At a Glance
- Tasks: Define quality standards for ML systems and automate QA workflows using Python.
- Company: Join Autodesk, a leader in innovative technology, in the heart of Westminster.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on advancing ML/AI technologies.
- Why this job: Make a real impact on cutting-edge ML projects while collaborating with top researchers and engineers.
- Qualifications: Bachelor's degree in Computer Science or Engineering and 7+ years in software engineering or QA.
The predicted salary is between 60000 - 84000 £ per year.
Autodesk is seeking a Senior Machine Learning QA Engineer to join their Research Enablement team in the City of Westminster. The role involves defining quality standards for ML systems, automating QA workflows using Python, and collaborating with both researchers and engineers.
The ideal candidate will have a Bachelor's degree in Computer Science or Engineering, alongside 7+ years of experience in software engineering or QA for ML/AI systems. Knowledge of MLOps practices and skills in Python are essential.
Senior ML QA Engineer: Build Scalable Quality Gates in City of Westminster employer: Autodesk
At Autodesk, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. As a Senior Machine Learning QA Engineer in the vibrant City of Westminster, you will benefit from extensive professional development opportunities, competitive compensation, and a supportive environment that values your contributions to cutting-edge ML systems. Join us to be part of a forward-thinking team dedicated to pushing the boundaries of technology while enjoying the unique advantages of working in one of London's most exciting areas.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML QA Engineer: Build Scalable Quality Gates in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Autodesk 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 work in ML QA and automation. This is your chance to demonstrate your Python prowess and MLOps knowledge in a way that stands out.
✨Tip Number 3
Prepare for interviews by brushing up on common ML QA scenarios. Think about how you’d define quality standards and automate workflows. We want you to be ready to impress with your insights!
✨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, we love seeing candidates who take that extra step.
We think you need these skills to ace Senior ML QA Engineer: Build Scalable Quality Gates in City of Westminster
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in software engineering and QA for ML/AI systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Show Off Your Python Skills:Since automating QA workflows using Python is key for this role, include specific examples of how you've used Python in your previous work. We love seeing practical applications of your coding skills!
Highlight MLOps Knowledge:If you’ve got experience with MLOps practices, make sure to mention it! This is a big plus for us, and we want to know how you’ve implemented these practices in your past roles.
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!
How to prepare for a job interview at Autodesk
✨Know Your ML Basics
Make sure you brush up on your machine learning fundamentals. Understand the key concepts and be ready to discuss how quality standards can be applied to ML systems. This will show that you’re not just familiar with the theory but can also apply it practically.
✨Showcase Your Python Skills
Since automating QA workflows using Python is a big part of the role, be prepared to demonstrate your coding skills. You might be asked to solve a problem or explain your previous projects. Have examples ready that highlight your experience with Python in QA processes.
✨Familiarise Yourself with MLOps
Understanding MLOps practices is crucial for this position. Research how MLOps integrates with QA and be ready to discuss how you’ve implemented these practices in past roles. This will show that you’re aligned with the current trends in machine learning.
✨Collaboration is Key
This role involves working closely with researchers and engineers, so be prepared to talk about your teamwork experiences. Share specific examples of how you’ve successfully collaborated on projects, highlighting your communication skills and ability to bridge gaps between different teams.
