At a Glance
- Tasks: Lead quality assurance for ML products and ensure top-notch delivery.
- Company: Hudl, a forward-thinking tech company in the heart of London.
- Benefits: Flexible remote work options, competitive salary, and career growth opportunities.
- Other info: Collaborative environment with a focus on innovation and excellence.
- Why this job: Join a dynamic team and shape the future of machine learning quality.
- Qualifications: Experience in leading QA initiatives and strong CI/CD knowledge.
The predicted salary is between 60000 - 80000 £ 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 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
✨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
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with quality assurance and ML platforms. We want to see how your skills align with the role, so don’t be shy about showcasing your leadership in complex quality initiatives!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about QA and how you can contribute to our Applied Machine Learning team. We love seeing candidates who can connect their experiences to our mission.
Showcase Your CI/CD Knowledge:Since this role involves CI/CD practices, make sure to mention any relevant experience you have. We’re looking for someone who can lead quality initiatives, so let us know how you’ve done this in the past!
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Hudl
✨Know Your Stuff
Make sure you brush up on your knowledge of CI/CD practices and quality assurance methodologies. Be ready to discuss how you've led complex quality initiatives in the past, as this will show your technical leadership skills.
✨Show Your Collaborative Spirit
Since the role involves working with various teams, be prepared to share examples of how you've influenced engineering quality across squads. Highlight your collaborative mindset and how it has helped improve processes in previous roles.
✨Understand the ML Landscape
Familiarise yourself with machine learning concepts and the specific challenges that come with QA in ML products. This will not only impress your interviewers but also demonstrate your genuine interest in the field.
✨Ask Insightful Questions
Prepare thoughtful questions about Hudl's approach to quality assurance and their ML platform. This shows that you're engaged and serious about the role, plus it gives you a chance to assess if the company is the right fit for you.
