ML Research Engineer β€” Health AI & Radar Sensing in London

ML Research Engineer β€” Health AI & Radar Sensing in London

London Full-Time 50000 - 60000 Β£ / year (est.) Home office (partial)
Circadia Health

At a Glance

  • Tasks: Research and develop next-gen ML models for health monitoring using radar sensing.
  • Company: Join Circadia Health, a leader in innovative health technology.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on cutting-edge research and development.
  • Why this job: Make a real-world impact by translating research into practical applications in healthcare.
  • Qualifications: Experience in machine learning and a passion for health tech.

The predicted salary is between 50000 - 60000 Β£ per year.

Circadia Health is seeking an ML Research Engineer to research, design, and deploy next-generation models for our clinical monitoring platform.

You will work on radar-based sensing, integrate EHR data, and push research into production on cloud and edge devices.

Reporting to the Principal ML Engineer, you will experiment with rigorous methods, translate papers into code, and collaborate with clinical and data teams to validate algorithms for regulatory approval and real-world impact.

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ML Research Engineer β€” Health AI & Radar Sensing in London employer: Circadia Health

Circadia Health is an exceptional employer dedicated to transforming healthcare through innovative technology. With a strong focus on employee growth, we offer a collaborative work culture that encourages creativity and professional development, all while making a meaningful impact on patient care. Located in a vibrant area, our team enjoys unique advantages such as flexible working arrangements and access to cutting-edge resources.

Circadia Health

Contact Details:

Circadia Health Recruitment Team

We think you need these skills to ace ML Research Engineer β€” Health AI & Radar Sensing in London

Machine Learning
Radar Sensing
EHR Data Integration
Cloud Computing
Edge Computing
Algorithm Validation
Regulatory Compliance