Graduate ML Engineer — 2-Year Hands-On AI Programme

Graphcore; West of England; Presencial; GBP 30.000 - 40.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working

Pension (matched)

Phantom equity

Office spaces and on-site barista

Descripción de la vacante

Graphcore in Bristol, UK, invites applications for its Graduate Programme in Applied AI. You’ll embark on a two-year learning journey, taking ownership from day one as you help design, implement and optimise AI models on Graphcore hardware.

Work spans across research, software and product teams, with opportunities to benchmark, profile, and experiment. The role emphasizes collaboration, curiosity, and responsible engineering to accelerate AI at scale.

Formación

• 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.
• Understanding of deep learning architectures, optimisation, evaluation and scaling, with ability to design, run and explain ML experiments.

Responsabilidades

• Join Graphcore's two-year Applied AI programme and learn hands-on across AI models and accelerator systems.
• Collaborate with Research, Software and Product teams to test ideas and contribute improvements to models and software.
• Contribute to kernel optimisations and algorithms for new AI models, driving performance and scalability.

Conocimientos

DL concepts

Experiment design

Collaboration

Problem solving

Educación

Bachelor/Master's in ML/CS

Herramientas

PyTorch

JAX

Descripción del empleo

Graphcore in Bristol, UK, invites applications for its Graduate Programme in Applied AI. You’ll embark on a two-year learning journey, taking ownership from day one as you help design, implement and optimise AI models on Graphcore hardware.

Work spans across research, software and product teams, with opportunities to benchmark, profile, and experiment. The role emphasizes collaboration, curiosity, and responsible engineering to accelerate AI at scale.