Overview

We're looking for a Senior MLOps Engineer to join our team and deliver new experiences and valuable insights to our coaches, athletes and fans. You\'ll help us build and deploy game-changing initiatives that use cutting-edge computer-vision and deep learning at scale to shape the future of sports at every level, from professional teams to local high schools.

Responsibilities

• Delivering for customers at scale. Optimise and deploy ML models and systems on both cloud and edge environments, scaling to thousands of simultaneous sports matches.
• Leading projects. You\'ll own the work to deliver high-impact results for customers and the business, all in service of your team\'s quarterly goals.
• Collaboration. Work closely with other teams and cross-functional leaders to deliver projects in small increments, ensuring our products meet the highest standards.
• Support your team. Optimise your team\'s ML lifecycle across optimisation, deployment and monitoring, so your team can have more impact, faster.

For this role, we\'re currently considering candidates who live within a commuting distance of our office in London. But with our flexible work policy, there aren\'t any current requirements for the number of days you come to the office.

Must Haves

• Technical expertise. You have extensive experience in C++/Python, and several of the following areas: Kubernetes, Nvidia Jetson, and AWS (or other cloud services). Experience with TensorRT and Nvidia DeepStream would also be a plus.
• A product focus. Your proven track record of delivering impactful AI/ML products with close collaboration with product is impressive.
• System experience. When it comes to building, maintaining and monitoring complex AI/ML systems in production at scale, you\'re a pro.

Nice to have

• Sports industry experience. If you\'ve used AI/ML in sports to generate data and/or create insights, that\'s a plus.
• Deeper systems knowledge. Extra experience with any of the following would be an asset: developing GPU kernels and/or ML compilers (e.g. CUDA, OpenCL, TensorRT Plugins, MLIR, TVM, etc); optimizing systems to meet strict utilization and latency requirements with tools such as Nvidia NSight; and/or you\'ve worked with embedded SoCs (e.g. Nvidia, Qualcomm, etc.).

Benefits and Culture

• Champion work-life harmony. Flexible vacation time, holidays and timeout (meeting-free) days, remote work options and more.
• Guarantee autonomy. Open, honest culture; you\'ll own your work and have the agency to try new ideas.
• Encourage career growth. Resources and opportunities for professional development.
• Provide an environment to help you succeed. We\'ve invested in our offices and will provide you with the tech you need whether you\'re in the office or remote.
• Support your wellbeing. Location-based benefits may include medical and retirement benefits, plus resources like our Employee Assistance Program and employee resource groups.

Inclusion at Hudl

Hudl is an equal opportunity employer. We\'ll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities. We also track our inclusion efforts in annual reports and recognise imposter syndrome as real. Please don\'t hesitate to apply—we\'d love to hear from you.

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