1 to 25 of 211 Permanent 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 ...

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 ...

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 ...

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 ...

Proven track record delivering integrations, automation, and custom solutions Experience working with enterprise applications (e.g. CRM, ERP, practice management systems) Exposure to AI/LLM tools and practical use cases Strong communication skills and ability to translate technical concepts Experience in professional services environments is a bonus Why Apply? High ...

fast-paced, iterative environment. Desirable Experience Exposure to Azure’s AI ecosystem (AI Foundry, AI Search, Cosmos DB, AKS). Experience integrating AI/LLM-based services into production systems. Familiarity with modern development tooling such as VS Code and AI-assisted coding tools. Why Apply? Work on a genuinely ...

documentation, training and adoption Communicate results to external stakeholders and leadership What will you need to be successful? Good knowledge of AI Agents and LLM based solutions Working knowledge of coding languages such as Python Demonstrated experience with low-code no-code platforms, preferably within Copilot Studio Proven experience with ...

with existing digital platforms and align with wider delivery roadmaps. Essential Skills & Experience: Commercial experience with AI/ML technology: * OCR, Object Detection and LLM analysis implementation * Machine Learning & AI Libraries including: * Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference * PyTorch for deep learning ...

with existing digital platforms and align with wider delivery roadmaps. Essential Skills & Experience: Commercial experience with AI/ML technology: * OCR, Object Detection and LLM analysis implementation * Machine Learning & AI Libraries including: * Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference * PyTorch for deep learning ...

enabled solutions are delivered. Key Responsibilities Build and deploy AI-integrated full-stack applications. Incorporate cloud AI services into production systems. Develop LLM-powered features and autonomous workflows. Translate stakeholder requirements into working software. Support prototyping, research, and early-stage solution design. Contribute to internal AI tools, reusable components ...