Job Description
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. 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?
Your Role
We’re hiring a Senior Data Scientist to join our Athlete Performance team in London. You’ll be partnering with world class sports scientists and engineering teams to build algorithms and derive insights from wearable sensor, optical tracking and GPS data that directly impact how athletes train and compete, from local high schools to professional teams.
We have a flexible hybrid working model, however this role is based in our London office.
As a Senior Data Scientist, you’ll:
- Create and improve algorithms. You’ll use your expertise in signal processing to run mathematical and statistical operations on raw sensor and GPS data. Your work will help us derive high-value metrics around human movement classification and physical load quantification , turning raw data into actionable insights for our users.
- Deliver insights at scale. You’ll build and deploy models that provide contextualized data to sports scientists, coaches and recruiters
- Collaborate across teams. You’ll work closely with internal product and engineering teams to integrate optical tracking and wearable data, ensuring our products meet the highest standards.
- Lead high-impact projects. You’ll own initiatives that meet quarterly goals and help shape the future of athlete performance tracking at Hudl.
Must-Haves
- Wearable and GPS expertise. You have extensive experience working with wearable devices, IMU sensors, GPS tracking and biometric data.
- Strong mathematical background. You’re highly skilled in statistical operations and physics-based calculations used to analyze large datasets.
- Proven track record. You’ve built, maintained and monitored complex AI or ML models in a production environment at scale. You have experience with model observability and managing data drift to ensure long-term performance. You're also comfortable with CI/CD for ML (like MLflow or TFX) and know how to write effective unit tests for stochastic processes. You have a background in biomechanical modeling and signal processing.
- Product-focused. You understand how to translate raw data into actionable insights that solve real problems for coaches and athletes.
Nice-to-Haves
- Subject matter expertise. You have a deep understanding of biomechanics or exercise physiology and know how to apply these domains to create meaningful performance insights for athletes.
- Knowledge of foundational models. You have experience fine-tuning visual or large language models for new domains.
- Real-time systems experience. You’re comfortable working with models designed for low-latency environments.
- Advanced degree. A PhD in biometrics, mathematics or a related field is a plus.
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
The base salary range for this role is displayed below—starting salaries will typically fall near the middle of this range.
We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices.
This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion.
Base Salary Range
£66,000 - £111,000 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.
We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don’t hesitate to apply—we’d love to hear from you.
Privacy Policy
Hudl
1 job posted
About the job
Mar 5, 2026
Apr 4, 2026
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