5 of 5 Remote/Hybrid Machine Learning Engineer Jobs in Cambridge

Machine Learning Research Engineer Salary: £49,170 - £63,915 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Permanent Hours: Full Time (35 hours per week) Overview Cambridge University Press & Assessment is a world‐leading academic publisher and assessment organisation and a proud … part of the University of Cambridge. The Applied AI team works on AI‐powered learning solutions that enhance Cambridge English products and services. Responsibilities Develop, deploy, and maintain scalable AI‐powered solutions for Cambridge English products. Optimize and modularise models for reusability and performance. Collaborate with product, validation ...

regardless of gender identity. As we continue to expand and evolve our Data Platform and Data Network products, we're looking for a Senior Machine Learning/Artificial Intelligence Engineer (m/f/x) to join our Product & Engineering team. In this role, you'll collaborate … directly with key customers and internal stakeholders to validate solution performance and ensure product impact and usability. 5+ years of engineering experience focused on Machine Learning, AI, and Data Science. Hands-on production experience with LLMs, PyTorch, ML pipelines, and modern prompt engineering frameworks. Strong skills in Python ...

Cambridge University Press in Cambridge is seeking a Machine Learning Research Engineer to develop and enhance AI-powered solutions for educational products. This role requires a Master’s degree and 2+ years of industry experience. Your responsibilities will include collaborating with cross-functional teams to optimize machine learning models, ensuring they meet user needs while staying at the forefront of AI innovation. This permanent position offers a hybrid work model and various benefits including private medical insurance and a discretionary annual bonus. #J-18808-Ljbffr ...

automation, connected cities, self-driving cars, and much more! What you could be doing as a Graduate in our team? As a hardware design engineer, you’ll join a growing, highly skilled, and supportive team developing Machine Learning accelerators. Collaborating with colleagues across our international design centres ...

task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. As Technical Lead, Machine Learning, you own the execution layer of A1’s intelligence. You translate research direction into reliable, scalable, production-grade ML systems. This role … Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products. Make pragmatic trade-offs and ship improvements quickly, learning from real usage. Work under real production constraints: latency, cost, reliability, and safety Outcomes Research and models reliably translate into production-ready solutions with ...