Will Mcintyre-jones
Machine Learning Engineering Lead at Hitachi Rail
Eastbourne, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolWill Mcintyre-Jones is a Machine Learning Engineering Lead with nine years of experience applying statistical modelling, digital signal processing and AI to real-world engineering problems. He has led condition monitoring and NWP-informed projects at Hitachi Rail, developing algorithms that automated defect detection and cut repetitive work by two-thirds. Comfortable across Python, C++ and MATLAB, he builds production services with containerisation and Azure deployment while also prototyping novel solutions—from image-based data extraction to LLM-assisted document pipelines. His background in atmospheric physics (PhD) underpins a strong numerical and scientific modelling mindset that has driven both academic two-fluid models and industrial ML systems. Notably, he achieved a 1000x compute reduction in a calibration workflow and has a track record of turning research-grade code into maintainable, secure products aligned with ISO 27001 ambitions. Based in Eastbourne, UK, he blends hands-on engineering with strategic leadership to bridge research, product and operations.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Meteorology, Doctor of Philosophy - PhD Meteorology at University of ReadingPhysics (Research Placement) MPhys, Physics (Research Placement) MPhys at University of SussexEastbourne College
English, German
Github Skills (2)
openfoam8
fluid2
Programming languages (1)
Github contributions (5)
statisdisc/partitionedShallowWater
Aug 2017 - Aug 2020
Contributions:101 pushes, 1 branch in 3 years
MultiFluidSCM/settings_graphics
Jun 2021 - Sep 2022
Graphical representation of model settings and how they compare to diagnosed settings.
Contributions:2 PRs, 14 pushes, 1 branch in 1 year 2 months
graphicalmodel-settingsrepresentationsettings
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