Jonny Brooks-bartlett is a Senior Machine Learning Engineer based in London with 11 years of experience applying statistical modelling and production ML to high‑scale consumer platforms. He has led algorithmic efforts at Spotify and Deliveroo, delivering end-to-end pipelines, containerised deployments on AWS SageMaker, and ranking models that materially increased profit and orders. His background includes academic research at Oxford on nonlinear Kalman filters for biological data—work that produced open-source contributions in Julia and a Python visualization toolkit—bringing rigorous probabilistic methods to product problems. A proven communicator, he’s presented ML and experiment design at industry conferences and mentored teams across research and product organisations. Notably, he blends deep mathematical training with practical CI/CD and MLOps experience, making him comfortable moving models from prototype to robust, tested production services.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Mathematical Biology, Doctor of Philosophy (Ph.D.), Mathematical Biology at University of Oxford
Master's Degree, Mathematics, 1st Class, Master's Degree, Mathematics, 1st Class at University of Southampton
Contributions:75 pushes, 1 branch in 1 year 3 months
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Jonny Brooks-bartlett - Senior Machine Learning Engineer at Spotify