Microsoft UK • Cambridge, United Kingdom

Senior Researcher – Machine Learning for Healthcare

Employment type:  Full time


Fully flexible hours

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Job Description


Are you interested in working on cutting-edge AI research to solve some of the most pressing problems of our society? Join our vibrant team and help us revolutionize healthcare with multimodal AI at Microsoft Research Cambridge (UK).

As part of the Biomedical Imaging Team at Microsoft Health Futures Cambridge (UK) you will join an innovative, collaborative team at the intersection of AI and Healthcare. We partner with top medical centers to develop state-of-the-art AI models based on multimodal LLMs.

You will be responsible for the design, development, and execution of an exciting research agenda in collaboration with other machine learning, engineers, clinicians, social scientists, and designers at Health futures. To learn more about this opportunity, please visit:


The ideal candidate will have a strong intellectual curiosity and passion to solve real-world problems in healthcare and medical imaging. The responsibilities will include:

  • Advance multimodal medical imaging AI, empowering internal and external partners to build and deploy state of the art medical imaging AI to make clinical workflows faster and safer and improve patient outcomes.
  • Collaborate on design, implementation and evaluation of multimodal machine learning solutions which consider key clinical factors and responsible AI.
  • Support the strategic planning of the team by providing engineering and research leadership.
  • Engage with external and internal collaborators to drive real world impact.



  • PhD in Machine Learning, Computer Science or related fields or equivalent experience
  • Experience working on a multidisciplinary team working on AI research for real world impact.
  • Hands-on experience with large scale deep learning models and libraries (e.g., PyTorch, TensorFlow).
  • Strong software development skills.


  • Publications at top conferences and journals such as: NeurIPS, ICML, ICLR, MICCAI, Nature, CVPR, ICCV, EMNLP, ACL.
  • Experience with medical domains such as radiology, digital pathology, genetics, immunology.
  • Machine learning expertise in multi-modal learning, large language models (e.g., alignment), and/or domain adaptation and data-efficient learning.


Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Company benefits

Wellbeing allowance
Health insurance
Dental coverage
Gym membership
Mental health platform access
Buy or sell annual leave
Shared parental leave
Matched pension contribution
Charity donation scheme
Employee assistance programme
Employee discounts
Volunteer days
Fertility treatment leave
Open to compressed hours
Open to job sharing
Fertility benefits
Enhanced sick pay
Enhanced sick days
Compassionate leave
Travel insurance
20 days annual leave + bank holidays
Enhanced maternity leave
Enhanced paternity leave
Adoption leave
Childcare credits
Carer’s leave
Cycle to work scheme
Faith rooms
Annual bonus
Annual pay rises
Company car
Open to part-time employees
Pregnancy loss leave
Life insurance
Equity packages
Financial coaching
Relocation packages
Employees are very happy with their working location freedom
Employees are very happy with the flexibility in the hours they work
Employees are largely happy with the benefits their company offers
Work-life balance
Employees feel that they can switch off quite easily from work
Role modelling
Employees feel that most people work flexibly
Employees feel that they can mostly manage how they get their own work done

Working at Microsoft UK

Company employees

Globally: 220,000

Gender diversity (male:female)


Office locations

London, Reading, Cambridge, Romsey, Manchester, Edinburgh

Hiring Countries

United Kingdom

Awards & Achievements

Most flexible companies

Most flexible companies

Flexa100 2024

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