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For Companies At a Glance
- Tasks: Scale and manage infrastructure while developing tools for the software team.
- Company: Leading AI hardware company based in Bristol with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and hands-on experience with High-Performance Computing.
- Why this job: Join a dynamic team and enhance processes for cutting-edge Machine Learning software.
- Qualifications: Relevant degree with solid understanding of Python and CI/CD principles.
- Other info: Great opportunity for career growth in a fast-paced tech environment.
The predicted salary is between 30000 - 42000 £ per year.
A leading AI hardware company based in Bristol is looking for a Graduate Software Engineer - DevOps. In this role, you will scale and manage infrastructure, develop tools for the software team, and enhance processes for Machine Learning software. You will gain experience with High-Performance Computing and work closely with development teams.
The ideal candidate holds a relevant degree and has a solid understanding of Python and CI/CD principles. A competitive salary and flexible working options are offered.
Graduate DevOps Engineer: Build, Deploy & Scale ML Infra in Bristol employer: graphcore
Contact Detail:
graphcore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate DevOps Engineer: Build, Deploy & Scale ML Infra in Bristol
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn or attend local tech meetups. Building connections can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects, especially those related to Python and CI/CD. This gives us a chance to demonstrate our hands-on experience and passion for DevOps.
✨Tip Number 3
Prepare for the interview by brushing up on relevant tools and technologies. We should be ready to discuss how we would scale and manage infrastructure, as well as our understanding of Machine Learning processes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re genuinely interested in joining the team.
We think you need these skills to ace Graduate DevOps Engineer: Build, Deploy & Scale ML Infra in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that align with the Graduate DevOps Engineer role. We want to see your understanding of Python and CI/CD principles, so don’t hold back on showcasing those!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a great fit for our team. We love seeing genuine enthusiasm for what we do.
Showcase Your Projects: If you've worked on any projects related to infrastructure, software development, or machine learning, make sure to mention them. We’re keen to see how you’ve applied your skills in real-world scenarios!
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 Graduate DevOps Engineer position. Let’s get started on this journey together!
How to prepare for a job interview at graphcore
✨Know Your Tech
Make sure you brush up on your Python skills and understand CI/CD principles inside out. Be ready to discuss how you've used these in past projects or coursework, as this will show your technical competence and readiness for the role.
✨Understand the Company
Research the AI hardware company and its products. Knowing their mission and recent developments can help you tailor your answers and demonstrate genuine interest during the interview. It’s a great way to connect your skills with their needs.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially related to scaling and managing infrastructure. Think of examples from your studies or internships where you tackled challenges, and be ready to explain your thought process.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team dynamics, the tools they use, or the challenges they face in Machine Learning software. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
