26 to 50 of 721 LLM Jobs in the UK

environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform ...

data and documents as well as Gemini based skills, across client, product, and transaction lifecycles to improve responsiveness, operational efficiency, and control. GenAI/LLM capabilities, document intelligence, workflow automation, GCP migration expertise, CloudOps. ...

lean development practices. Desirable: Experience in edtech, innovation, or new product development. Hands-on front-end development experience. Experience building AI/ML/LLM-powered applications. Interest in LLMs and emerging AI technologies. Experience with big data tooling. Package: 6 months initial contract £650 p/day (Outside IR35 ...

development skills Nice to have: Hands-on experience in Python, .NET, TypeScript, or API-first design Familiarity with Microsoft Fabric Exposure to AI/LLM concepts (RAG, embeddings, vector databases) Experience integrating Power Platform solutions in enterprise environments ...

expect to be involved in the following: Designing, building, and running AI solutions Combining software engineering, data engineering, and machine learning/LLM skills to deliver robust AI products Leading medium to large AI initiatives independently, making technical decisions and trade-offs Working closely with stakeholders Building reusable AI components ...

workflows and agents. AI Expertise Solid understanding of modern AI concepts and patterns developed over the last few years. Experience in LLM orchestration, agent frameworks, prompt engineering and real‐world delivery. An “eye for making it work” — practical, production‐focused engineering. Ways of Working Able to step into an environment ...

best practices and responsible AI. What You Bring A strong background in AI architecture with hands-on experience in Conversational AI and LLM platforms, ideally including Amelia or a comparable product. Deep knowledge of LLMOps, MLOps, AIOps, and modern AI engineering practices, with strong programming skills in Python, Java ...

Leader in Credit Ratings and Financial Research currently seeking a specialist Generative AI Engineer for a high-priority, long-term contract. The Core Mission LLM Orchestration: Design and deploy sophisticated RAG (Retrieval-Augmented Generation) pipelines to query vast proprietary financial datasets. Model Optimization: Fine-tune open-source and proprietary models ...

business workflows Lead complex AI implementations, ensuring solutions deliver measurable value Evaluate and select appropriate models, frameworks, orchestration tools and platforms Architect and scale LLM-powered applications including chatbots and agent-based systems Produce thought leadership content and contribute to go-to-market propositions Maintain strong awareness of emerging technologies ...

delivery, solution design, and client-facing impact. What You’ll Work On Designing and implementing Agentic AI architectures for enterprise workflows. Building and deploying LLM-powered solutions, including Q&A systems, RAG pipelines, and autonomous agents. Developing custom copilots, plugins, and declarative agents using Microsoft Copilot Studio and Azure ...

scalable API platforms. Key Responsibilities Own the technical strategy and execution across the company’s core products, including real-time APIs, data pipelines, and LLM-powered analytics. Collaborate closely with Product and Data Science to deliver a forward-thinking technology roadmap. Lead, mentor, and scale a high-performing engineering team ...

Engineer: Lead end‐to‐end delivery of scalable, resilient AI/ML pipelines aligned to business goals. Build and deploy advanced ML, DL, and LLM solutions, including RAG, agentic architectures, and evaluation frameworks. Mentor engineers in ML engineering, orchestration, and modern AI best practices. Communicate system behaviours, risks, and outcomes ...

Python development background Hands-on experience working with Large Language Models (LLMs) Experience with AWS services such as Bedrock, Lambda, S3, Lex and CloudWatch LLM evaluation and prompt engineering/optimisation Experience leading or mentoring engineers Strong communication skills with the ability to influence technical and non-technical stakeholders What ...

Python development background Hands-on experience working with Large Language Models (LLMs) Experience with AWS services such as Bedrock, Lambda, S3, Lex and CloudWatch LLM evaluation and prompt engineering/optimisation Experience leading or mentoring engineers Strong communication skills with the ability to influence technical and non-technical stakeholders What ...

board and senior team members Proven ability to design analytics-ready data models and metrics layers Practical experience with large language models LLM's, prompt engineering, and RAG architectures Proficiency in Python (data manipulation, API interaction) and SQL data modelling Experience working with REST APIs and integrating multiple business systems ...

Contract Machine Learning Engineer (LLM & GC) 6-Month Contract | Outside IR35 | £600 per day We are seeking an experienced Machine Learning Engineer to support the design and build, production ready ML models on Google Cloud Platform (GCP). This is a hands-on delivery role, focused on turning models into ...

productivity agent. This AI Research Engineer role focuses on applied experimentation and fast iteration. You’ll prototype, evaluate and shape AI-first products, particularly LLM-powered agents, without being solely responsible for long-term platform ownership. Key Responsibilities • Rapidly prototype and benchmark LLMs, embeddings, and RAG pipelines • Build AI agents ...

want to build production-grade AI agents that directly impact P&L? Have you taken LLM systems from prototype to secure, scalable production in a regulated environment? Are you ready to architect the foundations of an AI-first insurer? A digitally-led UK specialist home insurer (200–300 employees ...

will work with cross‐functional product and engineering teams to: Design, develop and enhance services using Amazon Connect , Amazon Lex , Contact Flows , Lambda , and LLM‐driven capabilities Build new features and maintain existing products across multiple Connect environments Write clean, maintainable code in TypeScript , JavaScript , and Python Implement DevOps best ...

GenAI systems. The role is hands-on and end to end, covering data preparation, model development, and deployment across traditional ML and LLM-based use cases. You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment. You will collaborate ...

GenAI systems. The role is hands-on and end to end, covering data preparation, model development, and deployment across traditional ML and LLM-based use cases. You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment. You will collaborate ...

GenAI systems. The role is hands-on and end to end, covering data preparation, model development, and deployment across traditional ML and LLM-based use cases. You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment. You will collaborate ...

GenAI systems. The role is hands-on and end to end, covering data preparation, model development, and deployment across traditional ML and LLM-based use cases. You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment. You will collaborate ...

GenAI systems. The role is hands-on and end to end, covering data preparation, model development, and deployment across traditional ML and LLM-based use cases. You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment. You will collaborate ...

GenAI systems. The role is hands-on and end to end, covering data preparation, model development, and deployment across traditional ML and LLM-based use cases. You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment. You will collaborate ...