326 to 350 of 710 LLM Jobs in the UK excluding London

also include:**• Experience working in a go-to-market (GTM) or similar operational environment. • Familiarity with AI tools such as Copilot or other large language model technologies. • Exposure to automation or low-code platforms, even at a basic level. • Some experience working with data or supporting transformation or system change ...

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 ...

Make.com, Zapier, Claude, or similar not just demos. Worked with Airtable or comparable systems as a real ops backbone, not a side spreadsheet. Built LLM-powered workflows with prompt craft, evaluation, and guardrails and knows when the model shouldn't act alone. Strong at debugging production systems under time pressure. ...

Make.com, Zapier, Claude, or similar not just demos. Worked with Airtable or comparable systems as a real ops backbone, not a side spreadsheet. Built LLM-powered workflows with prompt craft, evaluation, and guardrails and knows when the model shouldn't act alone. Strong at debugging production systems under time pressure. ...

delivery and content production across key digital channels. Develop and optimise strategies for AI-driven search platforms, including AI search experiences and LLM-based discovery channels. Monitor brand and content visibility within AI-generated responses and implement improvements based on performance insights. Refine structured data, content formats, and on-page ...

Nice to have Working familiarity with AI security standards and references such as the NIST AI RMF, ISO 42001, MITRE ATLAS, or the OWASP LLM Top 10. Hands‐on experience with policy‐as‐code and turning standards into enforced controls. Contributions to security standards, frameworks, or industry practice. Our Commitment ...

platform and service excellence. The role emphasizes building golden paths, developer tooling, and end-to-end software delivery governance to support ML/LLM workloads and cloud deployments. This is a chance to grow in a mission-driven, globally connected environment. #J-18808-Ljbffr ...

Workday ecosystem or enterprise SaaS environment. Experience supporting social activation for integrated GTM campaigns, strategic events, webinars, or product launches. AIexpertisein developing content, including LLM tools and agentic platforms Experience working alongside content, brand, and creative teams to developcontent strategiesandidentifybest practices for 1st/3rdparty content development ...

Core platform - the services and infrastructure that let us deploy to a multitude of public cloud providers and that powers many ML and LLM powered features. We give every other engineering team a reliable base to build on, and we own the software delivery lifecycle end to end: the tooling … exciting opportunity to grow professionally while contributing to a mission-driven organization. Responsibilities What you’ll own Reliability of platform(includes ML and LLM workloads) - model serving and inference infrastructure (GPU-backed endpoints, autoscaling, latency and cost tradeoffs), with SLOs, on-call, and incident response that cover models, not just ...

that can operate within the company's wider technology ecosystem. You will be involved in: Designing and developing AI agents and agentic workflows Building LLM-powered applications and automation Integrating AI with existing CRM, PMS, databases, APIs and internal systems Developing AI solutions that can reason, retrieve information, make decisions … looking for someone who has genuine commercial experience building AI solutions, rather than someone who has simply experimented with ChatGPT or integrated an LLM API. You may have a background as an AI Engineer, Generative AI Engineer, Machine Learning Engineer, Software Engineer or AI Solutions Engineer, but you will have ...

depth across the modern AI engineering stack is essential, not just RAG in isolation: Semantic search, vector/embedding infrastructure, and retrieval architecture design LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) LLM evaluation, guardrails, and red-teaming tooling (hallucination detection, safety/bias ...

solutions that power AI-driven case management capabilities. Build, implement and optimise data pipelines that connect enterprise applications and systems with AI and large language model platforms. Create, refine and optimise prompts and AI workflows to improve the quality, accuracy and relevance of AI-generated outputs. Support and drive … work independently, take ownership of technical initiatives and provide leadership within a multidisciplinary team. Additional Skills & Qualifications experience with Gemini or other large language model platforms. experience working with Google Cloud Platform (GCP). Hands-on experience in agentic AI development and orchestrating agent-based workflows. Knowledge of AI-assisted ...

AI/ML Engineer (Contract) London2 Days in OfficeOutside IR35£400 - £500 Per Day6 months long The Company They are a well-established media business with a strong digital presence and a growing focus on ...

Entity: Technology Job Family Group: IT&S Group Job Description: This role leads AI engineering capability across Upstream and Downstream business domains within bp's central digital delivery organisation. The Principal AI Engineer is responsible ...

Gloucester, South Gloucestershire Gloucester, London or Manchester Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site. SC Required Must already ...

work across AI, data and engineering teams to build intelligent retrieval, knowledge discovery and automation capabilities. Key Responsibilities Build production-grade GenAI, LLM, RAG and Agentic AI solutions Develop AI Agents and Multi-Agent Systems Work with LangChain, LangGraph and MCP Build intelligent retrieval using Embeddings, Vector Databases and Semantic … Search Apply Prompt & Context Engineering Integrate AI solutions through REST APIs and cloud platforms Test, evaluate and optimise LLM and AI Agent performance Take AI solutions from prototype through to production Key Requirements Strong commercial experience as an AI/GenAI Engineer Strong Python and SQL Hands-on experience with ...

hackajob is partnering directly with Raytheon UK to hire for this role. Date Posted: 2026-05-28 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Hybrid Raytheon UK has a perm opportunity for ...

Full job description Job Title: Forward Deployed Engineer Company: 167 Solutions Location: Bristol, London, Manchester Salary: £50,000 - £70,000 per annum (DOE) Contract Type: Permanent Experience Level: Minimum 3 years' commercial experience Start Date ...

Senior Product Engineer (AI & Full Stack) Location: Central London (Hybrid - 2-3 days per week) Salary: £65,000 - £75,000 + Bonus + Excellent Benefits Job Type: Permanent Please note: Applicants must have the full ...

platform and turn successful approaches into reusable tools and accelerators. What you'll be working on: Building AI solutions using RAG, AI agents, LLM integrations and MCP Taking solutions from prototype through to production, including security, scalability, guardrails and observability Building AI evaluation and testing frameworks to measure accuracy … TypeScript or similar, with experience across multiple modern languages Full-stack capability, including back-end and data engineering Proven experience building and shipping production LLM/AI applications Hands-on experience with RAG, AI agents, prompt engineering, tool orchestration and MCP Experience with AI evaluation, testing, datasets and guardrails Client ...

that improve delivery efficiency Developing reusable AI capabilities and accelerators Supporting analysis, reporting and knowledge management initiatives Technical Responsibilities Python development AI agent orchestration LLM applications and RAG solutions API integrations Data pipelines Cloud-based development Application development Workflow automation What We're Looking For Essential 2-4 years' software … engineering experience Strong Python development skills Experience working with GenAI/LLM technologies Experience developing software applications rather than purely analysing data Understanding of AI workflows, agent frameworks or automation tooling Experience delivering real-world software solutions Strong problem-solving ability Excellent communication skills Highly Desirable AI Agents/Agentic ...

unsanctioned AI usage without blocking it entirely. The team applies AI in how it builds as well - code assistants, AI-assisted test generation, and LLM-supported log and incident analysis - so you will be using these tools alongside defending against their misuse. Outcomes & KPIs Key Outcome(s) Owned: Reliable, performant … BTech, or Masters), or equivalent practical experience. Practical fluency with AI coding and debugging assistants, including sound judgement about when to rely on LLM output and when to verify it independently. Self-directed approach to problem solving, with the ability to pick up unfamiliar systems and technologies with limited guidance. ...

AI Engineer - Tewkesbury Ontic, a leading licensor and manufacturer of complex engineering parts for the global aerospace and defence industries, are now recruiting for an AI Engineer to join our IT team, where you'll ...

scalable data solutions. Develop conceptual, logical, and physical data models. Design and implement modern AI-ready architectures, including RAG, vector databases, semantic search, and LLM integrations. Build and optimise data pipelines supporting both batch and real-time processing. Lead data integration, transformation, and migration initiatives. Establish and maintain data governance … data modelling experience across enterprise-scale environments. Experience building modern AI-enabled data architectures. Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and LLM integrations. Experience with both batch and streaming/real-time data processing. Strong understanding of data governance, quality management, lineage, and metadata frameworks. Excellent stakeholder ...

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 ...