ML Research Engineer

About the role

Circadia Health is looking for an ML Research Engineer to research, design, and build the next generation of models and algorithms for its clinical monitoring platform. The role involves taking primary ownership of the research roadmap for physiological foundation models that translate raw radar and audio data into clinically meaningful insights. You will be responsible for designing patient activity monitoring systems that fuse contactless sensor data with deep EHR context in a privacy-compliant manner. A core part of this position is owning the development of radar-based bed-exit detection algorithms and validating them against real-world clinical safety requirements. You will also lead experiments in voice-based phenotyping to extract health indicators from audio signals while strictly adhering to data governance policies. The position requires you to turn novel research ideas into production-grade systems that are robust, scalable, and reliable on Circadia's medical devices. You will work closely with clinical teams to ensure that the models you build generalize across diverse hospital environments and patient populations. Ultimately, you will bridge the gap between cutting-edge research and deployable software that directly impacts patient care and clinical workflows.

Key facts

What you'll do

Design intake pipelines that clean radar, audio, and motion data while respecting strict healthcare privacy rules.

Construct bed-exit detection models using radar returns, aligning them with clinical workflows and safety thresholds.

Refine patient activity monitoring by fusing device signals with medication lists and care events from health records.

Build voice-based phenotyping methods that extract health indicators from audio without violating data governance.

Coordinate with signal processing teams to test algorithms under diverse room layouts and patient movement patterns.

Guide data collection strategies with clinicians, defining scenarios that improve model generalization across hospitals.

Support regulatory workflows by documenting experiments, assumptions, and decision trails for audit and review.

Partner with cloud teams to deploy models onto Circadia infrastructure, ensuring performance and stability in production.

Validate hypotheses through controlled experiments, measuring how new models behave against existing clinical baselines.

Ship reliable systems by monitoring live data, handling edge cases, and coordinating updates with device and cloud groups.

Requirements

You hold a degree in a quantitative field and bring three to five years of experience building data products.

You can read research papers and rapidly convert them into working code that runs on resource-constrained hardware.

You have hands-on experience with radar signal processing, audio analysis, or similar sensing modalities.

You understand model training, evaluation, and debugging using clinical or healthcare-related datasets.

You write production-grade code, using version control, testing, and documentation to support maintainable systems.

You communicate clearly with multidisciplinary teams, translating technical details for clinical and engineering audiences.

You are comfortable defining experiments and iterating through failures to arrive at robust model solutions in a regulated environment.

You demonstrate strong ownership by seeing tasks through from design to deployment and post-deployment monitoring.

Nice to have

Experience with health-related regulations and compliance requirements relevant to medical devices.

Practical notes

This role is based in Vauxhall, London, and operates on a full-time schedule. The compensation range is fixed between 70000 GBP and 90000 GBP per year. Candidates must meet the outlined requirements without exception, as the role interfaces with regulated healthcare data and safety-critical systems. Only candidates located in or willing to relocate to the London area should apply due to the on-site nature of device testing and clinical coordination. The position involves collaboration across clinical, engineering, and regulatory teams, requiring consistent attendance during standard working hours. Travel to clinical sites for data collection and validation may be required as part of the role. No visa sponsorship information is provided, so candidates must ensure their right to work in the United Kingdom. Deadlines for application review are not specified, so interested candidates should submit their materials promptly to be considered.