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- Tasks: Lead quality assurance for AI/ML solutions and enhance team collaboration.
- Company: Top sports analytics company with a focus on innovation.
- Benefits: Competitive salary, work-life balance, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the world of sports analytics.
- Qualifications: Experience in quality assurance and technical leadership.
- Other info: Remote role with a global mindset for collaboration.
The predicted salary is between 92000 - 153000 £ per year.
A leading sports analytics company is seeking a Staff Quality Assurance Engineer in the United Kingdom. This role involves delivering AI/ML solutions by providing quality leadership across teams, enhancing collaboration, and driving strategic quality initiatives.
Candidates should possess:
- Problem-solving skills
- Technical leadership experience
- A global mindset for remote collaboration
The position offers a competitive salary ranging from £92,000 to £153,000 GBP and promotes a balanced work-life environment, supporting both professional growth and personal well-being.
Staff QA Engineer: AI/ML Quality Leader (Remote UK) in London employer: Hudl
Contact Detail:
Hudl Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff QA Engineer: AI/ML Quality Leader (Remote UK) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the sports analytics and AI/ML space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repo showcasing your QA projects, especially those involving AI/ML. It’s a great way to demonstrate your technical leadership.
✨Tip Number 3
Prepare for the interview by brushing up on problem-solving scenarios. Think of examples where you’ve driven quality initiatives and enhanced collaboration in remote teams.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who take the extra step to connect with us directly. Plus, it shows your enthusiasm for the role!
We think you need these skills to ace Staff QA Engineer: AI/ML Quality Leader (Remote UK) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Staff QA Engineer role. Highlight your problem-solving abilities and any technical leadership experience you've had, as these are key for us.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI/ML and how you can enhance collaboration within our teams. This is your chance to show off your personality and fit for our culture!
Showcase Your Remote Collaboration Skills: Since this is a remote position, emphasise your experience working in global teams. Share examples of how you've successfully collaborated across different time zones and cultures.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Hudl
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and ML technologies. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you ensured quality in those solutions. This shows you're not just a leader but also technically savvy.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading teams and driving quality initiatives. Think about times when you enhanced collaboration or resolved conflicts. This will demonstrate your ability to lead effectively in a remote environment.
✨Emphasise Problem-Solving Abilities
Be ready to tackle hypothetical scenarios during the interview. Practice articulating your thought process when faced with a quality issue. This will showcase your analytical skills and your approach to problem-solving, which is crucial for this role.
✨Cultural Fit and Global Mindset
Since this is a remote position, it's important to convey your understanding of working in a global team. Share experiences where you collaborated with diverse groups and how you adapted to different work cultures. This will show that you can thrive in their remote setup.
