ML Research Engineer
About the Role
LIFEGUARD Technologies is seeking an ML Research Engineer to develop AI that predicts the survival of wounded soldiers before they reach a hospital. This role involves building a multimodal CNN-LSTM wound trajectory engine from scratch, utilizing unique real-world conflict wound data, including video and clinical time-series data. This is a government-funded program with a 28-month roadmap, aiming to take the system from proof-of-concept to a field-demonstrated prototype operating offline on hardware.
Responsibilities
- Own the technical core end-to-end.
- Design multimodal architectures.
- Integrate XAI.
- Manage edge deployment.
- Implement federated learning across geographically separated data nodes.
- Handle regulatory documentation to UK standards.
Requirements
- Proven experience with CNN and LSTM / Transformer models on clinical or scientific time-series data.
- Multimodal fusion experience (image + structured data) is a strong advantage.
- Hands-on experience with PyTorch, ONNX Runtime, and XAI (SHAP/LIME/Captum).
- Ability to work directly with clinicians.
- PhD or MSc preferred.
- UK SC clearance eligibility preferred but not a requirement.
Compensation
- £70,000 – £85,000 base salary.
- 0.5%–1.0% EMI equity.
Location
- Remote/hybrid UK.
Additional Information
This role offers a broader opportunity across a portfolio of health and med-tech ventures, building AI that saves lives across oncology, defense medicine, and emergency care.
To Apply
Email cbdo@rasalingham.com with your CV and a brief description (two or three sentences) of your most relevant multimodal or temporal modeling work.