1 to 25 of 244 LLM Jobs in the UK excluding London

platforms such as AWS, Azure ML and GCP AI Services. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases, while shaping impactful consulting solutions across industries like Banking, Finance, and Capital Markets. Your Role As a Senior ...

Kubernetes based deployments, GPU compute infrastructure. Working knowledge of Generative AI and hands on experience in deploying and hosting Large Foundational Models. Experience with LLM architecture (e.g., Transformer, GANs, VAEs), Fine-tuning, Retrieval Augmented Generation techniques and Context embedding, Vector database technologies and Semantic Search techniques & tools. Experience in writing ...

Responsibilities Lead client discovery sessions and pre-sales activities, proposal creation, identifying technology and AI opportunities and defining project scope Proven GenAI and LLM expertise, from RAG and fine-tuning to observability, focused on driving measurable business outcomes Advise on technology and architecture decisions, balancing cost, risk, and performance Advising ...

JIRA Bonus points for: Knowledge/experience working with Cloud, preferably AWS Knowledge of AI/ML and latest AI trends & technologies Familiarity in LLM frameworks and libraries such as LangChain, Langfuse, LiteLLM CI/CD/Docker/Kubernetes Soft skills: Agile/SCRUM Strong technical, problem solving ...

Power BI/dashboard developer role Not an insight, reporting or MI position Not a modelling, ML or research-focused role Not an LLM, AI or advanced data science role While you may work alongside analysts and data scientists, this role does not centre on: Building dashboards Producing insights ...

Extensive experience (10+ years) in senior technology leadership roles within digitally enabled, platform-driven, or media-led environments Hands-on experience with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

/CD and modern software delivery practices Cloud data platforms and relational databases knowledge Strong troubleshooting and communication skills Desirable: Experience with AI/LLM platforms, BI tools, and semantic data models Background in large-scale or regulated environments Please apply today to be considered McGregor Boyall is an equal ...

engineering, or data science Hands-on experience with Azure AI services, Microsoft 365 integration, and Power Platform Strong skills in Python, APIs, and modern LLM frameworks Experience building automation workflows or agentic AI systems Ability to take concepts from prototype to production-ready solutions Strong communication and problem-solving skills ...

with senior engineers, value streams, and product stakeholders. What you'll bring Expertise in Azure AI, AWS Bedrock or Google Vertex. Strong experience with LLM evaluation/MES frameworks. Deep knowledge of integration security, API design and cloud-native patterns. Experience delivering solutions in regulated environments (desirable). Naturally proactive ...

using C#, SQL, JavaScript, Python and related technologies Supporting reporting, data warehousing and analytics requirements Artificial Intelligence & Innovation Applying practical understanding of AI and LLM-based solutions to improve business processes Introducing AI-enabled capabilities within agreed governance and compliance frameworks Identifying opportunities where AI or automation can deliver measurable ...

backend systems and services Contribute to the development and evolution of a production-grade AI platform Build and integrate AI-powered features such as LLM-driven services, RAG pipelines, and agent-based workflows into core systems Apply modern software engineering best practices (clean code, testing, CI/CD, observability ...

Desired/Nice-to-Have: Semantic data modeling, analytics platforms, and BI tools (Tableau, Power BI). Exposure to Snowflake Cortex or GenAI/LLM tools in production. Agile delivery experience (sprints, backlog refinement) and knowledge of ITSM processes. Experience supporting AI-enabled or analytics-driven platforms at scale ...

Desired/Nice-to-Have: Semantic data modelling, analytics platforms, and BI tools (Tableau, Power BI). Exposure to Snowflake Cortex or GenAI/LLM tools in production. Agile delivery experience (sprints, backlog refinement) and knowledge of ITSM processes. Experience supporting AI-enabled or analytics-driven platforms at scale ...

Product & Technical programme Management (The Architects):- Drive the roadmap for GenAI integration within safety workflows.- Define the "Safety Standard" for AI responses and manage LLM-powered triaging.- Success Metric: Reduce "Safety False Negatives" and ensure smooth transitions from AI to human safety agents. 2. Data Science & Analytics (The Strategists):- Build ...