Question 1

What qualifications are needed for the Senior Machine Learning Engineer role?

Accepted Answer

Applicants should hold advanced expertise in machine learning and software engineering . Experience developing research software, mentoring researchers, and applying AI techniques to scientific challenges is essential. A strong publication record and ability to deliver training are highly valued.

Question 2

Does the University of Cambridge offer visa sponsorship for this position?

Accepted Answer

Yes. The University provides full support for visa applications and reimburses the cost of the first visa for eligible international candidates. See higher-ed opportunities for more sponsored roles.

Question 3

What are the main responsibilities of the Senior Machine Learning Engineer?

Accepted Answer

Key duties include leading software development for scientific projects, advising researchers via the AI Clinic, delivering training, and mentoring across the University. The role supports the Accelerate Programme for Scientific Discovery to advance machine learning applications.

Question 4

Is this a permanent or fixed-term position?

Accepted Answer

This is a fixed-term role with funding available until 31 December 2026. Flexible and part-time working arrangements can be discussed. Explore similar faculty and research roles .

Question 5

How do I apply for the Senior Machine Learning Engineer position?

Accepted Answer

Submit a CV, publications list, cover letter addressing core skills, and details of three referees. Quote reference NR49862. Applications close 17 June 2026. Find preparation tips in our academic CV guide .

Senior Machine Learning Engineer, Accelerate Programme for Scientific Discovery (Fixed Term)

University of Cambridge

Cambridge, United Kingdom

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