Liam Coatman
Machine Learning Engineer at Cerberus Technology Solutions
England, United Kingdom
Summary
👤
Senior🎓
Top SchoolLiam Coatman is a Machine Learning Engineer with a decade of experience building production ML systems and backend infrastructure across fintech and AI consultancies. He progressed from academic astrophysics (PhD, Cambridge) into industry roles at Faculty, Starling Bank and now Cerberus Technology Solutions, leading teams and shipping scalable models in regulated and research-driven environments. Liam combines deep statistical grounding with hands-on engineering—automating ML pipelines, deploying robust services, and translating complex research into operational products. Notably, his early background in astrophysics and a history of mentoring and fellowship teaching suggest a strong capability for explaining technical concepts and guiding cross-disciplinary teams.
9 years of coding experience
7 years of employment as a software developer
Master of Physics with Honours Physics Physics, Master of Physics with Honours Physics Physics at The University of EdinburghDoctor of Philosophy (PhD) Astrophysics, Doctor of Philosophy (PhD) Astrophysics at University of Cambridge
Stackoverflow
68reputation
13kreached
1answer
1question
Github Skills (40)
sanic10
python9
jupyterlab9
api-server9
jupyterlab-extension9
nunjucks9
python-web9
python-data9
jupyter-notebook9
http-server8
pandas8
scikit-learn8
asgi8
notebook8
matplotlib8
Programming languages (3)
Github contributions (5)
tomcatling/black-nb
Feb 2019 - Jul 2021
Runs black on code cells in a Jupyter notebook
Contributions:5 reviews, 85 commits, 57 PRs in 2 years 6 months
jupyterlab-extensionjupyter-notebooknotebookjupyterlabruns
liamcoatman/dotfiles
Apr 2020 - Dec 2022
Contributions:6 pushes in 2 years 8 months
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