Empowering athletes with performance analysis tools
Hudl is a leading performance analysis platform for sports teams, providing tools that empower athletes from amateur to professional levels. Headquartered in Lincoln, NE, Hudl has raised $118.8 million in Series C funding and serves over 200,000 teams globally, including elite organizations in footb...
Hudl offers unlimited vacation time, flexible working arrangements, and company-wide timeout days to promote work-life balance. Employees also benefit...
Hudl's culture is centered around empowering teams through technology, focusing on grassroots initiatives while also catering to elite sports organiza...
Hudl • London & Remote (U.K.)
Hudl is hiring an Engineering Manager for their MLOps & Edge Infrastructure team to lead a new squad in London. You'll work with AI technologies and MLOps infrastructure to enhance autonomous tracking features. This role requires strong leadership and technical skills in AI and machine learning.
You have a strong background in engineering management, with experience leading teams in the AI and machine learning space. You understand the intricacies of MLOps and have a passion for bridging the gap between research and practical applications. Your leadership style is collaborative, and you thrive in environments where you can mentor and guide your team while also contributing technically. You are comfortable with hands-on work, spending a portion of your time architecting solutions and writing tooling. You value a supportive culture and are committed to fostering an inclusive environment where all team members can thrive.
Experience with edge infrastructure and smart camera technologies is a plus. Familiarity with agile methodologies and cross-functional collaboration will help you succeed in this role. You are proactive in identifying challenges and removing friction in processes, ensuring smooth operations between teams.
As the Engineering Manager, you will lead a specialized team focused on MLOps infrastructure that powers innovative features like Tactical View and autonomous tracking. You will be responsible for shaping the team's roadmap and ensuring alignment with the broader AI/ML organization. Your role will involve strategic planning, resource allocation, and performance management, as well as hands-on technical contributions. You will collaborate closely with the Embedded squad in the Netherlands to enhance the integration of AI models with device capabilities. Your leadership will be crucial in driving the team's success and fostering a culture of continuous learning and improvement.
Hudl provides a supportive work environment where you can grow your career alongside talented individuals. We prioritize work-life balance and offer flexible working arrangements, including remote options. Our commitment to diversity and inclusion is reflected in our annual reports, and we actively work to create a workplace where everyone feels valued. Join us to make a lasting impact in the sports technology industry, helping teams see their game differently and reach new heights.
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