(two posts, Fixed Term)
Fixed-term: Funds are available until 30 April 2026.
Artificial intelligence (AI) has the potential to become an engine for scientific discovery across disciplines. The Accelerate Programme for Scientific Discovery (https: // science.ai.cam.ac.uk/) is a high-profile University initiative promoting the use of machine learning to tackle major scientific challenges.
Accelerate Science:
Generating well-designed software will increase the scope, productivity, reliability, replicability and openness of research. In pursuit of these goals, we are seeking experienced Machine Learning Engineers (MLE) to lead the development of our software culture.
Role holders will contribute to software development activities that facilitate the application of machine learning for scientific discovery. By advising on the development of research projects and providing support to researchers across the University, role-holders will contribute to an environment in which researchers from across domains are empowered to build high-quality research software. The role-holder will be responsible for embedding good practice in scientific programming in research supported by Accelerate and for contributing to Accelerate's teaching and learning activities. The role holder will provide software support to Accelerate's AI Clinic, which supports Cambridge University researchers to resolve engineering issues they might encounter when implementing machine learning methods (https: // science.ai.cam.ac.uk/ai-clinic/). They will contribute to Accelerate's community engagement activities, promoting the importance of software engineering in research and supporting the uptake of best practice. The role-holder will also contribute to teaching activities within the team, including our training courses (https: // science.ai.cam.ac.uk/resources), study groups and lecture courses such as Machine Learning and the Physical World and Advanced Data Science (https: // mlatcl.github.io/resources/).
We're looking for experienced machine learning engineers who have:
Knowledge and experience of Large Language Models and their applications.
The ability to communicate technical concepts effectively and enthusiastically across disciplines and to audiences with a range of technical abilities.
The post is offered on a full time basis, however we would be open to discussing part time or flexible working arrangements.
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:
Short summary (max. 1 p.) setting out your view on "what role do you believe software engineering can play in building the Cambridge AI for science community?"
2 referees who may be contacted during the application process.
Informal enquiries can be made by contacting Katie Light [email protected].
Please quote reference NR44970 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.
Further informationDepartment of Computer Science and Technology, West Cambridge
Salary£34,866-£45,163
ReferenceNR44970
CategoryAcademic-related
Published4 February 2025
Closing date4 March 2025