301 to 325 of 2,436 LLM Jobs in England

also valued Demonstrated experience delivering AI, machine learning, or generative AI solutions in real-world settings Strong understanding of modern AI tooling, including LLM application patterns, orchestration frameworks, automation platforms, evaluation approaches, and model limitations Ability to balance experimentation with sound engineering discipline, including security, reliability, and maintainability Strong communication ...

design decisions across teams. Pragmatism under real‐world constraints, choosing achievable solutions over theoretical perfection. Highly desirable: hands‐on exposure to AI‐assisted engineering (LLM APIs, agentic coding tools, prompt‐driven workflows), experience taking early‐stage products from PoC/MVP to production, AWS experience, domain experience ...

observability. Partner with Product, Architecture, and ML Research teams to prioritise and scope work. Foster a culture of modern AI development practices, including LLM tooling, MLOps, and automation. Set and enforce DevOps and SecOps standards across the team's services and pipelines. Coordinate cross‐team dependencies and contribute to roadmap ...

large-scale, complex, or regulated environments* Knowledge of vector databases and RAG architectures for building internal SRE knowledge assistants.* Knowledge of Generative AI and LLM platforms (e.g., Claude, Amazon Bedrock)**Person Specification*** Strong **technical authority** with the ability to influence design and operational decisions* Highly collaborative, comfortable working across architecture ...

Data Platform. We own the AI features that shape how buyers and sellers experience the marketplace, from agentic workflows in the customer journey to LLM-powered tooling for our dealer network. What we build goes into the hands of real sellers and thousands of verified dealers, usually within weeks. When ...

development of other engineers through coaching, mentoring and role modelling. Desirable skills We are looking for people with skills matching the teams focus on LLM-based AI. Experience in some or all of the following areas would be an advantage: Cloud infrastructure (especially AWS), infrastructure as code, and service management ...

problems and create lasting value. Essential skills What are we looking for? You will lead the design, development and deployment of AI solutions, including LLM-based agents, automation and decision-support tools, helping clients achieve measurable outcomes while ensuring solutions can be operated safely and effectively in enterprise environments. Potential ...

trying to understand: "what happens under the hood?" and “why is this done that way?” Technical Mastery: Strong grasp of API based systems integration, LLM-based systems design including prompt engineering, context engineering, and data modeling. Product Excellence Obsession: You have product taste/judgement and are obsessed with building ...

/SHARP, RDMA/NUMA, or GPU interconnect topologies). Active open-source or production contributions to modern inference frameworks (e.g., vLLM, Triton, TensorRT-LLM, Ray Serve, or TorchServe). Experience leading multi-team technical initiatives or partnering directly with enterprise customers on mission-critical platform launches. Wondering ...

focus on self-service; Nice to have: Experience with machine learning or statistical modelling in a production context, exposure to AI product development, LLM tooling, or data applications, experience with data quality frameworks, semantic layers, or data observability tooling, prior experience working with HR, people, or workforce data. Условия: Three ...

diligence Candidate profile: Has owned architecture for a multi-tenant enterprise platform 5+ years leading engineering teams, including across multiple locations Experience building production LLM or agentic AI systems Track record of raising engineering standards and driving adoption Background in financial services or another regulated industry a plus. Oscar Associates ...

self‐direction and clear async communication skills, with experience thriving in distributed team environments. Familiarity with hosting, serving, or orchestrating agentic AI systems and LLM workflows. Nice-to-Have Experience building and scaling modern data pipelines or stream-processing architectures. Experience working with early‐stage technical companies Working Hours & Overlap ...

Strong investment in the best talent at the intersection of technology and finance [Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlowProven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AIExtensive ...

Engineer. The client is looking for evidence that youve started exploring how AI can improve the way you engineer perhaps using Copilot or another LLM to validate code, support debugging, improve documentation or accelerate parts of development. The business is investing in AI, including Azure AI Foundry, so youll gain ...

including Azure AI Foundry. This isnt an AI Engineering position and you dont need deep Machine Learning experience. Practical use of Copilot or another LLM as part of your engineering work would be useful, whether thats development, debugging, code validation or documentation. Youll have the opportunity to develop that experience ...

Foundry, and wants its engineers to become increasingly comfortable using AI as part of their work. That might mean using Copilot or another LLM for code validation, debugging, documentation or other practical development tasks. If youve done more than that, useful, but it isnt a requirement. Youll have the opportunity ...

Experience mentoring others and the communication skills to explain complex trade-offs to non-technical stakeholders. Bonus points: differential privacy or secure computation experience, LLM/agentic AI/frontier AI evaluation work, published research, or experience in regulated industries (insurance, financial services, public sector). Why join us Real ...

work across the full lifecycle, from experimentation through to integration and operationalisation, and to mentor others along the way. Bonus points: generative AI/LLM application experience, privacy-preserving or compliance-sensitive systems work, multi-partner programme experience, or a background in regulated industries. You'll be the person turning ...

React on the frontend. Solid understanding of backend architecture: API design, service patterns, and database modelling with PostgreSQL. Experience building or working closely with LLM‐powered or agentic systems using Python. Prompt engineering, tool use, RAG, agent orchestration frameworks, or similar. Proficiency with AI‐assisted development tools (e.g. GitHub Copilot ...

mentoring others in writing code that is intuitive, clear, and easy to test Developing observability for new and existing ML applications and GenAI/LLM integrations , making use of the Grafana Stack (Prometheus, Loki, Tempo) Develop integrations and services that communicate with Google Services. Working closely with Data Scientists ...

techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help ...

techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help ...

process intelligence. Experience with enterprise platforms such as Salesforce, SAP or ServiceNow. Exposure to AI‐enabled applications, workflow automation or data products supporting LLM‐based solutions. Experience with CI/CD, Git, automated testing, observability or visualisation tools such as Databricks SQL, Tableau or Power BI. In Return You will ...

phrase "in practice" exactly once. Bonus points Previously founded a company. Startup experience. Design tooling literacy (Figma), or a design background. Experience with LLM‐backed product features: RAG, embeddings, evaluation. Go, or a willingness to learn it. It's what most of our backend is written in. Data or analytics ...

services and data. Design clean, minimal user experiences with close attention to detail, working alongside design and product. Explore and apply agentic AI and LLM capabilities where they meaningfully improve the product and work safely and efficiently with agentic engineering systems. Contribute to technical discussion and help refine requirements rather ...