651 to 675 of 1,011 LLM Jobs in the UK

machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods … Operations Research, Optimization, or Data Science or an MS with significant years of industry or research experience in the field Solid background in NLP, LLM and graph analytics and hands‐on experience and solid understanding of machine learning and deep learning methods Hands‐on experience building agentic AI/multi ...

deployment cycles. Talent Development: Actively mentor AI Engineers into technical leaders capable of owning and scaling complex agentic architectures. Skills/Must have LLM Production: Proven experience shipping and running LLM-based systems in a production environment (not just internal prototypes). Python Expertise: Production-grade Python engineering skills ...

developing cutting-edge software solutions. This is an ideal opportunity for an ML Engineer who has a strong academic background and experience working with LLM technologies. You will work alongside Software Engineers, Machine Learning specialists, and the wider tech team to deploy, integrate and optimise innovative machine learning models within … website). Keywords: Machine Learning Engineer/Machine Learning Engineer/AI Engineer/Applied AI Engineer/Generative AI Engineer/LLM Engineer/ML Software Engineer/AI Software Engineer/Machine Learning Software Engineer/ML Infrastructure Engineer/Model Deployment Engineer/AI Integration Engineer/ ...

cloud infrastructure using Lambda, Glue, S3 etc. Experience in deep neural networks and familiarity with the latest developments in related fields. Experience in LLM model fine‐tuning and continuous learning techniques. Experience in prompt engineering techniques and state‐of‐the‐art LLM architectures. Equal Opportunity Employer We recognize that ...

will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. Develop and implement NLP, LLM, and generative AI approaches (e.g., Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large-scale … model performance. Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong coding skills in Python. Experience with generative AI techniques (e.g., Experience designing and evaluating hybrid search (semantic + lexical) using embeddings ...

scaling backend systems, distributed platforms, or inference infrastructure Strong understanding of AI/ML inference systems and experience with inference engines (vLLM, TGI, TensorRT‐LLM, or similar) Deep knowledge of distributed systems design, microservices architecture, and API gateway patterns Proficiency in Golang strongly preferred; Python, Rust, C++ for performance‐critical … processing frameworks Systems-Level Programming: Experience with low‐level systems programming such as storage systems, Kubernetes operators, OS-level software development, or daemon services (llm‐d, system agents) ML Platform Engineering: Experience productionizing ML pipelines, batch job orchestration, model fine‐tuning workflows, and Jupyter notebook orchestration systems Enterprise Deployment: Experience ...

/ML, or solutions architecture, with a strong track record of designing and shipping production-grade systems, and recent hands-on experience architecting LLM or multi-agent systems. Agent Systems Expertise: Deep, hands-on experience with agent orchestration, tool and function calling, state management, and retrieval, ideally in production rather … taking a sandbox or prototype system to production through connector and tool abstraction, including performance, monitoring, deployment, and rollback. AI-Native Workflow: Comfort utilizing LLM code assistants and agentic engineering to improve speed, quality, and architectural clarity. Agile Execution: Ability to work effectively in fast, hypothesis-driven delivery cycles where ...

Define the long-term technology strategy Architect highly scalable AI-native systems Build reliable multi-agent and autonomous AI platforms Lead decisions across LLM infrastructure, distributed systems and developer platforms Recruit and mentor a world-class engineering team Establish engineering culture, technical standards and hiring practices Partner directly with … founders on product and company strategy We're interested in CTOs who have built products involving: AI Agents LLM platforms Generative AI Autonomous workflows Distributed systems Cloud-native platforms Large-scale backend architecture Event-driven systems Developer platforms Production AI infrastructure Experience with technologies such as OpenAI, Anthropic, LangGraph, LangChain ...

tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data‐contract stability, and evaluation coverage for AI‐driven features. Candidates who treat AI tooling as optional or experimental … architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract/data mesh approaches Exposure to M365 or GWS integration ...

Great Baddow (Hybrid - 2/3 Days On-Site) | Up to £65,000 + Bonus & Benefits An exciting opportunity has become available for an AI/ML Researcher to join an advanced research and innovation ...

platforms such as SharePoint, Microsoft Power Platform, HighQ, Legatics, Kira, DocuSign, iManage, NetDocuments and alternatives. Develop integration solutions involving generative AI‐enabled assistants and LLM platforms, considering prompt engineering and retrieval‐augmented generation. Ensure all integrations meet information security, data classification, access control and governance requirements. Stakeholder Engagement & Commercial Contribution … failures. Qualifications, Skills and Experience Technical Skills Expertise in integration methods (REST, Graph API, JSON, XML, OAuth, SSO, event‐driven architecture). Experience integrating LLM‐based and agentic platforms, including vendor‐provided MCPs and model APIs. Knowledge of secure and scalable patterns for external AI services and workflow automation tools. ...

About Us We’re the world’s leading provider of secure financial messaging services, headquartered in Belgium. We are the way the world moves value – across borders, through cities and overseas. No other organisation can ...

DIONIX AI is seeking an AI/ML Engineer specializing in Large Language Models and Generative AI for its B2B SaaS products. You will design, build, and deploy agentic workflows, and predictive models, collaborating with ...

build production AI systems that change how our commercial teams work. This is a hands‐on engineering role: you'll design, ship and maintain LLM‐powered applications, automation and models that solve real problems across Sales, Marketing and Customer Success. You'll work close to the business, turning messy commercial … questions into working software. What you'll do Design, build and deploy production AI applications (LLM‐powered tools, agents, automation) that commercial teams use daily. Build and maintain ML models for problems like churn risk, lead scoring, pipeline and revenue forecasting, and expansion signals. Ship fast: prototype ...

build production AI systems that change how our commercial teams work. This is a hands-on engineering role: you'll design, ship and maintain LLM-powered applications, automation and models that solve real problems across Sales, Marketing and Customer Success. You will work close to the business, turning messy commercial … questions into working software. What you’ll do Design, build and deploy production AI applications (LLM-powered tools, agents, automation) that commercial teams use daily. Build and maintain ML models for problems like churn risk, lead scoring, pipeline and revenue forecasting, and expansion signals. Ship fast: prototype ...

resolution rebrand. We replace per-resolution agent SaaS (Salesforce Agentforce, Intercom Fin, Zendesk Resolve) with custom agents that run on the client’s own LLM contract. AI Engineers here own the agent architecture, eval harnesses, and production stability. WHAT YOU’LL DO Architect agent loops: planner/executor/verifier … + Anthropic/OpenAI accounts. Their tokens, their data, their audit log. MUST‐HAVES 6+ years building production software. At least 1 year shipping LLM‐powered features to real users (not POCs). Strong Python or TypeScript. Comfortable writing structured‐output schemas (Pydantic, Zod) and reading Anthropic + OpenAI docs ...

systems that actually behave like they understand it. This isn't a research role. It's a build role. The gap between a great LLM demo and a trustworthy AI doctor is enormous — your job is to close it. You could be responsible for AI agent architecture — design and ship … would trust Data pipelines — ingestion and normalization from labs (Eurofins, Randox), wearables, and third-party partners. Clean data in, reliable inference out Production reliability — LLM endpoints that reason correctly at scale, with observability, evals, and failure modes you've thought through before they happen Medical collaboration — translate complex clinical requirements ...

learning engineering Proven experience building production AI applications Strong Python engineering capability Experience deploying AI products into real-world environments Experience with several of: LLM applications Agentic AI frameworks Multi-agent systems RAG architectures Vector databases AI orchestration platforms AI evaluation and observability tools Model optimisation and fine-tuning Mindset … just a product Ideal Backgrounds Senior AI Engineer Lead AI Engineer Founding AI Engineer Applied AI Engineer AI Product Engineer Machine Learning Engineer (LLM Focus) AI Solutions Architect What's on Offer Competitive salary Meaningful equity opportunity Direct access to founders and strategic decision-making Significant autonomy and ownership Flexible ...

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Engineer, Infrastructure based in United Kingdom. Join an innovative engineering team ...

Responsibilities Develop ML products and AI Lenses that serve millions of Snapchatters on a daily basis, with a primary focus on image and video generation and editing, as well as large language models. Build cutting ...

Role Overview We are seeking a highly experienced technical specialist who can independently lead and execute a wide range of technology initiatives across Contact Centre, Voice AI, Agent Assist, Data Integration and Platform Engineering domains. ...

Java Full Stack Engineer About the Role Join a growing digital transformation and technology consultancy that delivers innovative solutions to a diverse range of organisations. Working as part of a collaborative, multidisciplinary team, you will ...

Who are we? Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise ...

Senior Technical Lead (2 Positions Available) Job Type: Permanent | Full Time Salary: £90,000+ per annum (Dependent on Experience) About the Role Our client is looking for two experienced Senior Technical Leads with deep expertise ...

Trainee AI Engineer No Experience Needed Future-proof your career in Artificial Intelligence starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...