At a Glance
- Tasks: Build and scale ML infrastructure for smart cameras, managing edge deployment pipelines.
- Company: Hudl, a leader in sports technology with a focus on innovation.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Exciting projects with potential for global reach and career advancement.
- Why this job: Join a dynamic team and make an impact on cutting-edge AI technology.
- Qualifications: Experience in MLOps and strong collaboration skills with tech teams.
The predicted salary is between 59400 - 72600 £ per year.
Hudl is seeking a Senior MLOps Engineer for our Hardware Group to build and scale ML infrastructure powering Focus, our line of smart cameras. You’ll own edge deployment pipelines transporting neural networks to tens of thousands of devices globally and contribute to the platform that optimises trained models for device inference.
You’ll collaborate with Data Scientists, Embedded Engineers and Product Managers to ensure smooth integration of complex features, while driving automation.
Senior MLOps Engineer - Edge AI Deployment & Remote Options employer: Hudl
Hudl is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those in the tech and engineering fields. With a strong emphasis on employee growth, you will have opportunities to mentor others while also enhancing your own skills in a supportive remote environment. The competitive salary and focus on quality assurance within the Applied Machine Learning team make Hudl a rewarding place to advance your career.
