLLMOpsin production: eval harnesses with real quality metrics … production environment non-negotiable Demonstrated experience with agentic orchestration frameworks:LangGraph,CrewAI,AutoGen, or equivalent at production depth, not tutorial level Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management,latencyand cost tradeoffs RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context ...

pipeline standards across engagements:establishchunking and embedding strategies, set quality benchmarks, and ensure metric-backed tradeoff decisions are documented and transferable Set multi-LLM integration standards: vendor-agnostic architecture by default, fallbackroutingand cost governance as standard design practice across providers including OpenAI, Anthropic, Vertex AI, and open-source models OwnLLMOpsatprogrammescale … production environment non-negotiable Demonstrated experience with agentic orchestration frameworks:LangGraph,CrewAI,AutoGen, or equivalent at production depth, not tutorial level Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management,latencyand cost tradeoffs RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context ...

pipeline standards across engagements:establishchunking and embedding strategies, set quality benchmarks, and ensure metric-backed tradeoff decisions are documented and transferable Set multi-LLM integration standards: vendor-agnostic architecture by default, fallbackroutingand cost governance as standard design practice across providers including OpenAI, Anthropic, Vertex AI, and open-source models OwnLLMOpsatprogrammescale … production environment non-negotiable Demonstrated experience with agentic orchestration frameworks:LangGraph,CrewAI,AutoGen, or equivalent at production depth, not tutorial level Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management,latencyand cost tradeoffs RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context ...

accelerators to improve delivery quality and speed. Take accountability for delivery quality, timelines, and outcomes within your workstream. Technical Direction Design generative AI solutions: LLM selection, RAG pipelines, prompt orchestration, agentic workflows, and integration. Build solutions for insurance use cases (claims intake automation, submission triage, document intelligence, underwriting copilots, policy … databases (Pinecone, Weaviate, pgvector, Azure AI Search). Experience with agentic architectures, function/tool calling, and structured outputs. Solid prompt engineering, evaluation, and LLM guardrail/safety experience. Experience with cloud GenAI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI) and LLMOps tooling. Good understanding of system design ...

unsanctioned AI usage without blocking it entirely. The team applies AI in how it builds as well - code assistants, AI-assisted test generation, and LLM-supported log and incident analysis - so you will be using these tools alongside defending against their misuse. Outcomes & KPIs Key Outcome(s) Owned: Reliable, performant … BTech, or Masters), or equivalent practical experience. Practical fluency with AI coding and debugging assistants, including sound judgement about when to rely on LLM output and when to verify it independently. Self-directed approach to problem solving, with the ability to pick up unfamiliar systems and technologies with limited guidance. ...