Our client is a venture-backed AI medtech spinout with academic roots who have just raised significant pre seed investment. They are building software that analyses standard 12-lead ECGs to detect disease before symptoms appear. Their models have been validated across 4 continents and they are progressing through FDA 510(k) and EU MDR clearance.
The Role
An early engineering hire working directly with the Head of Software Engineering on the production platform that puts AI models into clinical workflows. You’ll own meaningful surface area across the full stack — backend services, REST APIs, cloud infrastructure, and clinician-facing web portals — and have real input into technical decisions. No prior medical device experience needed; the regulatory side is something they’ll train you on.
What You’ll Do
- Build and maintain backend services and APIs (Python/Flask or Django) for clinical AI inference and data processing
- Develop clinician and admin web portals
- Manage cloud infrastructure, CI/CD pipelines, IaC, monitoring, and security controls
- Support ML model deployment alongside the AI research team
- Contribute to ECG data ingestion and EHR integrations (FHIR, HL7)
- Work within the software development lifecycle under IEC 62304 and contribute to regulatory documentation
What We’re Looking For
- 2+ years of professional software engineering experience (backend and frontend, production environments)
- Strong Python skills with Flask or Django
- Professional GCP and CI/CD experience
- Solid testing, version control, and code review practice
- BSc/MSc in Computer Science or equivalent
Nice to have
- React/TypeScript frontend experience
- Exposure to regulated software (IEC 62304, ISO 13485) or healthcare data standards (FHIR, HL7, DICOM)
- ML libraries (TensorFlow, PyTorch) or MLOps experience (Vertex, MLFlow)
- Familiarity with cybersecurity principles or GDPR/UK DPA compliance
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