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Microsoft Corporation Logo Microsoft Corporation · IT - Software Development

Senior Machine Learning Research Engineer

United Kingdom, Cambridge Employment contract 74700.00 - 122600.00 GBP / Year · Job Posted July 03, 2026
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Job Description

We're seeking a hands-on ML Research Engineer to accelerate our Machine Intelligence research area. You work confidently across training, fine-tuning, inference and evaluation, at single- and multi-GPU scale, with strong data-pipeline, debugging and data-analysis skills. Working closely with researchers, you'll design, implement and validate proof-of-concept solutions to Machine Intelligence problems, then partner with product teams to land that research in shipping products used by millions of people world-wide. This role is within the Research Engineering team at MSR Cambridge. Our team has broad experience spanning front-end, systems, networking and ML engineering at datacenter scale. We work across all the research areas in MSR Cambridge, deeply embedded in research projects.

Job Responsibility

  • Combine strengths in ML research and software engineering competence to contribute to the design and prioritisation of research activities
  • Build prototypes of ML systems to demonstrate research value, in some cases bringing these prototypes all the way to product-level readiness
  • Evaluate research prototypes, and help write up results to communicate outcomes clearly
  • Collaborate with researchers and product teams, helping smooth technology transfer between them
  • Reinforce a positive environment by applying best practices and high-quality engineering standards
  • Gain deep expertise in one (or more) subareas of research, and general understanding of a broad area
  • Contribute to academic publication of research outcomes
  • Proactively ensure high standard of software security over research prototypes and library supply chains
  • Understand and follow ethics and privacy policies relating to research processes and data handling, as appropriate

Requirements

  • Master degree in Computer science or related area, or equivalent training and experience in research
  • Experience with modern ML model architectures in PyTorch
  • Proficient in collaborative software development in Python
  • Skills in data analysis and model evaluation
  • Experience of performance tuning in ML systems
  • Experience communicating in English, both written and spoken, including the skill to communicate technical results and justify assumptions to diverse technical audiences
  • Willingness and flexibility to operate in a highly agile and dynamic environment

Nice to have

  • Doctorate (PhD) in Computer Science or related area, or equivalent training and experience in research
  • Demonstrated ability to work in large codebases
  • Proficient in lower-level engineering skills (eg C/C++/Rust) or equivalent systems languages
  • Experience of cluster-based distributed data processing techniques
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