Matthew Shelley
Machine Learning Engineer at THG Ingenuity
Manchester, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMatthew Shelley is a Machine Learning Engineer with a decade of experience who moved from a PhD in nuclear physics into applied ML and search optimisation at THG/THG Ingenuity. He has a strong track record of turning research-grade modelling skills into production improvements—proposing experiments that delivered measurable revenue uplifts and integrating learning-to-rank models and LLM-enriched product attributes into search stacks. Equally comfortable in numerical modelling, Bayesian methods and software engineering, he has published research, lectured graduate students, and built tooling that automates attribute selection to boost conversion. His background in experimental physics gives him a rigorous approach to data, uncertainty and edge-case handling that informs robust ML pipelines and explainability work. Based in Manchester, he combines proficiency across Python, Java, XGBoost and modern deployment practices with a curiosity for improving computer science fundamentals and production impact.
10 years of coding experience
3 years of employment as a software developer
Reigate Grammar SchoolDoctor of Philosophy - PhD Nuclear Physics, Doctor of Philosophy - PhD Nuclear Physics at University of York
Spanish, English, French
Github Skills (4)
theory6
density-functional-theory5
git-repository5
typescript1
Programming languages (1)
Github contributions (5)
mgeshelley/etf
Mar 2019 - May 2021
Contributions:124 pushes in 2 years 3 months
mgeshelley/gpe_iterative
Jul 2018 - Sep 2022
Contributions:5 pushes, 1 branch in 4 years 1 month
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