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- Tasks: Optimise AI models and collaborate with diverse teams on cutting-edge projects.
- Company: Leading UK tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working hours, and private medical insurance.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Strong skills in machine learning and experience with Python or C++.
- Other info: Exciting opportunities for career growth in a fast-paced environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology company based in the UK is seeking a Senior Machine Learning Engineer to join their Applied AI team. This role involves optimising AI models for performance on advanced hardware, collaborating with diverse teams, and contributing to AI advancements.
Candidates should possess strong skills in machine learning, deep learning frameworks like PyTorch or JAX, and programming in Python or C++.
Various employee benefits include competitive salary, flexible working, and private medical insurance.
Senior ML Engineer, Large-Scale AI Systems employer: graphcore
Contact Detail:
graphcore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer, Large-Scale AI Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 machine learning and AI. This is your chance to demonstrate your expertise in frameworks like PyTorch or JAX and programming in Python or C++.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and algorithms. Practice coding challenges and be ready to discuss your past experiences and how they relate to optimising AI models for performance.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Senior ML Engineer, Large-Scale AI Systems
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and deep learning frameworks like PyTorch or JAX. 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 AI and how your background makes you a perfect fit for our Applied AI team. Keep it engaging and personal – we love to see your personality!
Showcase Your Collaboration Skills: Since this role involves working with diverse teams, highlight any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you can contribute to our collaborative culture!
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 – just follow the prompts and you’re good to go!
How to prepare for a job interview at graphcore
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and frameworks, especially PyTorch and JAX. Be ready to discuss your past projects and how you've optimised models for performance. This is your chance to show off your technical skills!
✨Show Your Collaborative Spirit
Since this role involves working with diverse teams, be prepared to talk about your experience in collaboration. Think of examples where you’ve worked with others to solve complex problems or improve AI systems. Highlighting your teamwork skills can really set you apart.
✨Prepare for Technical Questions
Expect some deep dives into your coding skills, particularly in Python or C++. Practice coding challenges and be ready to explain your thought process. It’s not just about getting the right answer; they want to see how you approach problems.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects or the company’s vision for AI advancements. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
