26 to 50 of 96 LLM Jobs in the Thames Valley

cleaning data all the way to monitoring models in production Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based More ❯

focused on accelerating the safe and effective use of AI across departments. You’ll design, test, and optimise prompts and AI agents that power Microsoft Copilot and other large language model applications—helping teams automate routine tasks, enhance workflows, and make better use of AI capabilities in a secure, responsible way. What you’ll do Design and optimise prompts for More ❯

world impact. Experience in early-stage or startup environments is a plus. A “builder” mindset; you’re happiest when ideas turn into working systems. Key Experience: Agentic System Design LLM Engineering/Foundation Models Planning and Reasoning Scalable ML Infrastructure Reinforcement Learning (esp. RLHF/RLAIF) Simulation or feedback-driven adaptation Interview Process Initial Chat – Conversation with a Founder Technical More ❯

strong partnerships with major tech vendors. 🛠️ What We Need Proven experience designing and deploying agentic AI systems in production Strong understanding of AI/ML techniques, including reinforcement learning, LLM agents, and simulations Proficient in Python and Infrastructure as Code for cloud environments Familiarity with AI orchestration platforms like LangChain and LangGraph, AutoGen, CrewAI, or similar Experience supporting pre-sales More ❯

Figma, Sketch, and Adobe Creative Suite Strong understanding of accessibility, rapid prototyping, and iterative design Experience or strong interest in AI-first platforms, workflow-based interfaces, or text/LLM interactions Confident communicator who can bridge creative and technical discussions Based in London or open to relocation (onsite role only) You’ll Fit Right In If You Love designing products More ❯

Do you want to get on the AI train? This is your chance. You're going to be coming in to build out various AI solutions, specifically LLM/GenAI products that have been designed for clients. You'll be joining a team of AI Engineers who have the core AI experience, but in some cases aren't hardcore engineers More ❯

client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI Expertise Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background with deep experience deploying scalable systems More ❯

faster : We deploy daily, not monthly Talk to users, shape the roadmap : Sit in the trenches with founders on calls that define what we build Train AI agents: Design LLM-powered testers that explore, learn, and adapt in real time Own the stack :Python, TypeScript, cloud infra, from commit to production Turn prototypes into production : Run real experiments on models More ❯

to build scalable, event-driven systems. Design and optimise APIs that serve our mobile and web products, including partner integrations. Implement efficient RAG AI backend systems for introducing advanced LLM based features Collaborate with product managers, data engineers, and frontend developers to deliver new features end to end. Write clean, maintainable, and well-tested code, following modern CI/CD More ❯

/AWS · IaC (Terraform/Pulumi) Enterprise Architecture · Multitenancy · Zero-Trust · FGA · Event-Driven · Caching · Workflows TypeORM · Drizzle · RabbitMQ · Redis · Distributed Systems · Vercel AI SDK · Prompt Engineering · Agentic Systems · LLM Toolchains · Embeddings · Retrieval · AST/Codegen Applied AI/Systems Research (Bonus) The Offer Location: London (in-person) strongly preferred during the early phase to build tightly as a founding More ❯

Incorporate DEX (Digital Employee Experience) metrics and analytics tools (e.g., Nexthink, Lakeside, Aternity) into proposals. Develop automation and AI agent use cases using chatbots, ServiceNow Virtual Agent, and custom LLM-based assistants for IT support automation. 2. Presales Engagement & Bid Support Partner with account managers and solution architects to develop technical proposals, RFP/RFI responses, and customer presentations. Conduct More ❯

chatbots, document summarization, code assistants, and more. Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy … in Python (preferred), with experience in Java or Node.js. Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools More ❯

Imperial , this venture is already attracting serious attention within the AI space!! What They’re Looking For: 🦉5+ years of experience in high-growth environments 🛠️Tech: Python, TypeScript, React, LLM 🎓 2.1/First from top tier university ( Oxford, Cambridge, Imperial, UCL , Etc.) 👷Experience building and scaling real-world applications from scratch 🤝A team player who thrives in a full-time More ❯

Do you want to enhance your AI experience? This is your chance. You're going to be coming in to build out various AI solutions, specifically LLM/GenAI products that have been designed for clients. You'll be joining a team of AI Engineers who have the core AI experience, but in some cases aren't hardcore engineers who More ❯

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, theres no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help More ❯

deploy GenAI features in telecoms use cases like network analytics, customer experience, and automation. Own end-to-end delivery - from prototyping to production release. Build and optimize RAG pipelines, LLM integrations, and orchestration workflows Deploy and monitor AI workloads in containerized cloud environments (Docker, Kubernetes, AWS/GCP/Azure) Participate in code reviews, architecture discussions, and mentor junior engineers … Engineering, or related field (Master's a plus) Extensive experience in professional software development Strong Python skills and a track record of delivering maintainable, well-tested code Experience with LLM APIs (OpenAI, Hugging Face, Anthropic) or ML frameworks (PyTorch, TensorFlow) Solid understanding of CI/CD, Git, testing, and agile methodologies Hands-on experience with Linux, Docker, and containerized deployments More ❯

Campion Pickworth are working with a leading International professional services firm to recruit for Senior Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment. This is More ❯

systems. Strong collaboration skills with engineers, product managers, and researchers. Ability to distill complexity into simple, intuitive experiences . Nice to Have Experience with AI agents, automation flows, or LLM-driven products . Background in motion/interaction design for communicating system intelligence. Familiarity with prompt design, conversational UX, or multi-agent workflows. Knowledge of accessibility and inclusive design for More ❯

Agent Experience (AX): Shape intuitive 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 founders to define the technical More ❯

the technical sales cycle, including responding to RFPs/RFIs, addressing security and technical questionnaires, and mitigating competitive threats. Articulate complex AI concepts (e.g., model training, data pipelines, MLOps, LLM fine-tuning) in a clear, accessible, and business-relevant manner to both technical and non-technical audiences. Build and maintain strong, trusted relationships with key technical and operational stakeholders in … a demo environment, writing simple scripts, and building custom scenarios to prove a point. Highly Desired: Direct experience with our specific AI domain (e.g., experience with LangChain for an LLM company, or TensorFlow/PyTorch for a computer vision company). Understanding of MLOps principles and the end-to-end machine learning lifecycle. Programming/scripting experience (e.g., Python, SQL More ❯

Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. More ❯

We are seeking a highly skilled LLM Researcher to join our client team, focusing on innovation in Large Language Models (LLMs) and scalable AI deployment. Key Responsibilities Research & Development (Primary Focus) Design and experiment with LLM architectures and transformer-based models aimed at enhancing language understanding and generation tasks. Implement optimization methods, including parameter-efficient finetuning and quantization strategies. Develop … LLMs, contributing to advancements in natural language processing. Data Engineering Create robust, scalable data pipelines for managing multi-modal datasets ; oversee preprocessing, cleaning, and curation workflows essential for efficient LLM training and inference. Model Development & Evaluation Lead the development and evaluation of LLMs, leveraging expertise in transformers , self-supervised learning , and large-scale distributed training . Optimize training pipelines for … enhanced performance, compute efficiency, and responsible AI alignment. LLM Deployment & Scalability Manage the end-to-end deployment of LLMs and foundation models in production environments, focusing on system integration, inference, and optimization. Cross-functional Collaboration Engage with research scientists, ML engineers, and product teams to align technical advances with business needs. Mentor junior researchers and engineers, promoting best practices in More ❯

About the Role (Dubai based) We are seeking an experienced and visionary Head of Data Science & Machine Learning to lead and scale our data science organization. In this role, you will drive innovation and execution across core ML pillars such More ❯

Junior Data Scientist – AI Start-up | GenAI Location: London [3 days p.week on-site] Experience: Graduate to 2 years’ experience Salary: DoE: £35,000 - £55,000 The Company Hyre AI is partnering with an exciting early-stage AI startup that More ❯

Job Title: Solutions Engineer Location: London (Hybrid – 3 days per week) Salary: £60,000 + bonus and perks About Our Client Our client is a global group of life-saving technology companies, united by a mission to create a safer More ❯