201 to 225 of 714 LLM Jobs in the UK excluding London

MIAME, etc.) Track record scaling data governance or data stewardship programs across multiple labs, studies, or organizations Familiarity with agentic AI, machine learning, or LLM-driven automation in data/science workflows Familiarity with biomarker platform companies (e.g., Guardant Health, Foundation Medicine, Tempus) or research consortia (e.g., NCI's SEQC ...

controls across cloud environments, APIs, CI/CD pipelines, identity services and data platforms. Working knowledge of relevant guidance, such as OWASP guidance for LLM and agentic applications, MITRE ATLAS and cloud-provider AI security guidance. Ability to participate in incident response and product security operations as required. Relevant security ...

outcome, that's a flag you do both instinctively. Hands-on AI agent and prompt engineering experience: Your experience of designing and deploying production LLM solutions goes beyond side projects. You can point to concrete outputs agents that shipped, workflows that changed, problems that got solved. Business analysis instincts: Before ...

this role. JOB DESCRIPTION Help shape how AI systems run reliably in production at scale. In this role, you'll build and operate large language model serving infrastructure, bringing strong engineering fundamentals and site reliability practices to cutting-edge AI platforms. You'll work hands-on with cloud and Kubernetes … that modernizes traditional infrastructure management and site reliability engineering through applied AI. You will own the reliability, performance, and cost-efficiency of the large language model inference platform end to end. You will operate large language model serving stacks in production at scale, with deep instrumentation and strong operational rigor. ...

this role. JOB DESCRIPTION Help shape how AI systems run reliably in production at scale. In this role, you'll build and operate large language model serving infrastructure, bringing strong engineering fundamentals and site reliability practices to cutting-edge AI platforms. You'll work hands-on with cloud and Kubernetes … that modernizes traditional infrastructure management and site reliability engineering through applied AI. You will own the reliability, performance, and cost-efficiency of the large language model inference platform end to end. You will operate large language model serving stacks in production at scale, with deep instrumentation and strong operational rigor. ...

date on market trends, new opportunities, and the changing landscape of AI technologies. Requirements **Experience** **AI Orchestration & Development:** Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. **Artificial Intelligence & Machine Learning:** Deep practical understanding of machine learning algorithms, natural …/HND courses will also be accepted. Core Competencies Demonstrates expertise in AI Orchestration and Development, with a strong focus on building complex LLM-powered systems and multi‐agent workflows. Proficient in Cloud Computing and Data Engineering, particularly with Google Cloud Platform services, while also showcasing leadership in team mentorship ...

founding contributor to the Context Plane - a greenfield platform that connects the firm's data mesh and knowledge sources to AI agents and large language model tools. You will own components end-to-end, from ingestion pipelines to governed retrieval services, and your engineering instincts will directly influence … shared core library, reducing duplication across the platform's repositories Integrate with data sources and services across the firm, including enterprise AI and large language model gateways Own quality across your components: automated testing, code reviews, observability, and resilient, secure service design Partner with Corporate Technology AI, product, and data ...

frameworks such as **Next.js** or **Vite**.* **GenAI Frameworks**: Familiarity with tools like **LangChain**, **LangGraph**, **CrewAI**, or **Vercel AI** (in Python or JavaScript).* **LLM experience**: Practical experience with **Large Language Models** (LLMs) such as **OpenAI**, **Anthropic**, **Mistral**, or **Llama**, and tools like **Ollama**.* **Cloud Platforms**: Proficiency … Hands-on experience with **Docker**, **Kubernetes**, and **Docker Compose**.* **Infrastructure as Code (IaC)**: Exposure to tools like **Terraform**.* **Monitoring Tools**: Familiarity with LLM monitoring tools like **Langsmith**, **Langfuse**, or similar.* **CI/CD**: Experience with continuous integration and deployment tools such as **GitLab**, **GitHub**, or **Jenkins**.## **Database ...

frameworks such as **Next.js** or **Vite**.* **GenAI Frameworks**: Familiarity with tools like **LangChain**, **LangGraph**, **CrewAI**, or **Vercel AI** (in Python or JavaScript).* **LLM experience**: Practical experience with **Large Language Models** (LLMs) such as **OpenAI**, **Anthropic**, **Mistral**, or **Llama**, and tools like **Ollama**.* **Cloud Platforms**: Proficiency … Hands-on experience with **Docker**, **Kubernetes**, and **Docker Compose**.* **Infrastructure as Code (IaC)**: Exposure to tools like **Terraform**.* **Monitoring Tools**: Familiarity with LLM monitoring tools like **Langsmith**, **Langfuse**, or similar.* **CI/CD**: Experience with continuous integration and deployment tools such as **GitLab**, **GitHub**, or **Jenkins**.## **Database ...

AI Engineer– Agentic AI About the Role Location: Burgess Hill, UK Employment Type: Full-time As an AI Engineer– Agentic AI, you will be a hands-on builder contributing to the development of production agentic ...

Responsibilities Lead the implementation of AI-enabled applications and platform capabilities. Establish reusable patterns, frameworks, and best practices for AI engineering. Design and oversee LLM, RAG, and Agentic AI integrations within enterprise environments. Collaborate with architects and engineering teams to ensure scalable, secure, and maintainable solutions. Define standards … cloud‐native applications on Azure, AWS, or GCP. Strong knowledge of Kubernetes, Microservices, APIs, Event‐Driven Architecture, and DevOps practices. Hands‐on experience with LLM integration, RAG architectures, AI orchestration frameworks, and Agentic AI solutions. Experience with AI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI ...

Agentic AI Software Engineer London (Hybrid Working) 12 Month Contract Inside IR35 Our client, a leading pharmaceutical organisation is looking for an experienced Agentic AI Software Engineer to join a team developing next generation AI ...

AI Solution Architects & Technical AI Leaders Manchester | Hybrid AI Solution Architect- Financial Services (Hybrid) Join a leading consulting and technology firm shaping enterprise AI and GenAI strategy for major banking clients - moving AI beyond proof ...

Help shape how AI systems run reliably in production at scale. In this role, you’ll build and operate large language model serving infrastructure, bringing strong engineering fundamentals and site reliability practices to cutting-edge AI platforms. You’ll work hands-on with cloud and Kubernetes-based deployments, deep observability … that modernizes traditional infrastructure management and site reliability engineering through applied AI. You will own the reliability, performance, and cost-efficiency of the large language model inference platform end to end. You will operate large language model serving stacks in production at scale, with deep instrumentation and strong operational rigor. ...

experimentation through to scalable deployment, with a strong emphasis on technical depth and rigour. What You’ll Do Design and implement end‐to‐end LLM training pipelines Source and, where appropriate, preprocess datasets for training and evaluation Fine‐tune and optimise open weight models (LLMs, vision or traditional ML) Build ...

end. The role will focus primarily on model development, data pipelines and system performance. What You'll Do • Design and implement end-to-end LLM training pipelines • Source and, where appropriate, preprocess datasets for training and evaluation • Fine-tune and optimise open weight models (LLMs, vision or traditional ML) • Build ...

AXA is seeking a Principal AI Engineer to lead the development of innovative AI solutions and strategic engineering across the company. You will drive the vision for full-stack engineering within AI and AIOps, shaping ...

AXA is seeking a Principal AI Engineer to lead the development of innovative AI solutions and strategic engineering across the company. You will drive the vision for full-stack engineering within AI and AIOps, shaping ...

particular) Practical experience with model deployment workflows - loading, format conversion, quantisation, or framework integration Comfortable working with inference serving stacks (for example vLLM, TensorRT‐LLM, or similar) Familiarity with Linux, containerisation (Docker), and cluster environments Comfortable in a customer‐facing role, able to communicate clearly with ML and infrastructure engineering ...

integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech. Job responsibilities Leads applied research into open-source LLM evaluation and deployment for cost, sovereignty, and data-residency optionality Runs fine-tuning work for tone, lexicon, and domain-specific tasks that are currently brittle ...

Candidate profile: - Consulting background with demonstrable delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong stakeholder ...

Candidate profile: - Consulting background with demonstrable delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong stakeholder ...

Candidate profile: - Consulting background with demonstrable delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong stakeholder ...

Candidate profile: - Consulting background with demonstrable delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong stakeholder ...

Looker, or Tableau beneficial. Strong experience working with APIs, data integration, and automated data workflows , ideally involving external data sources. Exposure to AI and LLM-powered tools for data enrichment, entity matching, validation, and insight generation. Experience working with data quality frameworks , enrichment processes, and structured validation approaches. Strong stakeholder ...