About this role
What does the technical machine learning team work on? Implementing ideas from published research papers Writing custom libraries to efficiently train models on petabytes of data Reducing model training times by hand optimising machine learning operations Profiling custom ML architectures to identify performance bottlenecks Evaluating the latest hardware and software in the machine learning ecosystem
Requirements
We are looking for graduates that will be comfortable working both independently and in small teams on a variety of engineering challenges, with a particular focus on machine learning and scientific computing. The ideal candidate will have the following skills and experience: A current undergraduate, master's or PhD student in machine learning or a related discipline Strong object-oriented programming skills and experience working with Python, PyTorch and NumPy are desirable Experience in one or more advanced optimisation methods, modern ML techniques, HPC, profiling, model inference; you don’t need to have all of the above Excellent machine learning reasoning skills, with the ability to develop your own models when standard approaches are insufficient Strong communication and collaboration skills, with the ability to work effectively in a team with complementary expertise Finance experience is not necessary for this role and candidates from non-financial backgrounds are encouraged to apply.