1,401 to 1,425 of 2,916 LLM Jobs in England

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. ...

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million ...

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 ...

This job is with Capgemini, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the job you are considering ...

AI Engineer - Tewkesbury Ontic, a leading licensor and manufacturer of complex engineering parts for the global aerospace and defence industries, are now recruiting for an AI Engineer to join our IT team, where you'll ...

Opportunity Brunswick is accelerating its use of AI to strengthen the advice we give clients and how we operate. We are looking for a Data Architect to join our AI Lab and shape the technical ...

solutions across the organisation. This is an opportunity to work on real-world Generative AI use cases, including copilots, chatbots, document intelligence tools and LLM-driven workflows, within a regulated insurance environment. The role will suit a pragmatic engineer who can move beyond proof of concept and deliver secure, scalable … required: Strong Python and backend engineering experience Hands-on experience with OpenAI and/or Anthropic Claude APIs Practical experience with prompt engineering and LLM application development Experience with RAG, embeddings and vector databases Google Cloud Platform experience, ideally including Vertex AI Familiarity with CI/CD, Docker and modern ...

Job Description Job role: Data & AI Science Consultant Location: London/Manchester/Edinburgh/Newcastle Career Level: Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy ...

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’s possible – through powerful, trustworthy AI that ...

scalable data solutions. Develop conceptual, logical, and physical data models. Design and implement modern AI-ready architectures, including RAG, vector databases, semantic search, and LLM integrations. Build and optimise data pipelines supporting both batch and real-time processing. Lead data integration, transformation, and migration initiatives. Establish and maintain data governance … data modelling experience across enterprise-scale environments. Experience building modern AI-enabled data architectures. Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and LLM integrations. Experience with both batch and streaming/real-time data processing. Strong understanding of data governance, quality management, lineage, and metadata frameworks. Excellent stakeholder ...

At Forge Holiday Group, we don’t just do holidays, we create memories. With market-leading brands like Sykes Holiday Cottages, Forest Holidays, and Bachcare in New Zealand, we’re 1,700+ strong and powered ...

AI Engineer (.Net/AI) Location: Chester | Hybrid Working Permanent – Full-time Salary: £50,000–£60,000 We're working with a leading UK organisation that is continuing to invest in its internal AI capability ...

At Movar, we understand that project delivery is getting increasingly complex. Since 2013, we’ve been helping companies of all sizes improve the way projects are delivered. Our mission is to be the number one ...