The Opportunity
We are an Imperial College London med tech spinout building AI-powered clinical decision-support tools certified as Software as a Medical Device (SaMD). Our platform uses real-world EHR data to identify patients at risk of preventable harm — giving NHS clinicians time to act.
Have you got what it takes to succeed The following information should be read carefully by all candidates.
We are a small, high-ownership team operating at the intersection of clinical AI and healthcare infrastructure. This is a foundational engineering hire with a clear path to Head of Engineering as we scale.
The Role
You will own and shape the technical core of a live clinical AI platform — working across backend services, ML infrastructure, and hospital data integrations. You will have a direct line to the CTO and CEO from day one, with real influence over architectural decisions on a system processing real patient data across NHS trusts.
What You’ll Do
Own and extend the backend and ML infrastructure of a production SaMD system
Design and implement integrations with hospital systems (EHR, HL7/FHIR), including partnerships with major healthcare data platforms
Build and maintain Python/Azure-based services — APIs, data pipelines, monitoring and audit frameworks
Write software that meets medical device quality standards, producing artefacts that support regulatory submissions
Collaborate with clinical, data science, and regulatory stakeholders
Help define engineering culture and processes as the team grows around you
What We’re Looking For
5+ years of professional software engineering experience with a strong Python background
Proven experience building and operating production services on Azure or AWS
Comfort with data-heavy systems — pipelines, databases, REST APIs — and a taste for clean architecture
Strong written communication; able to document work to regulatory audit standard
Nice to Have
Experience in a regulated software environment (medical devices, fintech, defence, or similar)
Familiarity with FHIR/HL7 or clinical EHR systems
Exposure to ML model deployment xwzovoh or monitoring in production
Tech Stack
Python · Azure · Terraform · Docker · ML Pipelines · FHIR / HL7 · GitHub Actions
What’s on Offer
Competitive renumeration package, depending on experience
25 days annual leave + bank holidays
Access to clinical and academic networks
Flexible hybrid working, London base
Growth Path
As we move through our next funding round and scale clinical deployments, the expectation is that you grow into Head of Engineering or equivalent — owning technical strategy, building a team, and sitting at the table for product, regulatory, and commercial decisions.
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