Senior MLOps Engineer London
London, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
Hudl
or create insights, that's a plus. Deeper systems knowledge. Extraexperience with any of the following would be an asset: developing GPU kernels and/or ML compilers (e.g. CUDA, OpenCL, TensorRT Plugins, MLIR, TVM, etc); optimizing systems to meet strict utilization and latency requirements with tools such as Nvidia NSight; and/or you've worked with embedded More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted: