• 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.