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 (58)
edtech10
django9
traceability9
react8
python8
statistics8
portal8
algorithm8
ontologies8
multiplayer7
probabilistic-programming7
probabilistic-reasoning7
multimodal7
data-lineage7
data-versioning7
Programming languages (9)
Github contributions (5)
JCobbles/trangp
Mar 2020 - Jun 2020
Contributions:117 pushes, 8 branches in 3 months
mossjacob/pyslingshot
Sep 2021 - Oct 2022
Python implementation of the Slingshot pseudotime algorithm
Contributions:2 reviews, 44 commits, 6 PRs in 1 year 1 month
python
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