301 to 325 of 842 LLM Jobs in England

pragmatic, high-impact solutions. You test, learn and iterate fast, and are comfortable executing under high ambiguityFull-Stack Delivery: You work across the stack: LLM integration, backend services, data pipelines, and enough frontend to ship end to endCommunication: You can explain technical concepts clearly to both engineers and business colleagues. ...

help ensure the solutions being delivered address genuine business needs. This is not a generalist AI engineering position. Candidates whose experience is limited to LLM development, generic prompt engineering or AI experimentation, without the required NetDocuments and PatternBuilder experience, will not meet the core requirements. Working Arrangements Salary ...

experience, including DAX and data modelling. Commercial experience building web applications (front end and back end). Practical experience with current AI and LLM tooling, and an interest in agent-based applications. Comfortable in client-facing technical conversations, including with IT and security stakeholders. Able to balance supporting live clients ...

Omnichannel teams to ensure all content is search-optimized by design, not retrofitted. Define and track AI search visibility metrics, including presence in LLM-generated responses, featured content surfaces, and search rankings. Lead experimentation and innovation in AI search, including prompt optimization, structured content frameworks, and emerging discovery formats. Collaborate ...

pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs · Build evaluation pipelines: offline IR metrics (e.g., NDCG, MAP, MRR), LLM quality metrics (e.g., faithfulness, grounding), and A/B testing.· Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization· Stay current with the latest … Azure and/or Google)· Search/vector/graph technologies (e.g., Elasticsearch/OpenSearch/Solr/Neo4j).· Experience in evaluating LLM models· Background with scholarly publishing workflows, bibliometrics, or citation graphs· A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation ...

This Role Matters: Enterprises are raising the bar. AI initiatives must deliver business value—not just promise potential. That means taking cutting-edge LLM capabilities and turning them into resilient, secure, and scalable software. As a Forward Deployed Software Engineer (FDSE), you act as the CTO of the build—owning … everything from backend services to LLM pipelines and front-end integrations. You partner with customers in the field to design, implement, and deliver solution-ready builds in agile sprints. Your software becomes the reference implementation for scalable GenAI in the enterprise. You codify patterns, shape internal tooling, and accelerate innovation ...

applied AI, with a focus on productionising AI services safely and consistently. You will design, build, deploy, and operate cloud-native AI workloads, including LLM-powered services, agentic workflows, data pipelines, and reusable platform components. You will play a key role in improving engineering standards, automation, observability, release discipline … will you do in this role? Design, build, and operate production-grade AI services, data pipelines, and platform capabilities on Azure and Databricks. Develop LLM-powered and agentic workflows that support business process automation, document intelligence, orchestration, and decision support. Expose AI capabilities through secure, maintainable APIs and Azure Function ...

fundamentals. For example feature engineering, model selection, handling imbalanced data, choosing and interpreting metricsExperience with PyTorch or TensorFlowGenAI specificHands on experience with LLM APIs or open source models such as Llama or MistralExperience building RAG systems with vector databases such as FAISS, Pinecone or WeaviateAbility to evaluate and improve prompts … have these. They are a bonus, not a checklist. Experience with Delta Lake, Iceberg, Spark or Databricks, PalantirExperience optimising LLM serving with tools such as vLLM, TGI or TensorRT LLMSearch and ranking experience. For example Elasticsearch or rerankersBackground in time series forecasting, causal inference, recommender systems or optimisationExperience managing cloud ...

Head of Engineering – AI, MLOps & Cloud Platforms Salary: £120,000–£140,000 Permanent | Senior Engineering Leadership | National Security & Defence An exciting opportunity has arisen for an experienced Head of Engineering to join a growing technology ...

Strong experience with Microsoft Copilot/Copilot Studio Strong experience with Microsoft Power Platform and workflow automation Experience building and deploying production AI/LLM applications, agents or AI-powered workflows Experience with Azure OpenAI, Azure AI/AI Foundry or comparable AI platforms Understanding of agentic AI patterns, orchestration … tool use, prompt design and LLM limitations Strong API and systems integration experience, including REST and/or GraphQL Experience designing reusable services, connectors and integration components Microsoft Azure experience across services such as Functions, containers and AI services Strong CI/CD, Git and automated testing experience Experience with ...

Strong experience with Microsoft Copilot/Copilot Studio Strong experience with Microsoft Power Platform and workflow automation Experience building and deploying production AI/LLM applications, agents or AI-powered workflows Experience with Azure OpenAI, Azure AI/AI Foundry or comparable AI platforms Understanding of agentic AI patterns, orchestration … tool use, prompt design and LLM limitations Strong API and systems integration experience, including REST and/or GraphQL Experience designing reusable services, connectors and integration components Microsoft Azure experience across services such as Functions, containers and AI services Strong CI/CD, Git and automated testing experience Experience with ...

Data Platform. We own the AI features that shape how buyers and sellers experience the marketplace, from agentic workflows in the customer journey to LLM-powered tooling for our dealer network. What we build goes into the hands of real sellers and thousands of verified dealers, usually within weeks. When …/CD, observability, and the MLOps practices that keep things healthy once they're live. You're hands-on across the GenAI stack: LLM APIs, retrieval and vector stores, agents with tool use, and structured outputs, running on cloud infrastructure (we use AWS and GCP).You have a real point ...

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

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 Implement LLMOps in production: eval harnesses with real … 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, latency and cost tradeoffs RAG pipeline ownership: embeddings, chunking strategy, vector databases ...

The team you'll be working with: You will join NTT DATA UK's Data Practice, a multi-disciplinary team delivering enterprise-scale data platforms, analytics and data-led transformation for clients. As part of ...

much as innovation, and any wider full-stack or .NET background you bring will be a real bonus. If you've already built LLM-based applications and you're itching to take them to the next level of sophistication, reliability and scale, this is your chance to shape … GraphRAG, particularly ArangoDB; Azure AI services (Azure OpenAI, AI Search, Cosmos DB, AKS, Functions); vector/semantic search; Docker and Kubernetes; multi-tenant applications; LLM evaluation and observability; and Angular, NgRx or .NET/C# development. What we offer Enjoy a benefits package designed to help you thrive, both professionally ...

AI Architect Up to £105,000 This is an exciting opportunity to join a growing technology consultancy at the forefront of AI, Data and Cloud transformation, helping enterprise clients solve complex business challenges through innovative ...

Flexible/Hybrid (UK-based) SC Cleared/Eligible Required Are you passionate about shaping the future with AI? Join our Innovation Team to build cutting-edge solutions using Generative AI, Machine Learning, and Agentic ...

Forward Deployed Engineer Location: London (Hybrid, 3 days per week in the office) Salary: £100,000 + Benefits The Opportunity We're looking for a Forward Deployed Engineer to work at the intersection of software ...

Head of AI Engineering & Delivery - Agentic AI, Artificial Intelligence, Degree Location: Cambridge (Hybrid) Salary: Competitive + Bonus + Share Options About the Company This is an opportunity to join a pioneering artificial intelligence company operating ...

science data, such as in bioinformatics or health informatics. Familiarity with emerging topics in biosecurity, such as metagenomic surveillance, de novo pathogen design, and LLM-based uplift. Ability to identify, breakdown, and solve ambiguous and complex process and technical problems that span across many teams and organizations. At Google, research ...

fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology? Are you passionate about applying Generative AI to solve complex challenges within one of Amazon's most significant and fastest-growing businesses? If so, Amazon's International Seller ...

robots and instruments (liquid handlers, plate readers, scheduling software, LIMS), ideally in an automated lab. Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure its performance. A scientist's instinct for how experiments work: you can spot what ...

data warehouse and BI tools, such as Snowflake and Sigma, to connect system data to reporting. Comfort with AI-enabled workflows, including LLM-based automation and MCP, and a clear sense of where automation shines and where people still lead. Experience with enablement, lead routing, and sales intelligence platforms. Experience ...

Person: 5+ years' applied AI research or ML engineering experience. Proven experience leading technical teams and research through to production. Hands-on expertise with LLM/vision model training, fine-tuning, agents and evaluation. Strong understanding of model quality, benchmarking and production ML systems. Excellent research judgement, ownership and communication ...