Graduate Machine Learning Engineer 2027
Graphcore, a leading British semiconductor company specializing in AI hardware, is offering a Graduate Machine Learning Engineer position starting in September 2027. This two-year program, based in Bristol, UK, provides an opportunity to work on cutting-edge AI technologies alongside a team dedicated to innovation and excellence.
As a Graduate Machine Learning Engineer, you will be responsible for implementing, training, and optimizing advanced AI models on Graphcore's next-generation hardware. Your role will involve benchmarking models, identifying performance bottlenecks, designing experiments, and contributing to improvements across models, software, and accelerator systems. Collaboration with Research, Software, and Product teams will be essential to test ideas that could inform future hardware developments.
Ideal candidates should possess a Bachelor's or Master's degree in Machine Learning, Computer Science, Mathematics, Data Science, or a related field. Proficiency in software development and experience with deep learning frameworks such as PyTorch or JAX are required. A solid understanding of deep learning architectures, optimization, evaluation, and scaling, along with the ability to design and conduct ML experiments, is essential. A collaborative approach and a willingness to tackle unfamiliar technical challenges are also important.
The compensation package includes flexible working arrangements, a retirement plan with up to 5% matched pension, phantom equity, and thoughtfully designed office spaces with amenities like free food and an on-site barista. Additional benefits encompass income protection, life assurance, an Electric Vehicle Scheme, and a range of flexible benefits such as private medical insurance and dental cover.
Graphcore fosters a culture of innovation and inclusivity, encouraging employees to take ownership, share ideas, and contribute to the company's success. The Graduate Programme offers hands-on experience across AI models and accelerator systems, providing visibility into the full stack—from hardware to AI applications—and opportunities to innovate and differentiate Graphcore's technology.