Jay Rainey is a Gen AI research engineer based in Cambridge with 13 years of experience building ML-driven systems, data pipelines, and production software for both enterprise and research contexts. He combines deep academic rigour—a PhD and postdoctoral work in digital health and HCI—with hands-on engineering across Python, C++, and web stacks to turn sensing and multimodal data into practical digital measures and products. At Newcastle he led teams that automated device data flows and prototyped patient-facing apps, and more recently drove machine learning engineering at Samsung before joining NatWest to apply generative AI at scale. He has a track record of shipping cross-disciplinary projects deployed globally (e.g., TalkFutures) and mentoring students, reflecting a talent for translating qualitative research insights into robust, usable systems. Notably, his work often blends participatory design with production-grade pipelines—making complex health and social data actionable without exposing sensitive details.
13 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BSc), Computer Science with industrial placement, Bachelor of Science (BSc), Computer Science with industrial placement at Cardiff University / Prifysgol Caerdydd
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Newcastle University
Contributions:2 reviews, 38 commits, 12 PRs in 10 months
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Jay Rainey - Gen AI Research Engineer at NatWest Group