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- Tasks: Test and validate cutting-edge ML software while benchmarking models and developing automated testing pipelines.
- Company: Leading AI technology firm in Bristol with a vibrant workplace culture.
- Benefits: Flexible working, private medical insurance, and a supportive work environment.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Strong Python skills and experience with PyTorch or TensorFlow required.
- Other info: Collaborate with talented teams in a fast-paced, innovative setting.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI technology firm in Bristol seeks an experienced ML Engineer to test and validate a complex ML software stack. The ideal candidate should have strong proficiency in Python and experience with industry-standard ML frameworks like PyTorch and TensorFlow.
Responsibilities include:
- Benchmarking ML models
- Developing automated testing pipelines
- Collaborating closely with software and hardware teams
This role offers benefits like flexible working, private medical insurance, and a great workplace culture.
Senior ML Benchmark & QA Engineer in Bristol employer: graphcore
Contact Detail:
graphcore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Benchmark & QA Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community on LinkedIn or at local meetups. 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 projects, especially those involving Python, PyTorch, or TensorFlow. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and frameworks. Practice explaining your past projects and how you approached benchmarking and testing. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Senior ML Benchmark & QA Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and ML frameworks like PyTorch and 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! Tell us why you’re passionate about ML and how your background makes you the perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, mention specific challenges you've tackled in ML benchmarking or automated testing. We’re keen to know how you approach problems and what solutions you’ve implemented in the past.
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 PyTorch and TensorFlow. Be ready to discuss how you've used these frameworks in past projects, and think about specific examples where you benchmarked models or developed testing pipelines.
✨Showcase Your Python Skills
Since strong proficiency in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that showcases your understanding of ML concepts.
✨Collaboration is Key
This role involves working closely with software and hardware teams, so be prepared to talk about your experience in collaborative environments. Share examples of how you’ve effectively communicated and worked with cross-functional teams to achieve project goals.
✨Understand the Company Culture
Research the company’s workplace culture and values. Be ready to explain why you’d be a good fit and how you align with their mission. This will show that you’re not just interested in the job, but also in being part of their team.