326 to 350 of 930 LLM Jobs in the UK

building and running production ready back-end and frontend systemsExperienced building software that live operations depend onStrong python skills and comfortability in building LLM-powered productsStrong academic background Why join? Ability to work closely with the founders and the rest of the talented engineering teamChance to have massive impact ...

such as GitHub, Copilot, Cursor, or similar Understanding of where AI adds value in the software development lifecycle Interest in emerging areas such as LLM APIs, RAG, or automation is beneficial but not essential If you're a developer who enjoys working across the full stack, solving challenging problems ...

will influence how the industry responds. QualificationsStrong record of technical leadership and architecture on complex, novel systems. Deep expertise building and scaling agentic/LLM systems with rigorous evaluation, guardrails, and production reliability. Demonstrated depth across both domains - able to lead credibly in offensive security and detection/SecOps. Advanced ...

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 ...

eligibility to obtain it Desirable Experience CISSP and/or CCSP certification ISO 42001 implementation, audit or certification experience Hands-on security testing of LLM applications or agentic AI systems Python or other scripting used in a security context Compliance-as-code or machine-readable compliance formats such as OSCAL ...

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 ...

deliver integrated solutionsFoster a team culture that values collaboration, learning, and a shared commitment to client successIdentify and implement AI-driven automation and LLM integrations to streamline implementationWho You AreBachelor's degree or equivalent, ideally in Business, Finance, Math, Economics, or another data-oriented field3+ years of experience in data ...

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 ...

role for someone who still loves building, not a step into management. What you'll do Agentic and AI systems engineering Design and build LLM applications using modern orchestration patterns, prompt frameworks and evaluation loops Build multi-agent systems covering planning, delegation, tool use, safety constraints and monitoring Build retrieval … experience in life sciences, pharma or healthcare, FMCG or retail, insurance, or banking and financial services Deeper ontology or knowledge graph expertise Experience with LLM evaluation and observability tooling Strong engineers from non-AI backgrounds who have moved quickly into agentic AI and can show what they have built ...

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 ...

Our client is a leading British bank. Embark on a transformative journey as a Forward Deployment Engineer at our client, our vision is clear To design, develop and improve software, utilising various engineering methodologies, that ...

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 ...