Machine Learning Engineer II

We're looking for a Machine Learning Engineer II to join our Applied Machine Learning team and deliver new experiences and valuable insights to our coaches, athletes and fans across Hudl. You'll drive game‑changing initiatives that use cutting‑edge computer vision and deep learning at scale to shape the future of sports, from professional teams to local high schools. At Hudl, ML Engineers

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• Deliver for customers at scale. You'll contribute to ML models and systems on both cloud and edge environments, scaling to thousands of simultaneous sports matches.
  
• Collaborate. You'll work in a cross‑functional team with Data Scientists and Engineers to deliver end‑to‑end for our customers.
  

For this role, we’re currently considering candidates who live within a commuting distance of our office in London. With our flexible work policy, there are no current requirements for the number of days you come to the office.

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• Technical expertise. Hands‑on experience in C++, Python, and several of the following areas: Kubernetes, PyTorch, MLOps (automated re‑training, drift monitoring), TensorRT, Nvidia DeepStream/Gstreamer, and AWS.
  
• A proven track record. You know how to focus on products, delivering impactful AI/ML products through close collaboration with partners.
  
• Strong communicator. You can easily and clearly express yourself and convey technical concepts and trade‑offs to cross‑functional stakeholders.
  
• Growth mindset. You pick up new technologies and domains on the job, appreciate ambiguous work that has many possible implementation options, and balance quality, consistency and value to customers.
  

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• Sports industry experience. If you've used AI/ML in sports to generate data and/or create insights, that's a plus.
  
• Video experience. You know how to run video encoding, decoding, and transmission at scale (e.g. HLS, WebRTC, and FFMPEG).
  
• Accelerator experience. You've developed GPU kernels and/or ML compilers (e.g., CUDA, OpenCL, TensorRT Plugins, MLIR, TVM, etc).
  
• Real‑time experience. You've optimized systems to meet strict utilization and latency requirements with tools such as Nvidia NSight.
  
• Embedded experience. You've used embedded SoCs, e.g., Nvidia Jetson, Qualcomm, etc.
  
• Foundational models experience. You've fine‑tuned visual language models or large language models for new domains and know how to apply them to novel GenAI applications.
  
• Embedded experience. When it comes to optimizing, deploying and monitoring ML models for SoCs e.g. Nvidia, Qualcomm, etc., you know how it all works.
  

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 Newsweek’s Top 100 Global Most Loved Workplaces.

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• Champion work‑life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company‑wide holidays and timeout (meeting‑free) days, remote work options and more) so you can enjoy your personal life too.
  
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
  
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
  
• Provide an environment to help you succeed. We’ve invested in our offices, designing incredible spaces with our employees in mind. Whether you’re at the office or working remotely, we’ll provide the tech you need to do your best work.
  
• Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees— but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.
  

The base salary range for this role is displayed below—starting salaries will typically fall near the middle of this range.

Base Salary Range £68,000 - £85,000 GBP. Inclusion at Hudl. Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, 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. But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports.