351 to 375 of 714 LLM Jobs in the UK excluding London

AI Engineer (.Net/AI) Location: Chester | Hybrid Working Permanent – Full-time Salary: £50,000–£60,000 We're working with a leading UK organisation that is continuing to invest in its internal AI capability ...

This job is with Kantar, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. We go beyond the obvious, using ...

## Senior Analyst Business Intelligence — 3PL Services Warehouse OperationsApplylocations: London, United Kingdom: Woking, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R2611236Our team members are at the heart of everything we do. At ...

We recognise our people are the best thing about Red Badger and that a truly diverse workplace where people are free to be themselves is essential for great culture and great outcomes. If you like ...

reference architectures, improving cross-team consistency and delivery quality to enable more reliable and scalable product development Establish end-to-end technical architectures for LLM-enabled systems, covering data pipelines, retrieval/RAG, prompt orchestration and agent workflows to support robust and effective AI implementation Analyse complex constraints across product … experience building and operating solutions on AWS, including AWS AI services and the supporting platform services required for production delivery AI engineering experience delivering LLM-enabled systems using LLM APIs/Bedrock, including RAG architectures, vector databases and orchestration frameworks DevOps skills including CI/CD pipelines, containerisation and monitoring ...

example, Tue-Sat or Sun-Thu) when needed to ensure global coverageYour qualificationsEarly-career professional with proven commercial experience in: Troubleshooting Large Language Model (LLM) and Retrieval-Augmented Generation (RAG) applicationsRobust prompt and context engineeringData analysis (Excel, Anaplan or similar tools)Software development or quality assuranceLevel 2 or level ...

fast‐growing AI team. This role offers a competitive salary and benefits on site at their Cambridge base. You will design end‐to‐end LLM training pipelines, preprocess datasets, fine‐tune open models and build evaluation frameworks across the full AI lifecycle, with emphasis on depth and rigour. #J ...

building, agent workflows and orchestration, agent hosting and sandboxing, guardrails, evals, RAG and context engineering, and tokenomics (cost, latency, model selection). Production-grade LLM system experience is the core requirement. You will work on three types of project: Departmental engagements. Embed with departments to AI-enable tasks and processes … more sophisticated way than "just ask Claude" - for example, Python pipelines where one step is an LLM API call - delivering real incremental value with each engagement and transforming working patterns into load-bearing, AI-enabled business processes. Customer-facing AI deployment. Deploy and integrate AI components built ...

communication skills A collaborative approach and willingness to share knowledge Flexibility to travel to UK client locations when needed Experience testing AI or large language model systems would be useful, but it isn't essential. If you're looking for varied technical work, interesting client challenges and the opportunity ...

/GEO and automation. Key Responsibilities Own SEO strategy and day-to-day delivery Create, edit and optimise high-quality content Develop AI/LLM search and AEO/GEO strategies Build content and SEO automations using tools such as n8n, Make or Zapier Analyse performance using tools such ...

technology partners. Exposure to other marketing automation platforms such as Marketo or Braze, work-management platforms such as Monday.com or Asana, and AI/LLM marketing concepts would also be useful, but isn't essential. Benefits Competitive base salary with uncapped commission 25 days holiday plus bank holidays Hybrid ...

Finance AI platform. This hands-on leadership role focuses on scalable engineering patterns, accelerating delivery, and mentoring development teams. You will design and oversee LLM, RAG, and Agentic AI integrations across Azure, AWS, and GCP, collaborate with architects to ensure secure, maintainable solutions, and set standards for observability, governance ...

step workflows using loops, branching, routing, tool use, state management, retries and human-in-the-loop controls. Evaluation: Using regression sweeps, canary testing and LLM-as-judge scoring to determine what is ready to ship. ML infrastructure: Building versioned training pipelines, model registries, scheduled jobs and deployments using Azure ML. … experience designing, building and optimising agentic systems, particularly graph-based and iterative workflows involving loops, branching, routing, tool use and state management. Experience evaluating LLM applications using approaches such as gold datasets, regression testing, LLM-as-judge scoring and canary testing. Experience with cloud ML platforms—ideally Azure ML, Functions ...

provide an adventure where you can push the limits of what's possible. As a Software Engineer III at JPMorganChase within the Firmwide LLM Serving Platform team, you are an integral part of an agile team that designs, builds, and operates the services that make large language models usable … optimize performance pushing down latency, increasing throughput, maximizing GPU utilization, and eliminating waste across the request lifecycle. Job responsibilities Build core backend services for LLM inference, including request routing, batching, scheduling, streaming responses, and quota/limits. Implement and maintain APIs and SDKs used by product and application teams across ...

office Extensive experience designing, developing, and supporting applications in a microservices cloud environment. Personal interest in AI agents — you tinker with agent frameworks or LLM SDKs (LangGraph, OpenAI/Anthropic Agents SDK, MCP, LangChain, or similar) and keep up with the field. Prior experience taking agentic or LLM‐based systems ...

office Proven experience designing, developing, and supporting applications in a microservices cloud environment. Personal interest in AI agents — you tinker with agent frameworks or LLM SDKs (LangGraph, OpenAI/Anthropic Agents SDK, MCP, LangChain, or similar) and keep up with the field. Experience contributing to agentic or LLM-based systems ...

work across three core areas of the AI platform: Inference control: Developing the gateway and routing layer connecting engineering teams to multiple LLM providers, including resilient failover and load-shedding capabilities. Orchestration and capability lifecycle: Building tools that allow teams to register, discover, manage and reuse AI capabilities and agents. … important role in designing, building and delivering the AI platform by: Building and evolving the API gateway and routing layer connecting teams to multiple LLM providers. Developing failover, load-shedding and resilience capabilities for periods of provider degradation. Designing orchestration, registration and discovery tooling for reusable AI capabilities. Establishing ...

from requirements clarification and design through implementation, testing, deployment, and production support. You will develop backend services in Python, build APIs and microservices, implement LLM-based solutions including agentic workflows, and deliver into a multi-cloud environment using Terraform, Kubernetes, and CI/CD pipelines. This role offers … release, and production support Write maintainable Python code with unit and integration tests, debugging issues across application, API, data-access, and runtime layers Implement LLM-driven workflows including prompting, tool and function calling, routing, orchestration, and state handling to support multi-step agentic task execution Build and maintain inference-time ...

About Freshfields Freshfields is a global law firm with a long history of helping clients navigate complex challenges. As technology continues to reshape the legal industry, we are investing significantly in innovation, engineering excellence and ...

orchestration. Define and oversee SOAR playbook automation builds, documentation, and execution Define the AI augmentation incident response strategy for security operations: agentic AI workflows, LLM-assisted triage, prompt libraries, notebook-based investigation, and human-in-the-loop autonomous response patterns. Establish governance, guardrails, and auditability for AI-assisted … workflows for triage, enrichment, scoping, or response.o Prompt engineering and maintained prompt book libraries for analyst use.o Jupyter notebook-driven investigation and DFIR workflows.o LLM integration into SOAR, case management, or analyst tooling. Demonstrated track record shipping AI-augmented incident response capabilities in a large enterprise. Working knowledge ...

Job Description This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In ...

Job description Marketing is increasingly shaped by data, AI, and automation - and practitioners who understand all three are rare. As a Senior Consultant specialising in Agentic Marketing Data & Analytics, you will work at the intersection ...

Job description Marketing is increasingly shaped by data, AI, and automation - and practitioners who understand all three are rare. As a Senior Consultant specialising in Agentic Marketing Data & Analytics, you will work at the intersection ...

Job Title: Senior Backend Engineer Salary: Up to £145,000 base + equity Location: Central London Work Type: Hybrid, 3 to 4 days per week onsite Role: WeDo is partnering with a high growth AI ...

Senior Python Engineer – AI & Microservices £450 PD (Outside IR35) | 3-to-6-month Contract | 2 days onsite in London (Hybrid) | ASAP Start Our trusted technology partner is developing innovative products and is looking for an ...