At a Glance
- Tasks: Manage ML systems and build production pipelines for clinical monitoring.
- Company: Circadia Health, a leader in healthcare technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and patient outcomes.
- Why this job: Make a real difference in patient care using advanced machine learning technology.
- Qualifications: Experience with ML workflows, Apache Airflow, and AWS deployment.
The predicted salary is between 80000 - 100000 £ per year.
Circadia Health is looking for an ML Ops Engineer to manage the infrastructure and lifecycle of the machine learning systems powering our clinical monitoring platform.
You will play a key role in building and maintaining production ML pipelines crucial for patient outcomes.
Your responsibilities include orchestrating ML workflows with Apache Airflow and deploying models on AWS.
This high-ownership role offers the chance to directly impact patient care through advanced technology.
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We think you need these skills to ace ML Ops Engineer — Reliable Production ML Pipelines in London
ML Ops
Infrastructure Management
Machine Learning Systems
Production ML Pipelines
Apache Airflow
Model Deployment
AWS
