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9 days ago
Requirements and responsibilities
Neuroly is a live clinical care platform used by a small set of ABI care organisations - logging seizures, medications, fluid balance, sleep, and physiological signals for people with acquired brain injuries in community care.We're now preparing to build something that has never existed: the world's first federated AI model for seizure prediction in community ABI care.Using NVIDIA FLARE, we'll train across multiple UK care homes without patient data ever leaving each site — outputting a seizure risk score 6–24 hours before an event occurs, for people who can't advocate for themselves.We're applying for Innovate UK grant funding (£350k) and are looking for a Lead ML Engineer to join as an early team member.What the role involves: Federated learning model architecture and training pipeline (NVIDIA FLARE) — Multivariate clinical time-series modelling (PyTorch)GDPR-compliant data infrastructure (Supabase/PostgreSQL)Co-authorship on a peer-reviewed publicationWhat we're offering: Equity stake in a company with a genuine data moat and grant-backed runwayThe chance to build something that will prevent seizures in people who have already had their lives turned upside downRemote-first, flexible, early-stageYou'll shape the technical direction entirelyIf you have a background in federated learning, clinical AI, or time-series modelling, and you want your work to matter — I'd love to talk.Please DM me.
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