176 to 200 of 714 LLM Jobs in the UK excluding London

across industries, building production-grade software that connects to and supports agentic AI systems — understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This is not a stepping-stone role: it is a core engineering function in the most in-demand part … Responsibilities Use AI coding assistants daily as a standard part of delivery, actively, frequently, and with demonstrable impact on productivity and output quality Integrate LLM APIs into applications in production: calling AI provider APIs in live code, managing token limits and latency, and building initial abstraction layers Apply AI across ...

pipelines and DevOps best practices. Collaborate with architects, product teams, and engineers to deliver high-quality solutions. Contribute to AI-enabled application development, including LLM and RAG integrations where applicable. Required Skills 10+ years of software engineering experience. Strong hands-on expertise in Java and/or Python. Kubernetes, Docker … Microservices, and REST APIs. CI/CD, DevOps, and Agile delivery practices. Preferred Skills Experience with LLM integration, RAG, AI orchestration, or Agentic AI frameworks. Exposure to AI platforms such as Azure OpenAI, OpenAI, LangChain, LangGraph, or Semantic Kernel. Candidate Profile Strong engineering and problem-solving skills. Product engineering mindset ...

We're supporting a leading technology consultancy that is expanding its AI practice and is looking for a Senior AI Engineering Consultant to help deliver innovative AI-powered solutions for enterprise clients. This is an ...

We're supporting a leading technology consultancy that is expanding its AI practice and is looking for a Senior AI Engineering Consultant to help deliver innovative AI-powered solutions for enterprise clients. This is an ...

Lead Forward Deployed Engineer AI/Product/Consulting Location: Hybrid Job Type: Full-time Level: Lead/Principal Individual Contributor The Opportunity We're working with an innovative, global digital health technology business that ...

Lead Forward Deployed Engineer AI/Product/Consulting Location: Hybrid Job Type: Full-time Level: Lead/Principal Individual Contributor The Opportunity We're working with an innovative, global digital health technology business that ...

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. ...

week onsite in Hungerford, 2 from home True full stack, React front end through C# and .NET APIs to SQL Server and Postgres Real LLM integration work, models built into a shipping product rather than AI used to write code Local and self hosted models, guardrails and model security ...

changing environment. Design and implement sophisticated agentic systems and multi-step AI prompts to solve complex, open-ended scientific tasks using the latest LLM reasoning advancements. Establish frameworks and metrics to measure model performance, driving continuous quality improvements and model fine-tuning for specific scientific use cases. Work closely with ...

front office, Credit Risk Business. The candidate will be a core member of the technology team responsible implementing projects based on Python, FastAPI, MCP, LLM, Java and using latest technologies. Excellent opportunity to immerse in and learn within the Wholesale Credit Risk Division and gain exposure to business and technology ...

technical challenges Apply clean code, automated testing, CI/CD, observability and other modern engineering principles Build and integrate AI-enabled features, including LLM-powered services, RAG and agent-based workflows where appropriate Use AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor or similar to improve engineering ...

programming skills and proficiency in deep learning frameworks such as PyTorch, with openness to learning new tools and technologies. Practical experience across ML and LLM software stack, including feature engineering, model development, deployment, and validation. Prior experience working with omics data and familiarity with oncology drug development. Excellent communication skills ...

9NET CoreAzureAzure OpenAIOpenAI APIsSemantic KernelVector DatabasesSQL ServerREST APIsMicroservicesDockerWhat we're looking forStrong commercial experience developing backend applications in C# and .NET.Experience integrating AI or LLM technologies into production software. Understanding of RAG, embeddings, prompt engineering and vector search. Experience building scalable cloud-based applications using Azure. A genuine interest ...

teams. Degree in Computer Science or a related field, or equivalent professional experience. Even better... Hands-on experience with Go services, GraphQL APIs, or LLM infrastructure in production environments. Past experience at an early-stage company where you built deployment operations, playbooks, and tooling. Familiarity with observability and incident management ...

integrate and operationalise agentic AI systems in production across cloud, on‐prem, hybrid and restricted environments. You will design production architectures for agentic AI, LLM and vision‐language apps. The role requires strong Python, API development, Docker, cloud deployments, and secure, observable production systems. You will build connectors, CI/ ...

management. Nice to have Infrastructure as code (CDK in TypeScript, or Terraform). React/TypeScript, or comfort in a polyglot repo. LLM or MCP integration and AI-facing tooling. Financial-data or regulated-environment background. Experience we’re looking for We care more about what you’ve owned than ...

Engineering, Solutions Engineering, Forward Deployed Engineering or technical consulting backgrounds. You'll ideally bring strong experience across several of the following: AI/LLM solution architecture Agentic AI systems RAG and retrieval architectures Model APIs and orchestration frameworks Microsoft Copilot Studio Power Platform/Power Automate/Dataverse Azure ...

teams. Degree in Computer Science or a related field, or equivalent professional experience. Even better... Hands-on experience with Go services, GraphQL APIs, or LLM infrastructure in production environments. Past experience at an early-stage company where you built deployment operations, playbooks, and tooling. Familiarity with observability and incident management ...

margin bridge, discount structures), product/catalogue optimisation, or digital marketing performance. Experience building reusable data assets (datasets, KPI libraries, templates).OptionalPractical AI/LLM skills to accelerate analysis (with strong validation discipline).Familiarity with modern data practices (data pipelines, incremental refresh, version control)Qualifications: Bachelor's degree in Data ...

Yadimen Consulting Limited is seeking a skilled AI Engineer to design, develop, and maintain Copilot agents, plugins, and LLM workflows. You will build scalable components, integrate with enterprise systems, and implement secure AI practices within a modern cloud-native stack. The role focuses on RAG architectures, vector databases, embeddings ...

well-tested, documented code and support technical handover. Key Requirement: Strong production Python experience, hands-on LlamaIndex and proven experience delivering production RAG/LLM applications. Apply now to speak with VIQU IT in confidence. Or reach out to Phoebe Thompson via the VIQU IT website. Do you know someone ...

clear, data-driven recommendations to senior stakeholders. Requirements • 6+ years' experience in Data Science/Decision Science • Strong SQL and Python. • Experience with practical LLM/AI applications. • Strong experimentation and A/B testing experience. • Excellent stakeholder management and commercial thinking. • Experience working closely with Product and Engineering teams. ...

Developing bespoke solutions using C#, SQL, JavaScript, Python and related technologies Supporting reporting, data warehousing and analytics requirements Applying practical understanding of AI and LLM-based solutions to improve business processes Introducing AI-enabled capabilities within agreed governance and compliance frameworks Identifying opportunities where AI or automation can deliver measurable ...

teams to enable delivery outcomes. Monitor, report, and manage defects through triage, re-test, closure, and results sign-off/readiness validation. Generated with LLM Suite Required qualifications, capabilities, and skills Bachelor's degree with relevant experience, or equivalent practical expertise. Hands-on experience troubleshooting, resolving, and maintaining automated test ...

code with confidence. Hands-on experience building agentic systems using frameworks such as LangGraph, Microsoft Agentic Framework, or MCP, with a solid understanding of LLM capabilities and risks. Experience designing and running experiments to validate ideas quickly, using technical prototypes, customer feedback, and lean startup principles to test assumptions ...