26 to 50 of 533 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 ...

Strong commercial experience using Python in applied AI or machine learning contexts Proven delivery of end-to-end AI solutions such as RAG systems, LLM-powered applications, or agent-based workflows Experience working closely with clients or end users, translating real requirements into technical solutions Solid software engineering fundamentals, including ...

through to production deployment. Build MVPs and collaborate closely with Engineering and Product teams to bring ideas to life. Apply advanced machine learning and LLM techniques, including RAG, agents and NLP, where they drive meaningful customer and product impact. Work with large-scale datasets in cloud environments to deliver robust ...

define Generative AI opportunities and use cases Lead client workshops and shape AI strategy and roadmaps Architect and deliver scalable AI solutions, including LLM and agent-based systems Lead end to end delivery of complex AI projects across global teams Mentor engineers and data scientists and drive best practice ...

markets, trading, or investment research Familiarity with time series analysis and financial data Full-stack proficiency: Python (backend) and React JS (frontend) Experience with LLM inference APIs and agentic frameworks AWS or equivalent cloud infrastructure experience Interested? If this sounds like the right next step, feel free ...

principles Ability to translate business requirements into scalable technical solutions Strong communication skills and experience working with stakeholders Desirable Experience with RAG pipelines and LLM-based solutions Exposure to Microsoft Copilot Studio Experience with Databricks, SQL or Python Knowledge of CI/CD and DevOps practices Background working in regulated ...

adopt emerging AI and agent technologies. Hands-on experience with vector databases, embeddings, or prompt engineering. Understanding of AI fundamentals and experience using LLM APIs or AI-enhanced features and Agents. Experience with cloud services such as AWS, Azure, or serverless platforms. Interest in distributed systems, event-driven architectures ...

mindset, able to set architectural direction and foresee emerging trends. Advanced knowledge of AI and ML technologies, including generative AI, agentic architectures, RAG pipelines, LLM integration, and responsible AI governance. Strong multi-cloud expertise with GCP, AWS, and Azure, including serverless, event-driven architectures, IaC, and container orchestration. Proven ability ...

Requirements Required Active SC clearance Commercial experience building multi-agent or agentic AI systems in production Strong Python skills and hands-on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding ...

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 ...

where you want within the United States. Responsibilities Drive the strategy, design, and delivery of scalable data platforms powering business intelligence, predictive analytics, and LLM capabilities across enterprise customers, built on modern microservices architecture. Drive the successful completion of complex projects that span multiple domain teams as data is core ...

They are a growing data and AI organisation developing conversational tools, data assistants, and NLP solutions for analytics and trading teams. Their work spans LLM fine tuning, automation, and website chatbots, supported by strong engineering and DevOps functions. They operate an AWS environment and encourage collaboration across teams. The Role ...

They are a growing data and AI organisation developing conversational tools, data assistants, and NLP solutions for analytics and trading teams. Their work spans LLM fine tuning, automation, and website chatbots, supported by strong engineering and DevOps functions. They operate an AWS environment and encourage collaboration across teams. The Role ...

real-world problems, and delivering solutions at pace. Key Responsibilities Design and build scalable full stack applications Develop and deploy AI-powered solutions including LLM integrations and RAG systems Work closely with stakeholders to translate business needs into technical solutions Lead rapid prototyping and production delivery Contribute to architecture decisions ...

real-world problems, and delivering solutions at pace. Key Responsibilities Design and build scalable full stack applications Develop and deploy AI-powered solutions including LLM integrations and RAG systems Work closely with stakeholders to translate business needs into technical solutions Lead rapid prototyping and production delivery Contribute to architecture decisions ...

same stack, and the same mission. The difference is your specialism. ────────────────────────── 1. Staff SE – Agentic AI Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps ...

debate and align to unified decisions. Own operability: CI/CD, monitoring/alerting, performance optimisation, safe rollbacks. Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Help evolve our reusable product templates and shared architecture across ...

What We’re Looking For Consulting or product-led background with direct client exposure Strong Python and hands-on delivery of GenAI systems (RAG, LLM apps, agent workflows) Able to write production-quality, maintainable code Familiar with prompt engineering, evaluation, and tools such as LangChain/LangGraph Clear motivation ...

core platform, working closely with enterprise customers, as well as building new zero-to-one initiatives. What we expect: Within days: Translate novel LLM capabilities into understandable, intuitive and performant end-user experiences. Release your first code, we believe in the “You Build It, You Run It” principle Work directly ...

concept. AI Engineer Responsibilities Own and evolve a production-ready AI platform Design and deliver AI-powered client solutions, including RAG pipelines, agent architectures, LLM integrations, and protocol-driven tooling Build scalable AI systems using modern software engineering best practice (clean code, testing, CI/CD) Develop internal AI tooling ...

teams Nice to Have Degree in Computer Science or a related discipline from a Tier 1 academic group Experience with production machine learning or LLM-based systems Exposure to enterprise data platforms or similar tools Frontend development experience (e.g., React) Familiarity with distributed computing frameworks (e.g., Spark) What ...

learning, NLP and large language models to solve complex research and data problems. The team is focused on developing scalable, intelligent systems , increasingly incorporating LLM-powered and agentic workflows to automate sophisticated tasks. As one of the early engineering hires, you will play a key role in building and scaling ...

data infrastructure, ensuring the right tooling and platforms are in place to scale effectively. Monitor and evaluate emerging AI capabilities, particularly agentic AI and LLM-based technologies, and guide how the organisation adopts them. Team Leadership & Capability Lead the Data & Analytics function with clarity and technical authority, creating an environment ...

these tools. You'll take technical ownership of major domains within our platform — whether that's our Investigations pipeline (web scraping, data provider integrations, LLM-powered analysis) or our Core App systems (user journeys, features, and configuration). You'll be a technical authority, establishing patterns that others follow ...

serious upside this is exactly that. Required Skills: 25 years experience in AI/ML Engineering or Applied AI roles Experience building or deploying LLM-driven applications or tools Strong Python skills and familiarity with modern AI tooling Understanding of prompt engineering, evaluation, and model performance Experience working in fast ...