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 with cutting-edge hardware and contribute to global deployments.
- Why this job: Join a dynamic team and make an impact in the world of edge AI.
- 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.
Senior MLOps Engineer - Edge AI & Hardware (Remote UK) in London employer: Tamarind Intelligence
BLP Digital is an exceptional employer, offering a dynamic work culture where engineers are empowered to solve real enterprise problems with cutting-edge AI technology. With opportunities for rapid personal and professional growth in a high-growth startup environment, employees enjoy the autonomy to own customer engagements from start to finish, all while collaborating with a team of top-tier talent. Located in London, our new office provides a vibrant setting for innovation and creativity, making it an ideal place for those looking to make a meaningful impact.
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We think you need these skills to ace Senior MLOps Engineer - Edge AI & Hardware (Remote UK) in London
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