401 to 425 of 1,483 LLM Jobs in England

AI Solution Architects & Technical AI Leaders London | Hybrid We're supporting a major consulting and technology organisation delivering enterprise AI and data transformation programmes across Financial Services The focus is designing scalable AI architectures that ...

utilities, or the public sector – that transfers well to this problem space. General familiarity with neural network architectures and NLP/large language model (LLM) tooling, sufficient to pick up key aspects of a teammate's deep‐learning codebase with relative ease and do basic fault‐finding when needed – this ...

hands-on AI engineer with 3-5+ years of experience building production-grade multimodal AI systems and LLM applications. Your responsibilities mirror those of a hands-on AI startup CTO you work in small teams to own delivery of high-stakes customer projects, embedding directly at client sites … makes agents perform well in production and how to systematically improve quality through observability and evaluation. Experience with voice AI platforms, RAG systems, and LLM orchestration frameworks is highly desirable. You bring exceptional communication skills, customer empathy, and the drive to build AI solutions that transform enterprise operations globally. What ...

Cerebras is seeking a Staff Software Engineer (AI) in Greater London to design and build production-grade agentic AI systems. The role involves collaborating with cross-functional teams and requires strong expertise in Python and ...

Genixbit in London is seeking an AI Engineer to fine-tune open-source models for domain tasks, improve deployment pipelines, and develop context management and semantic search solutions. The role requires hands-on experience with ...

Databricks is seeking a Senior Solutions Architect to drive pre-sales engagements in DS/ML/GenAI across the UK&I. Based in London, you will shape customer engagements, coach teams, and influence stakeholders ...

Brown & Brown, Inc. is hiring an AI Engineer to design, build, and deploy Generative AI and AI-driven applications on Google Cloud Platform. The role focuses on delivered solutions for regulated insurance with RAG, vector ...

United States Digital Space LLC in the United Kingdom seeks an Applied AI ML Lead to shape the future of intelligent systems. You will design and deliver production-grade AI/ML solutions while owning ...

A financial services company in Greater London is seeking a Senior AI Engineer to design and deliver AI systems integral to their business processes. This hands-on role involves building production-grade solutions utilizing LLMs ...

Quantiphi Limited is seeking an experienced MLOps Architect to drive end-to-end MLOps strategy across enterprise AI/ML programs. The role requires hands-on technical depth, cloud-native design, and the ability to ...

Harrington Starr is seeking a Full Stack Engineer to join an AI-first technology company based in NYC. You will take ownership across the full stack, developing scalable backend services using Node.js and TypeScript, and ...

J.P. Morgan is seeking a Software Engineer III to join the Firmwide LLM Serving Platform team. You will design, build, and operate services that make large language models usable at scale, focusing on infrastructure and ML collaboration. We value a hands-on mindset, latency optimization, and strong collaboration across product ...

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 ...

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 Leverage tools like GitHub Copilot, Claude Code, Cursor, or similar AI-assisted engineering workflows. ...

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 ...

Ability to clearly explain model performance, evaluation methodology, and known failure modes. Experience designing and maintaining evaluation frameworks for machine learning models. Experience building LLM-powered workflows with genuine evaluation and monitoring processes is highly desirable. Comfortable working autonomously in a fast-paced environment with a high degree of ownership. ...

Enablement Specialist Location : London (Hybrid) Salary : £130,000 P/A + Comps Skills : Python (Programming Language), Computer Science, Software Development, Large Language Models (LLM) The role We're partnering with a highly successful, technology‐led Fintech organisation that is embracing AI as a key driver of future growth ...

engineering or applied AI teams, in consulting, a product company, an AI lab, or a venture environment Hands‐on credibility with modern AI engineering: LLM fine‐tuning, RAG, agentic workflows, evaluation frameworks, and MLOps. Engineers must respect your technical judgement. Direct experience deploying small or domain‐adapted models in enterprise ...

Operational experience with our key infrastructure components: Kafka, MongoDB, PostgreSQL, Elasticsearch, and Istio Familiarity with LLMOps is a plus; helping shape how we operate LLM-powered systems at scale (model gateways and routing with LiteLLM, experiment and model tracking with MLflow) would be a welcome bonus A FinOps mindset ...

ecosystem, including Copilot, Copilot Studio, AI Builder, and Azure AI Experience working with Large Language Models and modern AI architectures, including designing and deploying LLM-based solutions such as copilots, chatbots, and knowledge assistants Understanding of prompt engineering, grounding, and retrieval-augmented generation (RAG) Ability to apply governance, security ...

evaluate trade‐offs and prioritize effectively Experience working closely with Engineering and Data teams to deliver production solutions Familiarity with modern AI tools (e.g., LLM‐based solutions, workflow automation, data platforms) Excellent communication and stakeholder management skills ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas ...

knowledge of artificial intelligence assurance principles and a passion for developing assurance capability in this rapidly evolving field, with experience with AI or large language model evaluation, including red teaming or testing agent-based systems. Qualifications for the Lead Digital Assurance Engineer: Essential: Degree or equivalent professional experience in Systems ...

knowledge of artificial intelligence assurance principles and a passion for developing assurance capability in this rapidly evolving field, with experience with AI or large language model evaluation, including red teaming or testing agent-based systems. Qualifications for the Lead Digital Assurance Engineer: Degree or equivalent professional experience in Systems Engineering ...