Software Engineer (Python) - MLOps Platform

Your responsibilities, Designing, building, and maintaining scalable backend services and tooling that support the AI lifecycle and GPU-based workloads, Profiling and optimising model training and inference workloads (latency, throughput, stability) using PyTorch and existing CUDA-enabled libraries, Improving GPU compute utilisation, memory consumption, and bandwidth across shared, multi-tenant, and multi-node environments, Implementing mixed-precision execution, quantisation, efficient batching, gradient accumulation, and memory-efficient attention, Creating repeatable benchmarking practices, automated regression tests, and acting as a guide for engineering teams selecting execution frameworks and GPU types What we offer, Financial benefits that show we value your work, Medical insurance for you and your close ones, Flexibility to work from home, the office or abroad, A free Revolut Metal subscription loaded with perks, Exciting events year-round so you can get to know your team