Nathan Hartland
Senior ML Engineer at Picnic Technologies
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolNathan Hartland is a Senior ML Engineer based in Amsterdam with 12 years of experience applying physics-grade quantitative thinking to production machine learning and demand forecasting. Trained as a theoretical physicist (PhD, Edinburgh), he transitioned from LHC phenomenology and PDF determinations to building geospatial demand-forecasting, fleet optimisation and large-scale ML pipelines at companies like Dott, TMNL and Picnic. He blends probabilistic modeling (PyMC3 / NumPyro), JAX, operational research and cloud-native tooling (GCP, Kubeflow, BigQuery) to push models from research into reliable production. His background in high-performance collider computation informs a rigorous approach to uncertainty quantification and scalable model architectures. Known for running workshops and a machine learning journal club, he communicates complex ideas clearly to engineers and stakeholders. Outside the obvious, he leverages scientific publication experience to structure reproducible, auditable ML workflows in industry settings.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Theoretical and Mathematical Physics, Doctor of Philosophy - PhD Theoretical and Mathematical Physics at The University of EdinburghMaster of Physics - MPhys Physics, Master of Physics - MPhys Physics at University of Southampton
English, Dutch
Stackoverflow
11reputation
624reached
0answers
1question
Github Skills (87)
cellular-automata10
particle-physics10
distributions10
physics10
love2d10
metis10
procedural-generation10
astar9
skeleton9
prediction-model9
python9
computational-geometry9
lua9
grid9
geometry9
Programming languages (8)
Github contributions (5)
nhartland/forma
Jan 2018 - Jun 2022
A Lua toolkit for computational geometry on a grid
Contributions:5 releases, 248 commits, 37 PRs in 4 years 6 months
astarluacomputational-geometrygeometrycomputational
nhartland/love-build
Apr 2020 - Jun 2022
GitHub Action for building a LÖVE Project
Contributions:8 releases, 1 review, 131 commits in 2 years 2 months
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