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A technology company in London is seeking an Engineering Manager for their Applied Machine Learning team. You will lead a team of engineers and data scientists to deliver impactful AI solutions for sports. The ideal candidate has leadership experience and expertise in AI/ML systems. Enjoy flexible work arrangements and a supportive environment that fosters growth.
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.
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. 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 looking for an Engineering Manager 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.
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.
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. We also track our inclusion efforts in annual reports. Please don’t hesitate to apply—we’d love to hear from you.
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Have you agreed to any post-employment restrictions, such as non-competition or non-solicitation restrictions, with your current or any prior employer? *
Have you had experience of managing multidisciplinary teams? *
Have you built, maintained and monitored complex AI/ML models and systems in production at scale? *
Do you have experience in several of the following areas: machine vision (classical and deep learning), multi-view geometry, GPU accelerators, inference on edge devices, LLM’s models, real-time systems, and signal processing. *
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 part of the selection process. We'll only use it to measure our recruitment activity and to make reasonable adjustments for disabled employees.
U.S. Equal Opportunity Employment Information (Completion is voluntary).
Individuals seeking employment at Hudl are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Completion of the form is voluntary and will not be considered in the hiring process. Any information provided will be kept confidential.
The Regulation (EU) 2016/679 and applicable data regulations (the “Applicable Legislation”) apply to candidates applying to roles in the EU. Hudl provides you the following information: Hudl and its affiliates act as data controllers in relation to personal data collected in recruiting and hiring processes, and data subprocessors may be engaged. If you are located outside the USA, your personal data may be transferred to the USA. Diversity information is considered sensitive and will be stored accordingly.