Senior Machine Learning Engineer, Accelerate Programme for Scientific Discovery (Fixed Term)
CompanyUniversity of Cambridge
Location
Cambridge, England, United Kingdom
Employment TypeFull-time
Posted At6/4/2026
UK Visa Sponsorship Analytics
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Occupation TypeProgrammers and software development professionals
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,700
(£28.05 per hour)
Occupation rate applies
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Description
Fixed-term: The funds for this post are available until 31 December 2026.
Artificial intelligence (AI) has the potential to become an engine for scientific discovery across disciplines. The Accelerate Programme for Scientific Discovery (https://acceleratescience.github.io/index.html) is a high-profile University initiative promoting the use of machine learning (ML) to tackle major scientific challenges.
Accelerate Science
provides researchers with specialised training in AI techniques, equipping them with the skills they need to use machine learning and AI to power their research.
pursues an ambitious research agenda that applies machine learning to the scientific challenges of the 21st century.
nurtures a community of researchers working at the interface of machine learning and the sciences.
Generating well-designed software will increase the scope, productivity, reliability, replicability and openness of research. In pursuit of these goals, we are seeking experienced Senior Machine Learning Engineers (SMLE) to lead the development of our software culture.
Role holders will facilitate the application of machine learning for scientific discovery across a range of projects and activities. By providing software engineering support, advising on the development of diverse research projects and delivering training and mentoring to researchers across the University, successful candidates will help create an environment in which researchers from across domains are empowered to create and support high-quality research software. For example, Senior Machine Learning Engineers will collaborate with researchers and Accelerate's partners across Cambridge to develop research objectives, projects, and proposals, providing strategic advice for research software through routes including the AI Clinic (https://acceleratescience.github.io/machine-learning-clinic).
The role-holder will also contribute to teaching activities and details on our courses can be found in the further particulars.
The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology and mathematics. We have a worldwide reputation for academic research with consistent top research ratings. The Department has an open and collaborative culture, supporting revolutionary fundamental computer science research, strong cross-cutting collaborations internal
Artificial intelligence (AI) has the potential to become an engine for scientific discovery across disciplines. The Accelerate Programme for Scientific Discovery (https://acceleratescience.github.io/index.html) is a high-profile University initiative promoting the use of machine learning (ML) to tackle major scientific challenges.
Accelerate Science
provides researchers with specialised training in AI techniques, equipping them with the skills they need to use machine learning and AI to power their research.
pursues an ambitious research agenda that applies machine learning to the scientific challenges of the 21st century.
nurtures a community of researchers working at the interface of machine learning and the sciences.
Generating well-designed software will increase the scope, productivity, reliability, replicability and openness of research. In pursuit of these goals, we are seeking experienced Senior Machine Learning Engineers (SMLE) to lead the development of our software culture.
Role holders will facilitate the application of machine learning for scientific discovery across a range of projects and activities. By providing software engineering support, advising on the development of diverse research projects and delivering training and mentoring to researchers across the University, successful candidates will help create an environment in which researchers from across domains are empowered to create and support high-quality research software. For example, Senior Machine Learning Engineers will collaborate with researchers and Accelerate's partners across Cambridge to develop research objectives, projects, and proposals, providing strategic advice for research software through routes including the AI Clinic (https://acceleratescience.github.io/machine-learning-clinic).
The role-holder will also contribute to teaching activities and details on our courses can be found in the further particulars.
The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology and mathematics. We have a worldwide reputation for academic research with consistent top research ratings. The Department has an open and collaborative culture, supporting revolutionary fundamental computer science research, strong cross-cutting collaborations internal
ly and externally, and ideas which transform computing outside the University. Please follow the link at: https://www.cst.cam.ac.uk to find out more about our Department.
The post is offered on a full time basis, however we would be open to discussing part time or flexible working arrangements. If you have any questions about the role, please contact Jessica Montgomery (jkm40@cam.ac.uk).
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
To apply, please submit a CV and publications list, a cover letter explaining how your experience relates to the core skills required for the role and names of three referees who may be contacted during the application process. If you upload any documents which have not been requested, we will not be able to consider these as part of your application.
Please quote reference NR49862 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK. Please note that we provide the support of applying for the relevant visa (if required) and we reimburse the cost of the first visa.
The post is offered on a full time basis, however we would be open to discussing part time or flexible working arrangements. If you have any questions about the role, please contact Jessica Montgomery (jkm40@cam.ac.uk).
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
To apply, please submit a CV and publications list, a cover letter explaining how your experience relates to the core skills required for the role and names of three referees who may be contacted during the application process. If you upload any documents which have not been requested, we will not be able to consider these as part of your application.
Please quote reference NR49862 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK. Please note that we provide the support of applying for the relevant visa (if required) and we reimburse the cost of the first visa.