176 to 200 of 487 LLM Jobs in the UK

engineers, and AI researchers on national security projects Design, develop, and iterate on machine learning models for traditional ML use cases and GenAI/LLM applications Explore and implement ML and LLM models on complex, multi-modal datasets Apply modern MLOps/LLMOps practices, including experiment tracking, versioning, and deployment … design, and deliver operationally-ready AI and ML solutions Key Responsibilities: Design, develop, and deploy machine learning models for forecasting, classification, anomaly detection, and LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly Transition validated experiments into production-ready solutions, working closely with other engineers ...

intelligent automation. Technology Environment The platform sits at the intersection of AI systems, automation, and scalable platform engineering , typically involving technologies such as: Large language model–driven systems AI-assisted automation and orchestration Intelligent workflow systems Data pipelines and evaluation frameworks Distributed platform architectures What We’re Looking For Core ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

help. This means to organise, perform, document, and follow up on the threat models taking place. Perform threat modelling for AI-enabled systems, including LLM-based and agentic architectures, identifying risks introduced by autonomy, tool use, memory, and orchestration layers. Work with engineering and product teams to define secure design ...

health, clinical systems, or AI-powered products. Familiarity with UK healthcare technology standards or NHS digital infrastructure is a plus. Experience with AI or LLM-based products in a production environment. Background working with small, focused engineering teams where individual contributions matter. Why This Role Matters Demand for mental health ...

Principal AI Engineer AI, LLM, Python, CI/CD, SaaS/PaaS, Prompt Engineering, Agentic Workflows, Platform Systems, Remote (UK) Excellent Salary + Benefits This is a fantastic Principal AI Engineer opportunity to work with a leading technology services organisation, to build and scale intelligent AI that delivers adaptive … time, adaptive experiences. The Principal AI Engineer will collaborate closely with product, content, and platform teams to design, implement, and optimise large language model (LLM) architectures, agentic workflows, and AI-driven solutions. Responsibilities include developing scalable, maintainable software, integrating AI capabilities across platform systems, running rigorous experimentation with custom evaluation ...

architecture, contribute across the stack, and work closely with Product to turn ambiguous problems into impactful solutions. You'll also integrate AI/LLM capabilities into production systems, ensuring reliable, real-world outcomes. Key Responsibilities Translate business needs into scalable technical solution click apply for full job details ...

architecture, contribute across the stack, and work closely with Product to turn ambiguous problems into impactful solutions. xehkeey You'll also integrate AI/LLM capabilities into production systems, ensuring reliable, real-world outcomes. Key Responsibilities ...

Senior AI Engineer | Glasgow Hybrid | £75,000 £100,000 + bonus + exceptional benefits Build production-grade LLM and GenAI solutions inside one of the UK's fastest-growing enterpise AI teams. This is a hands-on engineering role with a multi-award-winning UK consultancy whose AI practice … defence clients. You'll be designing, building and shipping enterprise GenAI systems in Python. What you'll be doing Designing and building production LLM and GenAI solutions in Python from prototype through architecture to deployment. Implementing advanced RAG pipelines hybrid search, re-ranking, query rewriting, context compression, evaluation and grounding. ...

Senior AI Engineer | Reading, Hybrid | £75,000 £100,000 + bonus + exceptional benefits Build production-grade LLM and GenAI solutions inside one of the UK's fastest-growing enterpise AI teams. This is a hands-on engineering role with a multi-award-winning UK consultancy whose AI practice … defence clients. You'll be designing, building and shipping enterprise GenAI systems in Python. What you'll be doing Designing and building production LLM and GenAI solutions in Python from prototype through architecture to deployment. Implementing advanced RAG pipelines hybrid search, re-ranking, query rewriting, context compression, evaluation and grounding. ...

monitor transfer market opportunities, including players approaching contract expiry, loan candidates, and undervalued assets relative to profile AI-Powered Workflows Develop and deploy LLM-powered scouting tools for example, systems that automatically generate structured player summary reports from statistical profiles or unstructured scouting notes Build retrieval-augmented generation (RAG) pipelines … NumPy, matplotlib/plotly) Strong SQL skills ability to design schemas, write complex queries, and manage relational data across large datasets Demonstrated experience integrating LLM APIs (Anthropic, OpenAI, or equivalent) to build AI-assisted workflows, automated pipelines, or analytical tools Version control proficiency (Git) all analytical work should be reproducible ...

ingestion: SAP, APIs, email, flat files) * Client-specific models built on shared base models (micro-model architecture) * Feedback-driven learning loops and model iteration * LLM workflows for document analysis (multi-prompt pipelines) * AWS and GCP infrastructure (Azure being introduced) * Containerised deployments with CI/CD * Multi-environment deployment (cloud, hybrid … complex business logic * Experience in small, fast-moving teams (startup, scaleup, or consulting) * Strong communication and documentation skills Nice to have: * Experience with LLM workflows (RAG, LangChain, etc.) * Experience in logistics, trade, or compliance data * Experience supporting client-facing or pre-sales conversations To Apply: Please email ...

Responsibilities Build and ship production ready AI/ML features-from data ingestion and feature engineering to model training, evaluation, and deployment Develop LLM/GenAI solutions (prompt engineering, tool use, guardrails) and RAG pipelines (chunking, embeddings, vector search, caching, re ranking) Optimise training and inference performance via batching, quantisation … with API Development and Microservices architecture Experience in CI/CD pipelines, and containerization (Docker/Kubernetes), Harness and Git actions Practical experience implementing LLM and GenAI solutions, including prompt engineering, model fine tuning, RAG pipelines, embeddings, and vector databases Build scalable data pipelines and workflows on GCP (Big Query ...

done real AI work inside a high-calibre engineering organisation and worked closely with product. What you'll do Design and deploy LLM/RAG systems (GPT, Claude, Gemini) powering content generation, semantic search, and personalised learning experiences Build Knowledge Graph capabilities to underpin agentic workflows … Enable and upskill colleagues across the organisation, making AI tangible and accessible What we're looking for You've built and deployed ML/LLM systems in production. Not just fine-tuned a model in a notebook you've taken it to real users, measured it, and iterated. ...