At a Glance
- Tasks: Own and optimise production ML systems, building end-to-end pipelines and deployment infrastructure.
- Company: Circadia Health, a leader in healthcare technology with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on security and privacy in healthcare.
- Why this job: Join a mission-driven team making a real difference in healthcare through cutting-edge ML technology.
- Qualifications: Experience in ML Ops, strong understanding of CI/CD, and collaboration skills.
The predicted salary is between 63000 - 77000 £ per year.
Circadia Health is seeking an experienced ML Ops Engineer to own the infrastructure and lifecycle of our production ML systems.
You will build and maintain end-to-end ML pipelines, deployment infrastructure, and monitoring to keep predictive models accurate and reliable across cloud and edge environments.
You will collaborate with ML, data, and clinical teams to ensure reproducibility, CI/CD for models, and robust observability while maintaining healthcare-grade security and privacy standards.
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ML Ops Engineer: Production ML Pipelines & Edge Deployments 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.
