Cambridge Centre for Senior Machine Learning Engineer (Fixed Term)
Department of Computer Science and Technology, West Cambridge
Fixed-term: The funds for this post 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://acceleratescience.github.io/index.html) is a high-profile University initiative promoting the use of machine learning (ML) to tackle major scientific challenges. Working across disciplines and across the University, the Programme is:
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providing researchers with specialised training, equipping them with the skills they need to use ML and AI to power their research.
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pursuing an ambitious research agenda that applies ML to the scientific challenges of the 21st century.
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building a community of researchers working at the interface of machine learning and the sciences sharing knowledge and experiences that help advance the use of machine learning in the sciences.
Software development is a highly valuable resource that includes modelling, simulation and data-analysis. Generating well-designed software will in turn increase the scope, productivity, reliability, replicability and therefore 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 and manage the Programme's Software Engineering team.