Senior ML Engineer
What we're looking for
Candidates must have deep, hands-on expertise designing, architecting, and implementing large-scale foundation models with recent architectures (e.g., MoE, state-space models), and significant experience optimizing and debugging deep learning models for performance. Strong proficiency in both Python and CUDA C/C++ is required, alongside practical experience with distributed or large-scale training/inference and deep knowledge of at least one major deep learning framework (ideally PyTorch). Candidates must have built and operated ML systems on cloud platforms (AWS, Azure, or GCP), and be able to work onsite in London (minimum: monthly in-person)
Nice to have
Team expects urgency, strong work ethic, and willingness to challenge and be challenged. Early-stage environment—candidates must be comfortable with ambiguity, rapid change, and hands-on ownership.
Ready to apply?
Complete the application right here · it takes about two minutes.