Job Overview
This Series B HealthTech company is building AI that helps radiologists and clinicians detect diseases earlier and more accurately. Their technology is already deployed in NHS trusts and private hospitals across the UK, analysing thousands of scans daily. The impact is measurable: faster diagnoses, earlier interventions, better outcomes. They need an AI Engineer to own the backend systems that power their diagnostic models. You'll work on everything from model serving infrastructure to data pipelines to the APIs that integrate with hospital systems. This is healthcare, so reliability and security aren't negotiable — but neither is speed of iteration. The team is a mix of world‑class ML researchers, experienced engineers, and clinical advisors. They move fast for a regulated industry, shipping weekly while maintaining the rigour that healthcare demands. If you want to work on AI that genuinely matters, this is one of the few places where that's actually true.
Responsibilities
- Build and maintain the backend infrastructure that serves diagnostic AI models in production
- Design APIs and integration layers that connect AI systems with hospital PACS and EHR systems
- Optimise model inference for latency and throughput — clinicians can't wait
- Build data pipelines that handle sensitive medical imaging data with appropriate governance
- Work closely with ML researchers to productionise new models and capabilities
- Ensure systems meet healthcare compliance requirements (NHS DTAC, GDPR, ISO 27001)
Qualifications
- A strong backend engineer with 3+ years of experience building production systems.
- Hands‑on experience with ML model serving and inference optimisation.
- Comfortable with Python and modern backend frameworks.
- Experience with cloud infrastructure (AWS/GCP) and containerisation.
- Understanding of healthcare data standards (DICOM, HL7, FHIR) is a plus, but not required.
- Motivated by impact — you want your work to matter beyond metrics
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