<div class="content-intro"><p>At Hudl, we build great teams.
We hire the best of the best to ensure you’re working with people you can constantly learn from.
You’re trusted to get your work done your way while testing the limits of what’s possible and what’s next.
We work hard to provide a culture where everyone feels supported, and our employees feel it—their votes helped us become one of <a href=" Top 100 Global Most Loved Workplaces</a>.
<br><br>We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights.
That’s why we help teams from all over the world see their game differently.
Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more.
<br><br>Ready to join us?</p> <div style="padding: 56.
25% 0 0 0; position: relative;"><iframe style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border: 0;" src="https://player.
com/video/1095624224?h=9e8cdc9dbe&badge=0&autopause=0&player_id=0&app_id=58479" width="" height=""></iframe></div> <p> </p></div><h2>Your Role</h2> <p>We're hiring a Senior MLOps Engineer for our Hardware Group to build and scale the machine learning infrastructure that powers Focus, our line of smart cameras.
You'll own the edge deployment pipelines that transport neural networks from training clusters to tens of thousands of devices globally, and contribute to the platform that compiles trained models into optimised inference engines for devices like the Jetson Orin, building the "nervous system" for the next generation of automated sports capture.
</p> <p>As a Senior MLOps Engineer, you'll:</p> <ul> <li><strong>Build scalable Edge infrastructure.
</strong> You'll design, develop, and maint.