At a Glance
- Tasks: Lead quality assurance efforts for our innovative ML products and ensure top-notch delivery.
- Company: Join Hudl, a forward-thinking tech company in the heart of London.
- Benefits: Flexible remote work options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and quality.
- Why this job: Be a key player in shaping the future of machine learning technology.
- Qualifications: Experience in leading QA initiatives and a solid grasp of CI/CD practices.
The predicted salary is between 70000 - 90000 £ per year.
Hudl is seeking a Lead Quality Assurance Engineer for our Applied Machine Learning team in London. This role involves providing technical leadership, owning quality infrastructure, and collaborating with teams to ensure that ML products are delivered safely and efficiently. We encourage candidates who live near our London office, but are also open to remote workers across the U.K.
The ideal candidate should have experience leading complex quality initiatives, a strong understanding of CI/CD practices, and a collaborative mindset to influence engineering quality across squads.
Lead QA Engineer, ML Platform & MLOps in London employer: Hudl
Hudl is an exceptional employer that fosters a collaborative and innovative work culture, particularly within our Applied Machine Learning team in London. We offer competitive benefits, opportunities for professional growth, and the flexibility of remote work options, making it an ideal environment for those looking to make a meaningful impact in the field of quality assurance and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Lead QA Engineer, ML Platform & MLOps in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Hudl or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects related to QA and ML, make sure to highlight them during interviews. It’s a great way to demonstrate your expertise and passion.
✨Tip Number 3
Prepare for technical challenges! Brush up on your CI/CD practices and be ready to discuss how you’ve led quality initiatives in the past. We want to see how you can influence engineering quality across teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Lead QA Engineer, ML Platform & MLOps in London
Some tips for your application 🫡
Show Your Passion for Quality:When writing your application, let us see your enthusiasm for quality assurance! Share specific examples of how you've led quality initiatives in the past and how they made a difference. We love candidates who can demonstrate their commitment to delivering top-notch ML products.
Tailor Your CV and Cover Letter:Make sure your CV and cover letter are tailored to the Lead QA Engineer role. Highlight your experience with CI/CD practices and any leadership roles you've had. This helps us see how you fit into our team and the impact you could have on our quality infrastructure.
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your experiences and skills. We appreciate candidates who can communicate effectively, especially when it comes to technical details!
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’re considered for the role. Plus, it shows us that you’re proactive and keen to join our team!
How to prepare for a job interview at Hudl
✨Know Your ML Basics
Make sure you brush up on your machine learning fundamentals. Understand key concepts and be ready to discuss how they relate to quality assurance. This will show that you’re not just a QA expert but also someone who understands the intricacies of ML products.
✨Showcase Your Leadership Skills
Prepare examples from your past experiences where you led quality initiatives. Highlight how you influenced engineering quality across teams. This is crucial for a Lead QA Engineer role, so make sure you can articulate your leadership style and successes.
✨Familiarise Yourself with CI/CD Practices
Since the job requires a strong understanding of CI/CD, be ready to discuss your experience with these practices. Talk about tools you've used and how you've implemented them in previous projects to enhance quality assurance processes.
✨Emphasise Collaboration
Hudl values a collaborative mindset, so think of examples where you worked closely with other teams. Be prepared to discuss how you’ve fostered collaboration to improve product quality and how you can bring that approach to their Applied Machine Learning team.
