Senior Software Engineer - Clinical AI

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

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 or monitoring in production

Tech Stack

Python Azure Terraform Docker ML Pipelines FHIR / HL7 GitHub Actions

Competitive renumeration package, depending on experience

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.