ML / Neuro-symbolic Engineer
Build the reasoning core: a learned graph model paired with an auditable symbolic layer grounded in SNOMED CT and ICD-11.
We're Auracare: a small team teaching machines to reason about health, for people at home and clinicians in the room. It's early, it's hard, and we won't pretend otherwise. If that sounds like a good time rather than a red flag, keep reading.
You'll own real work from day one, talk to the founders because there's no one to route around, and ship without collecting a stack of sign-offs. We're building the hard parts ourselves, not wrapping someone else's model, and we take getting safety right seriously, because there are actual people on the other end. Everything else, we try not to.
Titles are a rough guide, not a checklist. Close enough? Interestingly different? Email us anyway. We hire people, not job descriptions.
Build the reasoning core: a learned graph model paired with an auditable symbolic layer grounded in SNOMED CT and ICD-11.
Own the surfaces Auracle lives on: a shared Kotlin Multiplatform core and Svelte web, from device connections to the daily check-in.
Turn wearables, apps, health platforms and our own devices into clean, comparable signals for the twin and the clinical core. A big part of this is automating personal data requests and streamlining user sign-on, so consent and privacy are built in from the start.
Build the closed hardware-to-software link behind Auracare: our own recording stethoscope, BP monitor and otoscope, streaming clinical-grade readings straight into the reasoning core.
Hold the line between wellness and clinical decision support: safety framing, evidence generation and the regulatory path ahead for Auracare.
If you're great at something we forgot to list, tell us the problem you'd want to work on. Worst case, we say no and you've written one short email.
Get in touchhello@auracare.org.uk
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