At a Glance
- Tasks: Join us as a Senior MLOps Engineer to optimise and deploy ML models for sports.
- Company: Hudl is a leading sports technology company, helping teams see their game differently.
- Benefits: Enjoy flexible work options, generous vacation time, and a supportive work culture.
- Why this job: Be part of a team that shapes the future of sports with cutting-edge technology.
- Qualifications: Expertise in C++/Python and experience with AI/ML systems at scale are essential.
- Other info: We value inclusion and encourage all candidates to apply, regardless of background.
The predicted salary is between 48000 - 84000 £ per year.
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.
Your Role
We’re looking for a Senior MLOps Engineer to join our team and deliver new experiences and valuable insights to our coaches, athletes and fans. You’ll drive game-changing initiatives that use cutting-edge computer-vision and deep learning at scale to shape the future of sports at every level, from professional teams to local high schools. As a Senior MLOps Engineer, your priorities will include:
- Delivering for customers at scale. Optimise and deploy ML models and systems on both cloud and edge environments, scaling to thousands of simultaneous sports matches.
- Leading projects. You’ll own the work to deliver high-impact results for customers and the business, all in service of your team’s quarterly goals.
- Collaboration. By working closely with other teams and cross-functional leaders to deliver your projects in small increments, you’ll ensure our products meet the highest standards.
- Support your team. You’ll optimize your team’s ML lifecycle across annotation, training, deployment and monitoring, so your team can have more impact, faster.
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.
Must Haves:
- Technical expertise. You have extensive experience in C++/Python, and several of the following areas: Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson and AWS.
- A product focus. Your proven track record of delivering impactful AI/ML products with close collaboration with product is impressive.
- System experience. When it comes to building, maintaining and monitoring complex AI/ML systems in production at scale, you’re a pro.
Nice to haves:
- Sports industry experience. If you’ve used AI/ML in sports to generate data and/or create insights, that’s a plus.
- Deeper systems knowledge. Extra experience with any of the following would be an asset: developing GPU kernels and/or ML compilers (e.g. CUDA, OpenCL, TensorRT Plugins, MLIR, TVM, etc); optimizing systems to meet strict utilization and latency requirements with tools such as Nvidia NSight; and/or you’ve worked with embedded SoCs (e.g. Nvidia, Qualcomm, etc.).
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.
Inclusion at Hudl
Hudl is an equal opportunity employer. Through our actions, behaviours 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.
Senior MLOps Engineer employer: Hudl
Contact Detail:
Hudl Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior MLOps Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in MLOps and AI/ML technologies, especially those mentioned in the job description like Kubernetes and TensorRT. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience in optimising ML models for both cloud and edge environments. Be prepared to discuss specific projects where you've successfully scaled systems to handle high loads, as this is a key requirement for the role.
✨Tip Number 3
Highlight any collaborative projects you've worked on, especially those involving cross-functional teams. Emphasising your ability to work well with others will resonate with Hudl's culture of teamwork and support.
✨Tip Number 4
If you have any experience in the sports industry or using AI/ML in sports contexts, make sure to bring that up. It can set you apart from other candidates and show your passion for the field, aligning with Hudl's mission.
We think you need these skills to ace Senior MLOps Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C++/Python and any relevant technologies like Kubernetes, TensorRT, or AWS. Use specific examples of projects where you've delivered impactful AI/ML products.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sports and how your technical skills can contribute to Hudl's mission. Mention any experience you have in the sports industry and how it aligns with the role.
Showcase Collaboration Skills: Emphasise your ability to work in cross-functional teams. Provide examples of how you've collaborated with product teams to deliver high-impact results, as this is crucial for the Senior MLOps Engineer role.
Highlight Continuous Learning: Mention any professional development courses or certifications you've completed, especially those related to AI/ML. This shows your commitment to growth, which aligns with Hudl's values.
How to prepare for a job interview at Hudl
✨Showcase Your Technical Skills
As a Senior MLOps Engineer, you'll need to demonstrate your expertise in C++/Python and relevant technologies like Kubernetes and AWS. Be prepared to discuss specific projects where you've optimised and deployed ML models, highlighting the impact of your work.
✨Emphasise Collaboration
Hudl values teamwork, so be ready to share examples of how you've collaborated with cross-functional teams. Discuss how you’ve led projects and worked closely with product teams to deliver high-impact results, showcasing your ability to communicate effectively.
✨Demonstrate Your Product Focus
Highlight your experience in delivering AI/ML products that have made a difference. Talk about your approach to understanding customer needs and how you’ve used data to drive decisions, ensuring that your contributions align with business goals.
✨Prepare for Cultural Fit Questions
Hudl prides itself on its supportive culture. Be ready to discuss how you align with their values, such as work-life harmony and lifelong learning. Share your thoughts on how you can contribute to a positive team environment and support your colleagues.