Senior Software Engineer – Clinical AI

<p><strong>The Opportunity</strong></p><p>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.</p><p><br><br>Have you got what it takes to succeed The following information should be read carefully by all candidates.<br></p><p>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.</p><p><br></p><p><strong>The Role</strong></p><p>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.</p><p><br></p><p><strong>What You'll Do</strong></p><p> Own and extend the backend and ML infrastructure of a production SaMD system</p><p> Design and implement integrations with hospital systems (EHR, HL7/FHIR), including partnerships with major healthcare data platforms</p><p> Build and maintain Python/Azure-based services — APIs, data pipelines, monitoring and audit frameworks</p><p> Write software that meets medical device quality standards, producing artefacts that support regulatory submissions</p><p> Collaborate with clinical, data science, and regulatory stakeholders</p><p> Help define engineering culture and processes as the team grows around you</p><p><br></p><p><strong>What We're Looking For</strong></p><p> 5+ years of professional software engineering experience with a strong Python background</p><p> Proven experience building and operating production services on Azure or AWS</p><p> Comfort with data-heavy systems — pipelines, databases, REST APIs — and a taste for clean architecture</p><p> Strong written communication; able to document work to regulatory audit standard</p><p><br></p><p><strong>Nice to Have</strong></p><p> Experience in a regulated software environment (medical devices, fintech, defence, or similar)</p><p> Familiarity with FHIR/HL7 or clinical EHR systems</p><p> Exposure to ML model deployment xwzovoh or monitoring in production</p><p><br></p><p><strong>Tech Stack</strong></p><p>Python · Azure · Terraform · Docker · ML Pipelines · FHIR / HL7 · GitHub Actions</p><p><br></p><p><strong>What's on Offer</strong></p><p> Competitive renumeration package, depending on experience</p><p> 25 days annual leave + bank holidays</p><p> Access to clinical and academic networks</p><p> Flexible hybrid working, London base</p><p><br></p><p><strong>Growth Path</strong></p><p>As we move through our next funding round and scale clinical deployments, the expectation is that you grow into <strong>Head of Engineering</strong> or equivalent — owning technical strategy, building a team, and sitting at the table for product, regulatory, and commercial decisions.</p>