10 of 10 LLM Jobs in Reading

concept. Key Responsibilities Design and build production-ready AI solutions , with a strong focus on reliability and scalability Develop and deploy GenAI/LLM-based applications (e.g. copilots, internal tools, automation) Build and maintain AI services, APIs and integrations with existing platforms Implement data pipelines, embeddings, vector search and retrieval ...

delivered on time, within budget, and to the highest standard. Lead client workshops to understand requirements and design tailored solutions. Deploy AI and LLM applications to cloud platforms such as AWS . Collaborate with developers, engineers, and project managers to deliver scalable solutions. Provide technical support during implementation and maintain ...

Reports to: Technology Director/Executive Sponsor Location: Remote with occasional travel to London (2 times a month) Contract: Full-time, permanent Base Salary: £70,000 – £80,000 location and experience dependent + 10% company ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Full Stack Engineer (Java, React, AI/ML/LLM/SDK) – Cutting-Edge Series B scale up Location: Remote EU - Spain Salary: £70K - £110K About: We are seeking a Full Stack Engineer with a proven track record in building and scaling applications powered by Large Language Models (LLMs). … This role requires deep expertise in Java, React, and modern AI/ML development, including LLM frameworks, SDKs, and retrieval-augmented generation (RAG) systems. Key Responsibilities Design and develop scalable full-stack solutions involving both frontend (React/TypeScript) and backend (Java). Build and optimise AI/ML pipelines ...

Multi-Agent LLM Systems Remote (MUST BE IN EUROPE) We're partnering with a venture-backed startup led by a founder who has built and taken two technology companies to IPO, now assembling a world-class team to tackle one of the most impactful problems in applied AI. The company … think in milliseconds, optimise for concurrency, and understand the trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking ...

expansion across a portfolio of AI safety and security services. In this role, you will own the full sales cycle for new GenAI and LLM-focused customers, partnering closely with technical and delivery teams to position our services as long-term, strategic solutions. You will engage senior stakeholders across product … excited to work with frontier AI organizations. What You'll Do: Own the end-to-end sales cycle for new GenAI and LLM-native customers Engage senior stakeholders across product, research, safety, and leadership teams Lead discovery conversations to understand customer objectives, technical context, and risk profiles Position AI safety ...

Working: 100% office About the Role Skills and Requirements Proficiency in JavaScript and Python for AI testing and automation. Expertise in adversarial testing, identifying LLM vulnerabilities, and implementing secure AI practices. Hands-on experience with AI testing frameworks like Botium, Pyrit, or similar tools for LLM evaluation. Familiarity with knowledge … base evaluation methods and tools for assessing LLM performance (precision, recall, consistency). Ability to design and execute adversarial testing, red-teaming, and stress-testing for LLMs. Knowledge of LLM security vulnerabilities, ethical AI principles, and AI compliance frameworks. Experience in prompt engineering, and analyzing LLM behavior under adversarial conditions. ...