2 of 2 Research Software Engineer Jobs in the East of England

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 … 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 … data applications, including those using tensor accelerators or GPUs. Strong analytical, problem-solving, and communication skills. Passionate about pushing the boundaries of 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. More ❯

Responsibilities (Text Only) - 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 solutions. - Collaborate with cross-functional teams, including scientists, researchers, and software engineers. … Document and share best practices across the organization. - Maintain the highest standards in code quality and software design. Qualifications (Text Only) Required: - Master's degree or equivalent work experience in Computer Science, Physics, Engineering, Chemistry, Mathematics or a related field. - Strong familiarity with Linux and the open-source ecosystem. - Proficient experience working with machine learning and large datasets. - In … data applications, including those using tensor accelerators or GPUs. - Strong analytical, problem-solving, and communication skills. - Passionate about pushing the boundaries of science. Prior experience developing high-performance scientific software is not required, but preferred. for Science Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or More ❯