826 to 850 of 2,287 LLM Jobs in the UK

related things we're interested in Experience in due diligence, governance and compliance, risk, or another data-heavy regulated domain. Familiarity with LLM concepts and emerging agent standards such as MCP. Experience working with third-party data providers and commercial data licensing. Previous experience in a fast-growing startup environment. ...

cloud-native architectures. Deliver scalable, secure, and reliable solutions using Python , SQL , Git , and CI/CD practices. Test, evaluate, and continuously improve LLM and AI Agent performance, reliability, and safety. Collaborate with business, data, and engineering teams to drive AI adoption and innovation. Required Skills AI , Generative AI (GenAI … LangChain , LangGraph , Model Context Protocol (MCP) RAG , Embeddings , Vector Databases Python , SQL , REST APIs Git , CI/CD Cloud Platforms (Azure, AWS, or GCP) LLM & AI Agent Testing and Evaluation Desirable Skills Knowledge Graphs Semantic Search Responsible AI Token Optimisation & Cost Management AI Evaluations (Evals) Re-ranking Techniques Caching Strategies ...

focus on deploying and optimising speech and language models across cloud and edge environments. The successful candidate will work on production-grade ASR, TTS, LLM and Small Language Model pipelines , taking AI capabilities from development through to highly available, low-latency production environments. The Role As a Machine Learning Engineer … supporting real-time conversational applications. Key responsibilities will include: Designing and deploying production-grade, low-latency Automatic Speech Recognition (ASR), Text-to-Speech (TTS), LLM and Small Language Model (SLM) pipelines. Building high-performance asynchronous REST and WebSocket APIs using FastAPI to support real-time conversational AI applications. Deploying machine ...

landscape; with preference for GCP and Vercel , or suitable equivalents on AWS and Azure, and the capability to draw parallels across platforms. GEO and LLM optimisation: experience designing intelligent experiences and content structures optimised for generative engine discovery and LLM retrieval. Model fine‐tuning: experience customising and fine‐tuning existing ...

team can maintain after your engagement ends. What We're Looking For Significant professional software engineering experience (typically 6+ years), including several years building LLM-based or agentic systems, with a demonstrable track record as a senior or lead engineer. Strong software engineering fundamentals: you write clean, tested, production-grade … systems in production, owning them as an engineer rather than integrating them as a user. Strong Python, with hands‐on experience building on LLM frameworks (LangGraph, LangChain, Haystack, or similar) and the ability to work below the framework when you need to. Experience designing and deploying AI/ML systems ...

team can maintain after your engagement ends. What We're Looking For Significant professional software engineering experience (typically 6+ years), including several years building LLM-based or agentic systems, with a demonstrable track record as a senior or lead engineer. Strong software engineering fundamentals: you write clean, tested, production-grade … systems in production, owning them as an engineer rather than integrating them as a user. Strong Python, with hands‐on experience building on LLM frameworks (LangGraph, LangChain, Haystack, or similar) and the ability to work below the framework when you need to. Experience designing and deploying AI/ML systems ...

team can maintain after your engagement ends. What We're Looking For Significant professional software engineering experience (typically 6+ years), including several years building LLM-based or agentic systems, with a demonstrable track record as a senior or lead engineer. Strong software engineering fundamentals: you write clean, tested, production-grade … systems in production, owning them as an engineer rather than integrating them as a user. Strong Python, with hands-on experience building on LLM frameworks (LangGraph, LangChain, Haystack, or similar) and the ability to work below the framework when you need to. Experience designing and deploying AI/ML systems ...

team can maintain after your engagement ends. What We're Looking For Significant professional software engineering experience (typically 6+ years), including several years building LLM-based or agentic systems, with a demonstrable track record as a senior or lead engineer. Strong software engineering fundamentals: you write clean, tested, production-grade … systems in production, owning them as an engineer rather than integrating them as a user. Strong Python, with hands-on experience building on LLM frameworks (LangGraph, LangChain, Haystack, or similar) and the ability to work below the framework when you need to. Experience designing and deploying AI/ML systems ...

based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and confidentiality. Key ResponsibilitiesML & LLM Engineering, Search and Recommendation EnginesAutomate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such … implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization Stay current with the latest ...

systems, including multi-agent workflows, tool-use integrations, and human-in-the-loop controls appropriate for regulated financial services environments Establishes engineering standards for LLM-based applications RAG pipelines, embedding workflows, vector store integrations, and model serving ensuring safety, observability, and reproducibility at scale Drives adoption of advanced technical methods … delivering system design, application development, testing, and operational stability at enterprise scale Hands-on experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures with tool use, memory, and multi-step reasoning in regulated environments Expert in one or more programming languages, particularly Python ...

opportunities that deliver measurable value. * Develop AI agents, automations and intelligent workflows across modern enterprise platforms. * Prototype and experiment with generative AI and large language model solutions. * Design and run pilot programmes with business users. * Measure outcomes, track benefits, and evaluate success against defined objectives. * Rapidly iterate solutions based … solutions, prototypes, automations or intelligent agents. * Strong understanding of AI technologies and their practical business applications. * Experience working with modern AI platforms and large language model technologies. * Ability to work independently and deliver outcomes in ambiguous environments. * Strong analytical and problem-solving capabilities. * Comfortable engaging with both technical ...

grade applications Experience designing and building AI, machine learning, generative AI, or agentic applications, including integration with enterprise systems and workflows Strong understanding of LLM application patterns, including prompt engineering, retrieval‐augmented generation, tool calling, context management, evaluation, and guardrails Experience with RESTful API design, development, and integration, including frameworks … across multidisciplinary teams Preferred Qualifications, Capabilities, and Skills Experience designing or operating multi‐agent systems, agent orchestration frameworks, workflow automation platforms, or tool‐augmented LLM applications Experience with context engineering techniques, including retrieval strategies, embeddings, vector databases, knowledge graphs, semantic search, memory management, and grounding approaches Experience building evaluation frameworks ...

AI Architect - SC cleared - London/Hybrid - £682 - 6-12 months - Government project Key Responsibilities Architect enterprise-grade AI solutions using frontier foundation models (eg Claude, GPT, Gemini family) across use cases including agentic automation ...

Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership ...

Company Description We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We ...

Senior Specialist Solutions Architect (AI/ML) London, United Kingdom Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the ...

About usAt Trainline, our purpose is to empower greener travel choices, connecting people and places. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through ...

About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey ...

coding'—requires writing production code and building agent systems and integrations. About the Role Build and ship production-grade AI agents, agentic workflows, and LLM integrations for internal automation and in-product features for a web-native trading platform. Own implementation, observability, and security while partnering with Product and Platform … lean team. Key Responsibilities Build agent loops, tool-calling, structured outputs, planning/state management, retries, guardrails, and orchestration layers on top of LLM provider APIs (Anthropic, OpenAI, open-weight models, MCP). Ship internal AI automations to remove engineering/support/growth toil by integrating with existing tooling ...

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 ...

AI Engineer London ( SE1) | Hybrid - 3 days on-site | £80,000 - £90,000 DOE + £5,000 car allowance + private medical The opportunity A prestigious household name UK consumer services business with tens of ...

Principal AI Data Engineer Certain Advantage is hiring for a Principal AI Data Engineer based in London. This role is an initial contract until the end of the year and is hybrid, requiring 3 days ...

Senior Java Developer Location: Hybrid (Newcastle or Edinburgh - 1 day per month) Salary: £75,000 per annum Type: Permanent, Full-Time We are looking for an experienced Senior Java Developer to join a growing technology ...

As our Apprentice AI Engineer, you will be at the frontier of our product capability designing and building autonomous, goal-directed AI agents that can reason, plan, and act across complex workflows. Role Agentic AI ...

LangChain, LangGraph, and MCP. Deliver scalable solutions using Python, SQL, Git, and CI/CD best practises. Test, evaluate, and continuously improve AI and LLM performance. Collaborate with engineering, data, and business stakeholders to drive AI adoption and innovation. Required Experience: Strong background in Generative AI, LLMs … Familiarity with cloud platforms such as Azure, AWS, or GCP. Demonstrated experience integrating AI services into enterprise platforms. Expertise in evaluating, testing, and optimising LLM and AI Agent performance. Desirable Experience: Knowledge of Knowledge Graphs and Semantic Search. Understanding of Responsible AI principles. Experience with AI Evaluations (Evals ...