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.
#J-18808-Ljbffr
As a ML Ops Engineer: Production ML Pipelines & Edge Deployments, you will play an important part at Circadia Health in Greater London, England, United Kingdom.
The advertised compensation is 90.000 - 130.000.
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the ML Ops Engineer: Production ML Pipelines & Edge Deployments role in the description above.