Joseph Early is an AI research and machine learning engineer with a decade of experience building applied AI for high-stakes environments, currently serving as a No10 Innovation Fellow after leading research and engineering at Helsing. He holds a PhD in Artificial Intelligence from The Alan Turing Institute and has blended academic depth with production rigor across roles at Helsing, Amazon, and startups. Joseph specializes in translating research into robust ML systems that serve democratic institutions and large-scale products, with hands-on experience from full-stack development to applied science. Notably, he has moved rapidly between research and senior engineering roles, demonstrating an ability to ship ML systems under tight timelines and policy-sensitive constraints.
10 years of coding experience
3 years of employment as a software developer
Integrated Master of Engineering (MEng) Computer Science, Integrated Master of Engineering (MEng) Computer Science at University of Southampton
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at The Alan Turing Institute
A-Levels Mathematics Further Mathematics Physics and Chemistry, A-Levels Mathematics Further Mathematics Physics and Chemistry at St Mary's Catholic High School
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