2026 Graduate Machine Learning Engineer Applied AI

About us

At Graphcore were building the future of AI compute.

Were a team of semiconductor software and AI experts with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group backed by significant long-term investment we are delivering key technology into the fast-growing SoftBank AI meet the vast and exciting AI opportunity Graphcore is expanding its teams around the are bringing together the brightest minds to solve the toughest problems in a place where everyone has the opportunity to make an impact on the company our products and the future of artificial intelligence.

Job Summary

As a Graduate Machine Learning Engineer in the Applied AI team at Graphcore you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Working closely with the Software development and Research teams you will play a critical role in identifying opportunities to innovate and differentiate Graphcores technology. This role is ideal for someone who loves working hands-on with models has a strong foundation in ML fundamentals and wants to push the boundaries of AI performance in real-world systems.

The Team

The Applied AI teams role is to understand the latest AI models applications and software to ensure that Graphcores technology works seamlessly with the AI ecosystem. We build reference applications contribute to key software libraries e.g. optimising kernels for efficiency on our hardware and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute model scaling and distributed training and inference of AI models for different modalities and applications.

Responsibilities and Duties

• Implement state-of-the-art machine learning models and optimise them for performance and accuracy scaling to 1000s of accelerators.
• Evaluate new software releases provide feedback to software engineering teams make necessary code fixes and conduct code reviews.
• Benchmark models and key model components to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods analyse and report results clearly.
• Collaborate with Research Software and Product teams to define build and test Graphcores next generation of AI hardware.
• Stay current with AI research and actively engage with the broader AI and open-source community.

Candidate Profile

Essential:

• Bachelors/Masters degree in Machine Learning Computer Science Maths Data Science or related field.
• Proficiency in deep learning frameworks such as PyTorch/JAX and strong software development skills.
• Solid understanding of deep learning fundamentals architectures optimisation evaluation and scaling.
• Capable of designing executing and reporting from ML experiments.
• Comfortable working in a fast-moving occasionally ambiguous environment.
• Enjoy cross-functional work collaborating with other teams.

Desirable:

Experience in one or more of:

• Development of deep learning models including large generative models for language vision and other modalities;
• Low-precision/efficient compute;
• Distributed training of large-scale ML models.
• Experience writing high performance C/Triton/CUDA kernels.
• Contributions to open-source projects or published research.
• Familiarity with cloud platforms and ML infrastructure.
• Enthusiasm for presenting publishing or engaging in the AI community.

Benefits

In addition to a competitive salary Graphcore offers flexible working a generous annual leave policy private medical insurance and health cash plan a dental plan pension (matched up to 5%) life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health mental wellbeing and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; were committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.