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Engineering Manager - Machine Learning

London, United Kingdom; United Kingdom (Remote)

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 the Top 100 Inspiring Workplaces.

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.

Ready to join us?

 

We’re hiring an Engineering Manager to join our Applied Machine Learning team to lead our squads across American football and ice hockey. You’ll drive game-changing initiatives using computer vision and deep learning at scale to automatically generate game data, event detection and player tracking - delivering critical, real-time insights directly to coaches during games as well as powering post-game analysis products. Our systems process thousands of games in parallel during peak hours, using models grounded in recent research.

As the Engineering Manager, you’ll:

  • Deliver for customers and manage teams. Directly manage members across two established squads, helping them meet quarterly commitments, resolve unknowns and engage stakeholders to prioritise high-impact deliverables.
  • Drive technical and modeling excellence. Set high standards across both engineering and data science, balancing model precision with execution speed and cost-effectiveness in cloud infrastructure.
  • Solve complex real-world challenges. Lead your team to maintain model accuracy across diverse, real-world camera footage and environmental conditions.
  • Collaborate cross-functionally. Work closely with product stakeholders, cross-functional partners and leaders to align roadmap priorities and resolve dependencies.
  • Cultivate an empowered environment. Foster a high-performing, supportive environment that enables your squads to operate at their highest potential and grow professionally.

Location

Time spent collaborating with your teammates in-office will be a regular part of how you work. We’re currently considering applicants within commuting distance of London. You’ll be expected to work more days in-office than remote, but will have the freedom to coordinate your specific in-office schedule with your team. We're also open to remote candidates in the UK.

Must-Haves

  • A proven leader. You have experience managing teams of individual contributors, including engineers and data scientists, and you love helping teammates grow.
  • Production AI/ML and computer vision experience. You’ve built and deployed machine learning systems and computer vision models at scale in production environments.
  • Balanced between engineering and modeling. You can push data science modeling forward while building scalable software, keeping a sharp eye on system efficiency, speed and cost.
  • A strong communicator. You easily break down complex technical trade-offs for anyone across the company and naturally build strong relationships with cross-functional partners.

Nice-to-Haves

  • Sports tech background. You have experience applying AI, machine learning or computer vision to sports performance or analytics.
  • Real-time systems experience. You’ve built or fine-tuned real-time data processing pipelines or high-volume parallel cloud workloads.

Our Role 

  • 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. But whether you're at the office or working remotely, we'll provide you 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.

Compensation

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We'd like to know how well we're doing to ensure diversity, equity and inclusion in our recruitment processes. To help us reach this goal, we'd appreciate if you'd take our diversity questionnaire. Your voluntary choice to complete it will create a separate, confidential record of your name, where you learned about the role you applied for, and information about protected characteristics (UK: the Equity Act 2010).

This information will be automatically removed from your profile prior to reviewing your application. Your data is kept strictly confidential and won't be used as a part of the selection process. We'll only use it to measure our recruitment activity and to make reasonable adjustments for disabled employees.

The Regulation (EU) 2016/679 and the applicable national data processing regulations (together, the “Applicable Legislation”) for candidates applying to the positions in the EU give rights to individuals in respect of personal data held about them by others and as directed by the above Applicable Legislation Hudl provides you the following information:

  1. Hudl Privacy Policy can be found at https://www.hudl.com/privacy .
  2. Hudl and its affiliates act as data controllers in relation to the personal data Hudl collects in connection with its recruiting and hiring processes, as well as with data subprocessors engaged by Hudl to help manage those processes. Hudl’s headquarters and its sub processes are located in the USA. If you are located outside of the USA, your personal data will be transferred to the USA once you submit it through our careers site.
  3. Diversity information is defined by the DPA as “sensitive”. The information you give will be held on both manual and electronic systems by Hudl.

 

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