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

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 an experienced Senior Machine Learning Engineer (SMLE) to lead the development of our software culture. The role-holder 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, the successful candidate will help create an environment in which researchers from across domains are empowered to create and support high-quality research software. For example, the Senior Machine Learning Engineer 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 world wide 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 internally 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 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 part-time basis (0.2 FTE). If you have any questions about the role, please contact Jess Montgomery (jkm40@cam.ac.uk).

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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 two 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 NR40884 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 information

• Further Information

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