Lead QA Engineer - ML Platform & MLOps (Remote UK)

Lead QA Engineer - ML Platform & MLOps (Remote UK)

Full-Time 60000 - 80000 £ / year (est.) Working from home possible
Hudl

At a Glance

  • Tasks: Lead quality assurance efforts and enhance ML product initiatives with your expertise.
  • Company: Join Hudl, a forward-thinking tech company with a supportive culture.
  • Benefits: Enjoy a competitive salary, remote work flexibility, and a collaborative environment.
  • Other info: Be part of a dynamic team with great career growth opportunities.
  • Why this job: Make a real impact in the ML space while mentoring fellow engineers.
  • Qualifications: Strong background in quality assurance and MLOps, plus excellent remote collaboration skills.

The predicted salary is between 60000 - 80000 £ per year.

Hudl is looking for a Lead Quality Assurance Engineer to join its Applied Machine Learning team. This role involves providing technical leadership, owning the architecture for quality infrastructure, and collaborating across departments to enhance ML product initiatives. You will be a key contributor, design measuring systems, and mentor other engineers, ensuring high standards of quality and effectiveness in deliveries.

The successful candidate should have a strong background in quality assurance, MLOps, and excellent remote collaboration skills. This position offers a competitive salary range and a supportive work culture.

Lead QA Engineer - ML Platform & MLOps (Remote UK) employer: Hudl

Hudl is an exceptional employer that fosters a collaborative and innovative work culture, particularly for remote teams in the UK. With a strong emphasis on employee growth, you will have the opportunity to lead impactful projects in machine learning while mentoring fellow engineers. The company offers competitive salaries and a supportive environment that values quality and effectiveness in all deliveries.

Hudl

Contact Details:

Hudl Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead QA Engineer - ML Platform & MLOps (Remote UK)

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! Create a portfolio showcasing your QA projects, especially those involving MLOps. This will give you an edge and demonstrate your hands-on experience.

Tip Number 3

Prepare for the interview by brushing up on your technical knowledge and soft skills. Practice common QA scenarios and think about how you’d approach quality assurance in ML products.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step.

We think you need these skills to ace Lead QA Engineer - ML Platform & MLOps (Remote UK)

Quality Assurance
MLOps
Technical Leadership
Architecture for Quality Infrastructure
Collaboration Skills
Design Measuring Systems
Mentoring

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 ensured high standards in your previous roles, especially in MLOps or ML product initiatives.

Highlight Your Technical Leadership:We want to know about your experience in providing technical leadership. Mention any projects where you’ve owned the architecture for quality infrastructure and how you’ve collaborated with other teams to drive success.

Emphasise Remote Collaboration Skills:Since this is a remote role, it’s crucial to showcase your ability to work effectively with others from a distance. Talk about tools you’ve used and strategies you’ve implemented to maintain strong communication and collaboration.

Tailor Your Application:Make sure to tailor your application specifically for this role at Hudl. Use keywords from the job description and align your skills and experiences with what we’re looking for. And remember, applying through our website is the best way to get noticed!

How to prepare for a job interview at Hudl

Know Your QA Fundamentals

Brush up on your quality assurance principles, especially those related to machine learning and MLOps. Be ready to discuss how you’ve implemented QA processes in previous roles and how they can be applied to enhance Hudl's ML product initiatives.

Showcase Your Technical Leadership

Prepare examples of how you've provided technical leadership in past projects. Highlight your experience in designing quality infrastructure and mentoring other engineers, as this role requires strong leadership skills.

Collaboration is Key

Since this position involves working across departments, think of specific instances where you successfully collaborated with different teams. Be ready to discuss how you can foster effective communication and teamwork in a remote setting.

Ask Insightful Questions

Prepare thoughtful questions about Hudl’s current ML initiatives and their approach to quality assurance. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.