At a Glance
- Tasks: Design and develop high-quality software systems for machine learning.
- Company: Join Graphcore, a leading tech company in Greater London.
- Benefits: Enjoy competitive benefits and an inclusive working environment.
- Other info: Great opportunity for career growth in a dynamic team.
- Why this job: Make a difference in AI technology while mentoring the next generation of engineers.
- Qualifications: Proficient in Python with strong software design skills.
The predicted salary is between 60000 - 80000 £ per year.
Graphcore in Greater London is seeking an experienced Software Engineer to design, develop, and maintain high-quality software systems for machine learning software stacks. Candidates should have strong software design and architecture skills, and a proven track record in mentoring junior engineers. The ideal candidate will be proficient in Python and familiar with CI/CD systems. The role offers competitive benefits and an inclusive working environment.
Staff ML QA Engineer: Test Automation for AI Stack in London employer: graphcore
Graphcore is an exceptional employer located in Greater London, offering a dynamic and inclusive work culture that fosters innovation and collaboration. Employees benefit from competitive remuneration, comprehensive professional development opportunities, and the chance to mentor the next generation of engineers, making it a rewarding place for those passionate about advancing machine learning technology.
StudySmarter Expert Advice🤫
We think this is how you could land Staff ML QA Engineer: Test Automation for AI Stack in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Graphcore. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your Python projects and any test automation work you've done. This gives you a chance to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for the interview by brushing up on CI/CD systems and machine learning concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨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 Staff ML QA Engineer: Test Automation for AI Stack in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and CI/CD systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how your background makes you a great fit for our team at Graphcore. Keep it engaging and personal.
Show Off Your Mentoring Skills:Since mentoring junior engineers is part of the gig, share examples of how you've supported others in their growth. We love seeing candidates who are not just skilled but also keen to help others succeed!
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 graphcore
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and understand the intricacies of CI/CD systems. Be ready to discuss your previous projects and how you’ve applied these technologies in real-world scenarios.
✨Showcase Your Mentoring Skills
Since the role involves mentoring junior engineers, prepare examples of how you've successfully guided others in the past. Highlight specific instances where your mentorship made a difference in their development.
✨Understand the Company’s Vision
Research Graphcore and its mission in the AI space. Being able to articulate how your skills align with their goals will show that you’re genuinely interested in the position and the company.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges or system design questions related to machine learning software stacks to demonstrate your expertise.
