326 to 350 of 1,185 LLM Jobs in England

This is your opportunity to join AXIS Capital - a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for ...

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 ...

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 ...

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 ...

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 ...

Capital Group is seeking a Senior Software Engineer to design, build, and operate production AI applications that power investment workflows. You will lead end-to-end RAG pipelines, embedding, vector storage, and prompt management, while ...

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 ...

secure model deployment Define MLOps Architecture Define and document MLOps architecture using learnings from the Model Serving PoC and drive approvals for standardization Enable LLM Strategic Capabilities Assess different capabilities for LLM Azure AI foundry Bedrock and Databricks and take design decisions for approval Work with security Data protection office … other architecture teams to align them with the decision and secure approvals for roll out Document the low level design for LLM roll out to different use case Evolve Platform Capabilities Drive incremental platform capabilities Responsible AI GenAI Data Governance etc aligned with the approved L2 architecture ...

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. ...

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 ...

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 ...

practitioner, not just from a slide deck. Demonstrable ability to lead enterprise architecture conversations, whiteboard solution designs, and scope POCs involving RPA, AI Agents, LLM integration, and enterprise platform integrations (SAP, Salesforce, ServiceNow). Working knowledge of agentic process automation concepts - agent orchestration, human-in-the-loop workflows, document intelligence ...

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 ...

M365 Copilot Teams, SharePoint-related infrastructure Knowledge of Azure AI Foundry and Microsoft 365 SDK Knowledge of Model Context Protocol, Agent to Agent and LLM selection an advantage Software Development Experience, including proficiency in one or more of the following: Python, JavaScript, JSON, React and related scripting, .NET technologies (C# ...

strategy AI platform engineering and infrastructure AI governance, risk and regulatory frameworks Financial services AI use cases (fraud, risk, trading, automation) Generative AI and LLM deployment within large organisations Building and scaling high‐performing AI teams If you are currently leading AI initiatives, building AI platforms, or working on responsible ...

questionnaire responses, failure mode documentation) and they need to be clear and precise. Strong nice‐to‐haves Experience with AI/ML systems security, LLM security, or AI control research. The field is young enough that deep experience here is rare, but any exposure significantly reduces ramp‐up time. Detection ...

with Automation Tools such as Alteryx, UI Path to introduce efficiency and scale to the Reconciliations Processes Experience with AI/LM tools and LLM use cases to streamline STP for Reconciliations Significant experience or equivalent expertise delivering products, projects, or technology applications Extensive experience leading operational management and change ...

wait to be told Nice to have Real design chops - you can make something look and feel right, not just function Experience folding LLM features into a product (agents, AI-fill, that class of work) B2B SaaS, GRC, security, or another domain where the user is a professional with zero ...

collaborating with others. What We Are Looking For Deep expertise in one applied ML, statistics or data science speciality. Examples could be risk modelling, LLM detection, or reinforcement learning – any area of genuine depth counts. Judgement about when to reach for simple statistics, classical ML, LLMs, or agentic approaches. 3+ ...

range of technical and non‐technical personas, with a track record of driving sustained adoption and engagement. Proven record of shipping AI‐ or LLM‐powered analytics experiences (such as conversational analytics, AI‐assisted query and insight generation, or decision‐support tools) with attention to trustworthy AI principles including safety, bias ...

barrier: Daily, sophisticated use of AI coding tools (Claude Code, Devin, Cursor/Windsurf, Copilot) with informed views on where each earns its keep. LLM application engineering — agent orchestration, RAG, structured outputs, evals. Prior consultancy or client-facing delivery experience. Cloud and data infrastructure depth (GCP/AWS, Terraform ...