Graduate Machine Learning Engineer 2027

What you’ll work on

Turn the models you’ve studied into AI systems that run at scale.  

In Applied AI, you’ll help implement, train and optimise advanced models on Graphcore’s next generation hardware, connecting research ideas with systems running across thousands of accelerators. 

You’ll benchmark models, use profiling to find performance bottlenecks, design experiments and contribute fixes across models, software and accelerator systems.  

Working with Research, Software and Product teams, you’ll test ideas that could inform future hardware. Your experiments will help us understand what makes a model accurate, efficient and ready to scale. 

How you’ll learn and grow

During the two-year programme, you’ll build technical range through hands-on work across AI models and accelerator systems.  

With visibility across the full stack – from novel accelerator hardware and its software stack to state-of-the-art AI applications – you’ll identify opportunities to innovate and differentiate Graphcore’s technology. 

What we’re looking for

• Bachelor/Master's degree in Machine Learning, Computer Science, Maths, Data Science, or related field 
• Software development skills and proficiency with a deep learning framework such as PyTorch or JAX 
• An understanding of deep learning architectures, optimisation, evaluation and scaling, with the ability to design, run and explain ML experiments 
• A collaborative approach and willingness to work through unfamiliar technical problems, ask questions and take responsibility 

You can demonstrate these skills through coursework, a dissertation, personal or team projects, research, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned. 

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Retirement planning support: Up to 5% matched pension
• Phantom equity: Share in Graphcore’s success
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day
• Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones
• Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice
• Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover
• Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn

We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.

We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you.