11 of 11 Remote LLM Jobs in Cambridge

deploying machine learning solutions in production environments. Strong track record of successfully translating academic research into real-world applications and products. Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery Deep experience in Python and PyTorch More ❯

tier international conferences and journals. Role and Responsibilities As a Research Scientist you will: Contribute to research and commercialization efforts for Samsung AI Centre in areas including on-device LLM and VLMs, adaptive inference methods, and mobile ML systems. Conduct cutting-edge research within the existing group's agenda as well as contribute towards shaping it. Collaborate closely with cross More ❯

of business case realisation. Has demonstrated the ability to innovate and scale HR Tech capabilities across the enterprise Must have good understanding of Workday, ServiceNow HRSD, Eightfold and AI LLM models. Desirable : Degree or relevant business qualification Experience in and knowledge of pharmaceutical industry Involvement in pharma thought leadership networks and organisations Agile development methodologies We are an equal opportunity More ❯

MACHINE LEARNING RESEARCH ENGINEER Salary: £48,330 - £62,835 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time (35 hours per week), Permanent Shape the future of AI-powered learning solutions with Cambridge University More ❯

MACHINE LEARNING RESEARCH ENGINEER Salary: £48,330 - £62,835 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time (35 hours per week), Permanent Shape the future of AI-powered learning solutions with Cambridge University 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 ❯

Social network you want to login/join with: At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence is a pivotal leader in electronic design, building upon more 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 ❯

Junior Machine Learning Research Engineer Salary: £40,000-£52,000 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time/Permanent (35 hours per week) Shape the future of AI-powered learning solutions with More ❯

Permanent Role Location : Cambridge Hybrid Policy: 3 days onsite and 2 days working from home weekly Role and Responsibilities As anAI Research Scientist, you will be part of a dynamic team working on next-generation machine learning technologies for real More ❯

team on a contract basis for 3 to 6 months. The successful candidate will help build and scale advanced AI-driven applications, with a strong focus on production-ready LLM workflows, efficient architecture, and seamless integrations. You’ll work alongside a tight-knit team of engineers and product leads who are deeply committed to building responsible, high-impact AI systems. … and novel AI experiences, we want to hear from you. Minimum Requirements: Strong Python skills with clean, maintainable code. At least 12 months of real, proven production experience with LLM workflows and scaling them in real-world applications. Solid understanding of advanced prompt engineering techniques. Good knowledge and practical experience with FastAPI and RESTful APIs. Solid knowledge of PostgreSQL. Experience More ❯