Senior Researcher in Machine Learning: MSR Machine Intelligence
Cambridge, Cambridgeshire, United Kingdom
Date posted
Oct 03, 2025
Job number
1884495
Work site
3 days / week in-office
Travel
0-25%
Role type
Individual Contributor
Profession
Research, Applied, & Data Sciences
Discipline
Research Sciences
Employment type
Full-Time
Overview
The Machine Intelligence team at MSR Cambridge (UK) is dedicated to foundational machine-learning research, guided by the principles of responsible AI, collaboration, and scientific excellence. Our work is grounded in efficiency, intelligence, and alignment, and we are deeply engaged in collaborations that build on these foundations for systems, the sciences, and human-centred AI.
We seek a highly collaborative researcher with expertise in one or more core areas of ML, strong communication skills, and a commitment to impactful research. We offer a vibrant environment for researchers with unique opportunities to collaborate across disciplines and teams
Qualifications
Required:
A PhD in a relevant field (e.g. ML, Computer Science, Mathematics, Physics).
World-class expertise in one or more sub-fields of ML, evidenced by top-tier publications and experience.
Ability to clearly communicate research ideas and results to a diverse audience.
Strong ML coding and engineering skills.
Preferred:
Broad ML education and experiences, covering, for example: statistical methods, probabilistic modelling, RL, deep learning, LLM training.
Desire to work on foundational ML and/or efficient and scalable ML systems.
Research
Responsibilities
* Spearhead research initiatives in ML that lay the groundwork for advancements across a wide range of scientific and technological domains.
* Collaborate and foster a culture of innovation with a team of world-class researchers and scientists to explore and solve fundamental problems in ML, with a focus on generating impactful, cross-disciplinary applications.
* Translate theoretical AI concepts into tangible solutions and methodologies that address complex issues within various fields of study and industry sectors.
* Disseminate research findings through publications, conference presentations, and engagements with the broader scientific community, enhancing Microsoft's reputation as a leader in AI research.
* Mentor and supervise interns, providing guidance and feedback on their projects and career development.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.