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- Tasks: Design and maintain a complex ML software stack while building robust test infrastructure.
- Company: Leading AI compute company based in Bristol with a focus on innovation.
- Benefits: Flexible working hours, private medical insurance, and a comprehensive benefits package.
- Other info: Great opportunity for career growth in a collaborative environment.
- Why this job: Join a dynamic team and mentor junior engineers while working on cutting-edge AI technology.
- Qualifications: Proficient in Python with production-quality software engineering experience and CI/CD knowledge.
The predicted salary is between 50000 - 70000 £ per year.
A leading AI compute company in Bristol is seeking an experienced Software Engineer to design, develop, and maintain a complex ML software stack. Responsibilities include building robust test infrastructure, maintaining CI/CD pipelines, and mentoring junior engineers.
The ideal candidate will have strong proficiency in Python, production-quality software engineering experience, and be familiar with CI/CD practices in a Linux environment.
A comprehensive benefits package accompanies the position, including flexible working and private medical insurance.
Senior ML QA Engineer - Test Automation & CI/CD employer: graphcore
Contact Detail:
graphcore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML QA Engineer - Test Automation & CI/CD
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your test automation projects and CI/CD pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with ML software stacks. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior ML QA Engineer - Test Automation & CI/CD
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and CI/CD practices. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about ML and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Mentoring Skills: Since mentoring junior engineers is part of the role, share any experiences you have in guiding others. We love to see how you can contribute to our team's growth and development!
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 us!
How to prepare for a job interview at graphcore
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and understand the intricacies of CI/CD practices. Be ready to discuss your previous experiences with test automation and how you've built robust test infrastructures in the past.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would approach common issues in ML software stacks and be ready to explain your thought process clearly.
✨Mentorship Matters
Since mentoring junior engineers is part of the role, come prepared with examples of how you've supported others in their learning. Share specific instances where your guidance made a difference in a project or team dynamic.
✨Cultural Fit is Key
Research the company culture and values. Be ready to discuss how your personal values align with theirs, especially regarding flexible working and collaboration within teams. This will show that you're not just a tech fit but a cultural one too.