3 of 3 Remote Research Engineer Jobs in Cambridgeshire

Senior Machine Learning Research Engineer Salary: £62,860 - £84,070 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contracts: • 1x Permanent, Full Time (35 hours per week) • 1x Fixed Term (18 months), Full Time (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading … academic publisher and assessment organisation, and a proud part of the University of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. About the Role As a … Senior Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs. Key Responsibilities: • Technical lead in designing full-cycle AI solutions, including More ❯

Research Software Development Engineer, MSR AI for Science Cambridge, Cambridgeshire, United Kingdom Share job Date posted Jul 07, 2025 Job number Work site Up to 50% work from home Travel 0-25 % Role type Profession Research, Applied, & Data Sciences Research Sciences Employment type Full-Time Overview We are on the cusp of a new frontier in … the most pressing problems facing society including climate change, green energy, sustainable materials, and the discovery of new drugs. AI for Science is a new global team in Microsoft Research focusingon the opportunity to transform scientific modelling and discovery through large-scale deep learning. We aim to advance this frontier and to drive real-world impact at a global … science. Prior experience developing high-performance scientific software is not required, but preferred. for Science Responsibilities Architect, design, and implement scalable and robust solutions for machine learning and scientific research involving large volumes of heterogeneous data. Build and optimize distributed data processing and model building pipelines. Develop and maintain tools and technologies for building, training, optimizing, scaling machine learning More ❯

️ This position isn't open at the moment, but we're always on the lookout for exceptional talent. Register your interest today, and you'll be among the first we consider when recruitment begins. At Bending Spoons, we're striving More ❯