At a Glance
- Tasks: Own the ML infrastructure and run production pipelines for our clinical monitoring platform.
- Company: Join Circadia Health, a leader in healthcare technology innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on cutting-edge healthcare solutions.
- Why this job: Make a real difference in healthcare by optimising ML models and infrastructure.
- Qualifications: Experience in ML operations and strong collaboration skills are essential.
The predicted salary is between 63000 - 77000 £ per year.
Circadia Health is seeking an ML Ops Engineer to own the end-to-end ML infrastructure for our clinical monitoring platform.
You will run production ML pipelines, manage deployments across cloud and edge, and ensure reproducibility and observability of models.
You will collaborate with ML, data, and firmware teams to maintain robust CI/CD, experiment tracking, and secure data handling in healthcare environments, while optimizing compute and cost.
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ML Ops Engineer — Production ML Pipelines & Monitoring employer: MedTech Innovator
Circadia Health is an exceptional employer, offering a dynamic work environment where innovation meets healthcare. With a strong focus on employee growth, we provide opportunities for professional development and collaboration with leading experts in the field. Our commitment to meaningful work in health AI ensures that you will be part of a team making a real impact on patient care, all while enjoying the benefits of a supportive and forward-thinking culture.
StudySmarter Expert Advice🤫
We think this is how you could land ML Ops Engineer — Production ML Pipelines & Monitoring
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We think you need these skills to ace ML Ops Engineer — Production ML Pipelines & Monitoring
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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