11 of 11 Permanent LLM Jobs in Cambridge

feedback early in the lifecycle to reduce defects and improve design. Mentor junior testers, encourage continuous learning, and contribute to a culture of innovation. AI & Cloud Expertise Familiarity with LLM evaluation techniques, output scoring, and validation frameworks. Understanding of key concepts such as prompt engineering, RAG, model orchestration, and hallucination detection. Experience in testing for accuracy, relevance, and consistency of More ❯

documentation, delivery, and maintenance). About the team The Alexa Conversational Modelling Intelligence team is looking for a passionate, talented, and inventive Principal Scientist to help build industry-leading LLM-based conversational technologies that customers love. Our mission is to push the envelope in LLMs for Alexa, in order to provide the best-possible customer experience for our customers. BASIC More ❯

Job ID: Evi Technologies Limited We are looking for a researcher in cutting-edge LLM technologies for applications across Alexa, AWS, and other Amazon businesses. In this role, you will innovate in the fastest-moving fields of current AI research, in particular in how to integrate a broad range of structured and unstructured multimodal information into AI systems (e.g. with More ❯

MongoDB - Strong understanding of Data Modelling, ETL/ELT, DWH concepts - Docker/EKS containerisation tooling - Experience building and maintaining pipelines for data workflows (CI/CD - RAG or LLM based data system experience If this sounds like you please reach out. More ❯

Birmingham, Bristol, Cambridge, Gatwick, Milton Keynes, Reading Business Line Enabling Functions Job Type Permanent/FTC Date published 10-Jun-2025 19366 Connect to your Industry Are you passionate about data science and AI? Do you want to apply your More ❯

IP that underpin each solution. This diverse role will largely focus on providing software enablement for our next generation CPU and ML accelerator based technologies on target LLM (Large Language Model) use-cases. Typical activities would include application and system analysis, technology research, hands-on software prototyping to understand how software and hardware behaves, experimental investigations, and performance analysis. You More ❯

AI/LLM Full Stack Developer | Legal Tech Innovation Up to £85,000 + 5% Bonus Cambridge - 2-3 Times Per Week Are you passionate about the intersection of LLMs, AI innovation, and full stack engineering I'm hiring for a pioneering tech team within a leading global organisation that's transforming how legal professionals engage with complex data. They … Azure , with a focus on scalability and performance Integrate APIs, manage data flows (SQL, GraphDB, CosmosDB), and optimise DevOps pipelines Stay ahead of trends in AI/ML tooling, LLM APIs , and modern development practices What You'll Bring 3+ years' experience building enterprise-grade full stack applications Strong backend skills with Python and frameworks like FastAPI or Flask Solid … React , TypeScript , HTML/CSS Experience working with both SQL and NoSQL (GraphDB, CosmosDB, Postgres, etc.) Familiarity with cloud development (ideally on Azure ) and containerised deployments Bonus: Exposure to LLM APIs (e.g. OpenAI, Claude), GenAI tooling, and AI product development Why This Team? You'll be joining a well-funded innovation group within a globally recognised organisation, where you'll More ❯

of problems in Arm across hardware and software, and we drive engineering excellence and efficiency through the deployment of AI into existing workflows. Responsibilities: Build AI applications that integrate LLM capabilities into engineering workflows, from interactive agents to intelligent automation tools. Architect, implement, and maintain scalable LLM systems suitable for large-scale, multi-user environments. Build production ready, high quality … AI/ML products; produce clean code and contribute to internal methodologies for prompt engineering, evaluation, and LLM usage patterns. Tune prompts, pipelines, and infrastructure to ensure robust behaviour, low latency, and cost-efficient inference. Apply software engineering practices to AI codebases, ensuring maintainability, testing, continuous integration and delivery. Collaborate with HW design, SW engineering, and verification teams to understand … forefront of AI productivity engineering. Required Skills and Experience : BS, MS, or PhD or equivalent experience in Computer Science, Machine Learning, Engineering, or a related field. Production experience building LLM-powered applications and integrating them into larger systems. Hands-on expertise tuning and optimising LLM + ML driven applications. Proficiency in Python and common ML/AI libraries; comfortable with More ❯

Want a fast-paced, rewarding career at a fast-growing, global tech company? Luminance is a young AI company that is growing rapidly: today, Luminance's technology is helping over 700 customers in 70 countries globally. With ambitious growth plans More ❯

AI) and machine learning (ML) technology, we strive to predict and resolve customer issues through self-service and automation solutions. The CET team leads AI and Large Language Models (LLM)-driven customer experience transformation using task-oriented dialogue systems. We develop multi-modal, multi-turn, goal-oriented dialog systems that can handle customer issues at Amazon scale across multiple languages. … Key job responsibilities - Build and maintain the inference infrastructure for Amazon's conversational AI customer service chatbots, leveraging LLMs. - Develop and own the deployment pipelines for integrating and deploying LLM models into production environments, including rigorous testing and validation stages. - Design and implement the ML inference service that orchestrates the interaction between multiple models, such as issue prediction, item recommendation … 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan About the team Join our team of scientists and engineers who develop and deploy LLM-based Conversational AI systems to enhance Amazon's customer service experience and effectiveness. We work on innovative solutions that help customers solve their issues and get their questions answered efficiently More ❯

We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of interest include but are not More ❯