126 to 150 of 534 LLM Jobs in the UK

home here! 💼 Requirements: 4+ years building full-stack applications with Python/JS, or TypeScript (React, Next.js, Node, etc) Hands-on experience working with LLM and RAG High 2.1/First in Computer Science (or similar) from Top Tier University (Oxford, Cambridge, Imperial, UCL, etc) Ok with ambiguity. Everything ...

/JavaScript Data visualisation: BI tools (e.g. Looker, Tableau, Power BI) and/or custom dashboards AI: experience building or leading applied AI/LLM solutions for automation and decision support ...

positive difference through the development of AI solutions is what they do best. If you’re proficient in python, are enthusiastic about working with LLM’s and have strong experience leading the design and development of production grade solutions in enterprise, then this job could be a great next step ...

LLMs, this role is for you. In this role, you’ll: 🔧 Build and ship high-impact software 🧠 Work on AI/LLM-powered automation tools used in production 🏗️ Help shape scalable systems and infrastructure 🌍 Work collectively across teams to push the product forward 💻 Be working end-to-end on both ...

than ticking boxes. Who this suits Full stack engineers who enjoy building serious internal tools and have 5years+ experience Those with experience working with LLM agents or a strong interest in this area People comfortable working with evolving requirements Engineers who care about good UX without needing to be designers ...

interfaces for human–agent collaboration. Rapidly prototype and iterate with engineers and designers to discover the right interaction models for working productively with agents. LLM Agentic Workflows: Build a system of agents — tool use, memory, retries, context updates, feedback loops, and MCP integration. System Design & Technical Strategy: Partner directly with ...

Reports to: Technology Director/Executive Sponsor Location: Remote with occasional travel to London (2 times a month- paid for) Contract: Full-time, permanent Base Salary: £70,000 £80,000 location and experience dependent + ...

production. Key Responsibilities Deliver highly interactive frontends (involving text based and video based chat experiences) built with modern frameworks like React that integrate LLM-driven features (conversational interfaces, tool-assisted workflows, structured editors, visualizations) to boost marketing productivity. Enable measurement/analytics to track usage … LLM features Own the end-to-end product experience for LLM-enabled features: collaborate with UX/design to craft flows, run rapid prototypes, and iterate based on user testing and analytics. Integrate LLMs into the application stack, handling prompt design, response parsing, tool use, chaining, and RAG strategies while ...

taken depending on the results of goal 1to integrate the most interesting/beneficial feature into the GNATfuzz product AI Corpus Generation: Use an LLM to generate a diverse set of valid and boundary-case inputs for a target application based on its function signatures and documentation (if available). ...

across several of the following: Workflow automation platforms (Make, n8n, Zapier, Workato) Python, JavaScript or similar API integration and system orchestration Applied AI/LLM use cases Cloud or serverless environments Just as important is a builder mindset pragmatic, curious, delivery-focused and comfortable shaping clarity in ambiguity. Package & Benefits ...

control assessments and evidence evaluation Drafting and refining policies, standards, and procedures Improving reporting, insights, and communication Ability to identify where automation, AI, or LLM-based tooling can improve consistency and operational efficiency. Nice to Have A blend of consultancy and in-house experience within security, assurance, or risk management. ...

Responsibilities: Design a unified AI Infra & Serving architecture platform for composite AI workloads such as LLM Training & Inference, RLHF, Agent, and Multimodal processing. This platform will integrate inference, orchestration, and state management, defining the technical evolution path for Serverless AI + Agentic Serving Design a heterogeneous execution framework across ...

engineering best practices around testing, reliability, and security Tech Environment Languages: Python, TypeScript Architecture: Cloud-native, distributed systems, event-driven design AI: Practical LLM usage in real-world products Infrastructure exposure: Kubernetes, serverless, modern cloud platforms (experience here is a plus, not a blocker) What We're Looking ...

INSIDE IR35 Umbrella What You'll Do Red-Teaming: Lead adversarial campaigns to identify system gaps using automated frameworks and LLM-as-a-judge click apply for full job details ...

products. What you’ll do Lead and scale a high-performing engineering team Own delivery, platform reliability, and technical direction Productionise agentic AI/LLM-driven systems Build robust, secure systems for regulated financial environments Set engineering culture, standards, and best practices What we’re looking for Proven engineering leadership ...

Staff (Go/Java/Rust) Up to 150,000 + Bonus + Benefits On-Site, London We are working with the first post-LLM open banking platform . The company is looking to add several Senior Engineers to their team in Liverpool Street, London. The platform, is designed ...

Staff (Go/Java/Rust) Up to 150,000 + Bonus + Benefits On-Site, London We are working with the first post-LLM open banking platform . The company is looking to add several Senior Engineers to their team in Liverpool Street, London. The platform is designed ...

right at home here. 💼 Requirements: 2+ years building full-stack applications with JavaScript/TypeScript (React, Next.js, Node, etc) Hands-on experience working with LLM's and RAG High 2.1/First in Computer Science (or similar) from Top Tier University (Oxford, Cambridge, Imperial, UCL, etc) Thrive on ambiguity. Everything ...

LLMs, this role is for you. In this role, you’ll: 🔧 Build and ship high-impact software 🧠 Work on AI/LLM-powered automation tools used in production 🏗️ Help shape scalable systems and infrastructure 🌍 Work collectively across teams to push the product forward 💻 Be working end-to-end on both ...

Curious about LLMs and AI-driven workflows Someone who’s built things independently and enjoys ownership Bias toward speed, learning, and delivery Experience with LLM APIs, cloud infrastructure, RAG, or agent-based systems is a bonus, but not required. What we offer Competitive salary plus equity Meaningful ownership and real ...

enterprise users to deploy AI, gather feedback, and iteratively improve system performance. What We're Looking For Experience building production AI systems or complex LLM-powered applications that improve over time. Commercial experience working with agentic AI systems . Hands-on work with human-in-the-loop feedback , evaluation frameworks ...

quantified outcomes with the sales organisation Experience enabling SDRs and sales teams with campaigns, content and messaging Nice to Have Experience with AI- or LLM-driven targeting, personalisation or discoverability Background in data-led or intelligence-driven SaaS HubSpot experience Why Apply This is a senior, high-impact role offering ...

value, then harden it into scalable foundations Raise the bar across testing, documentation, reliability, and security as the platform scales Build the “hard stuff”: LLM workflows, speech-to-text, text-to-speech, real-time automation, and the glue that makes it reliable in production What you will bring Strong engineering ...

Haves: Experience selling complex SaaS products to mid-market or enterprise firms. Frequent user of AI products with an understanding of the current LLM landscape. Side projects, "hustles," or early-stage startup experience that shows you can build from zero. 🎁 What’s In It For You? Competitive base + unlimited ...

ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation ...