At a Glance
- Tasks: Build and scale edge ML infrastructure for Focus cameras and manage deployment pipelines.
- Company: Hudl, a leader in sports technology with a focus on innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Work remotely in a fast-paced environment with great career advancement potential.
- Why this job: Join a dynamic team and make an impact on cutting-edge AI technology.
- Qualifications: Experience in MLOps, strong collaboration skills, and a passion for technology.
The predicted salary is between 63000 - 77000 £ per year.
Hudl is hiring a Senior MLOps Engineer for our Hardware Group to build and scale edge ML infrastructure powering Focus cameras. You will own edge deployment pipelines delivering models to thousands of devices globally and contribute to a platform that compiles models into hardware-specific inference engines.
You will work with Data Scientists, Embedded Engineers and Product Managers to enable robust, scalable deployments, automate testing on production devices, and monitor drift, latency.
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