Jacob Moss
Machine Learning Engineer at Humanoid
England, United Kingdom
Summary
👤
Senior🎓
Top SchoolJacob Moss is a Machine Learning Engineer with a PhD from the University of Cambridge and a decade of experience building and deploying ML systems across biotech, finance, medtech and NLP. His academic work specialises in large genetic models and probabilistic/diffusion approaches that embed domain dynamics, and he has translated that research into production pipelines, cloud-scale compute and grant-funded biotech projects. In industry he has delivered everything from protein language model fine-tuning for antibiotic discovery and GPT quantisation on AWS Neuron to algorithmic trading bots and superhuman poker agents, demonstrating a rare blend of theoretical depth and hands-on systems engineering. Comfortable across Python, C++ and cloud infrastructure, he moves models from research to operationalisation and has advised senior executives on responsibly adopting LLMs. Outside work he bakes and sews, a detail that speaks to his patience and design-oriented mindset.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at University of CambridgeUniversity College SchoolUniversity College London
Github Skills (69)
ontologies9
django9
ncbi9
rna-seq8
bayesian-methods8
python8
react8
player8
portal8
probabilistic-programming7
data-lineage7
kallisto7
statistics7
unity3d7
biology7
Programming languages (9)
Github contributions (5)
mossjacob/pcurvepy
Aug 2021 - Nov 2021
Principal curves implementation (Hastie '89) in Python
Contributions:2 reviews, 23 commits, 1 PR in 2 months
principalpythoncurvesnumba
mossjacob/alfi
Oct 2020 - Oct 2022
Contributions:408 commits, 12 PRs, 364 pushes in 1 year 11 months
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