Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and manage tools for the Machine Learning Software Stack.
- Company: Leading technology company in the UK with a supportive work culture.
- Benefits: Competitive salary, flexible working, and private medical insurance.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Join a dynamic team and shape the future of machine learning tools.
- Qualifications: Proficiency in Python or C++, Linux experience, and knowledge of build processes.
The predicted salary is between 50000 - 60000 £ per year.
A leading technology company in the UK is seeking a Software Infrastructure engineer to develop and manage tools for the Machine Learning Software Stack. The role involves working closely with QA and development teams on build practices, tooling, and releases.
Essential skills include:
- Proficiency in Python or C++
- Experience in Linux
- Understanding build processes
The position offers a competitive salary alongside benefits such as flexible working, private medical insurance, and a supportive work environment.
Build Engineer - ML Software Stack & Tools employer: graphcore
Contact Detail:
graphcore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Build Engineer - ML Software Stack & Tools
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in ML or software infrastructure. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects in Python or C++. This not only demonstrates your coding chops but also gives potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for technical interviews by brushing up on build processes and tooling. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨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 are proactive about their job search!
We think you need these skills to ace Build Engineer - ML Software Stack & Tools
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python or C++, and any relevant work with Linux. We want to see how your skills align with the role, so don’t be shy about showcasing your build process knowledge!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Build Engineer position and how your background makes you a perfect fit. Let us know what drives you in the tech world!
Showcase Your Team Spirit: Since this role involves working closely with QA and development teams, highlight any collaborative projects you've been part of. We love seeing how you work with others to achieve common goals!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at graphcore
✨Know Your Tech Inside Out
Make sure you brush up on your Python or C++ skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in relation to build processes and tooling.
✨Familiarise Yourself with Build Practices
Since the role involves working closely with QA and development teams, it’s crucial to understand common build practices. Prepare examples of how you've contributed to build processes in previous roles, and be ready to discuss any tools you've used.
✨Show Your Linux Love
As experience in Linux is essential, make sure you can talk about your familiarity with the operating system. Highlight any relevant projects or tasks where you've leveraged Linux to improve software infrastructure.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's approach to machine learning and their build processes. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.