Tim Staley is a Staff Machine Learning Engineer based in Oxford with 14 years of experience blending scientific research and production ML engineering. He holds a PhD in astronomy and has moved from building automated GRB-chasing systems and radio-astronomy pipelines to leading ML platform and SaaS development for industry. Tim excels at translating research workflows into auditable, deployable infrastructure—driving multi-million pound cost savings through workflow migrations and cutting project startup times from days to minutes. He combines deep Python ecosystem expertise (data processing, distributed compute, ML lifecycle tooling) with hands-on backend and cloud architecture skills, and has hired and grown research engineering teams. Notably, his background in high-throughput scientific pipelines gives him a strong edge in designing robust, performance-sensitive ML systems that bridge prototype and production.
14 years of coding experience
8 years of employment as a software developer
Ph.D., Astronomy, Ph.D., Astronomy at University of Cambridge
Contributions:96 commits, 3 PRs, 39 pushes in 4 years 6 months
scriptingpipelineami
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Tim Staley - Staff Machine Learning Engineer at SentinelOne