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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: Make an impact in the exciting world of sports analytics and AI.
- Qualifications: Experience in quality assurance and technical leadership.
- Other info: Remote role with a global team and dynamic work environment.
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, and 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) 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)
✨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 applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your QA projects, especially those involving AI/ML. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled challenges in previous roles, especially in remote settings.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Staff QA Engineer: AI/ML Quality Leader (Remote UK)
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: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML quality assurance and how you can contribute to our team. Keep it engaging and personal – we want to get to know you!
Showcase Remote Collaboration Skills: Since this is a remote position, emphasise your experience with global teams and remote collaboration tools. We value a global mindset, so share examples of how you've successfully worked with diverse teams.
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 concepts. Be ready to discuss how you've applied these technologies in previous roles, especially in quality assurance. This will show that you understand the technical aspects and can lead quality initiatives effectively.
✨Showcase Your Leadership Skills
Prepare examples of how you've led teams or projects in the past. Highlight your ability to enhance collaboration and drive strategic quality initiatives. This is crucial for a role that requires quality leadership across teams, so make it clear how you can contribute.
✨Emphasise Problem-Solving Abilities
Think of specific challenges you've faced in QA and how you resolved them. Being able to articulate your problem-solving process will demonstrate your critical thinking skills, which are essential for this position.
✨Be Ready for Remote Collaboration
Since this is a remote role, be prepared to discuss your experience with remote teamwork. Share how you've successfully collaborated with global teams and maintained productivity while working from different locations. This will show that you have the right mindset for remote work.
