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- Tasks: Test, validate, and benchmark cutting-edge ML software for performance and reliability.
- Company: Leading AI technology firm based in Bristol with a supportive culture.
- Benefits: Competitive salary, flexible working hours, and a range of benefits.
- Why this job: Join a dynamic team and work on innovative ML projects that make a difference.
- Qualifications: Strong experience with ML frameworks like PyTorch or TensorFlow and proficiency in Python.
- Other info: Exciting opportunities for growth in a fast-paced tech environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI technology firm in Bristol is seeking a Machine Learning Engineer to work on testing, validating, and benchmarking a complex ML software stack. The role requires strong experience in machine learning systems and frameworks, with an emphasis on performance and reliability. The ideal candidate will have extensive experience with ML frameworks like PyTorch or TensorFlow and proficiency in Python. In addition, Graphcore offers competitive salary, flexible working, and various benefits for a supportive environment.
Senior ML Systems Engineer - Benchmark & Performance in Bristol employer: graphcore
Contact Detail:
graphcore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Systems Engineer - Benchmark & Performance in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with ML frameworks like PyTorch or TensorFlow. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on performance and reliability topics in ML systems. We recommend practising common interview questions and even doing mock interviews with friends to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior ML Systems Engineer - Benchmark & Performance in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML systems and frameworks like PyTorch or TensorFlow. 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 machine learning and how your background makes you a perfect fit for our team. Let us know what excites you about working at StudySmarter.
Showcase Your Projects: If you've worked on any interesting ML projects, make sure to mention them in your application. We love seeing practical examples of your work, especially those that demonstrate your problem-solving skills and performance optimisation.
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 our team!
How to prepare for a job interview at graphcore
✨Know Your ML Frameworks
Make sure you brush up on your knowledge of ML frameworks like PyTorch and TensorFlow. Be ready to discuss your experience with these tools, including specific projects where you've used them to solve real-world problems.
✨Showcase Your Python Skills
Since proficiency in Python is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
✨Understand Performance Metrics
Familiarise yourself with performance metrics relevant to machine learning systems. Be prepared to discuss how you’ve tested and validated models in the past, and what benchmarks you consider important for assessing performance.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s ML stack and their approach to benchmarking and performance. This shows your genuine interest and helps you assess if the company is the right fit for you.
