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- Tasks: Lead quality assurance for AI/ML solutions in sports technology.
- Company: Dynamic sports tech company with a global reach.
- Benefits: Flexible remote work, competitive salary, and mentorship opportunities.
- Why this job: Make a real impact on 230k sports teams with innovative solutions.
- Qualifications: Strong QA experience and mentoring skills required.
- Other info: Collaborative environment with exciting challenges and growth potential.
The predicted salary is between 48000 - 72000 £ per year.
A sports technology company is seeking a Staff Quality Assurance Engineer to lead quality assurance efforts for AI/ML solutions. The ideal candidate will have a strong focus on quality and the ability to mentor others while solving complex technical challenges.
The role allows for flexible work arrangements, including remote options, and emphasizes collaboration across global teams. This position offers a chance to impact over 230k sports teams by delivering reliable, innovative solutions.
Staff QA Engineer - ML & Video Analytics Lead (Remote UK) employer: Hudl
Contact Detail:
Hudl Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff QA Engineer - ML & Video Analytics Lead (Remote UK)
✨Tip Number 1
Network like a pro! Reach out to folks in the sports tech industry, especially those working with AI/ML. A friendly chat can open doors and give you insights that might just land you that Staff QA Engineer role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your previous QA projects, especially those involving AI/ML. This will help us see how you tackle complex challenges and lead quality assurance efforts.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your QA methodologies and tools. We want to see how you approach problem-solving and mentoring others, so be prepared to share your experiences.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in being part of our team and making an impact on those 230k sports teams.
We think you need these skills to ace Staff QA Engineer - ML & Video Analytics Lead (Remote UK)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML solutions and quality assurance. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about sports technology and how you can contribute to our mission. Let us know how you’ve tackled complex challenges in the past.
Showcase Your Mentoring Skills: Since this role involves mentoring, share examples of how you've guided others in previous positions. We love seeing candidates who can uplift their teammates while driving quality assurance efforts.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Hudl
✨Know Your Tech Inside Out
Make sure you’re well-versed in AI/ML concepts and video analytics. Brush up on the latest trends and technologies in quality assurance, as well as any specific tools or frameworks mentioned in the job description. This will show your passion and expertise during the interview.
✨Showcase Your Mentoring Skills
Since the role involves mentoring others, be prepared to discuss your previous experiences in guiding teams or individuals. Share specific examples of how you've helped others grow in their roles, and highlight your collaborative approach to problem-solving.
✨Prepare for Technical Challenges
Expect to face some complex technical challenges during the interview. Practice articulating your thought process when tackling QA issues, especially those related to AI/ML solutions. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Emphasise Flexibility and Collaboration
With remote work being a key aspect of this role, demonstrate your ability to collaborate with global teams. Share examples of how you’ve successfully worked in remote settings, maintained communication, and contributed to team goals despite geographical distances.
