Samuel Bell is a senior machine learning researcher and engineer with 14 years’ experience bridging rigorous ML research and production-grade systems. After a PhD in machine learning at the University of Cambridge and a stint as a visiting researcher at The Alan Turing Institute, he joined FAIR at Meta where he focused on evaluating and improving model reliability before moving into a Member of Technical Staff role at Ash by Slingshot AI. His background spans research scientist roles, postdoc-level research, and hands-on engineering leadership at companies like Thought Machine and Goldman Sachs, so he comfortably moves between experimental ML, deployment, and scalable software. Known for work on socially-responsible AI at FAIR, he brings a reliability-first mindset to building trustworthy models and has a track record of turning complex research into practical, production-ready solutions.
14 years of coding experience
10 years of employment as a software developer
BSc Computer Science, BSc Computer Science at The University of Manchester
PhD Machine Learning, PhD Machine Learning at University of Cambridge
Visiting Student, Visiting Student at The Alan Turing Institute
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