performance team optimises inference for edge accelerators and GPUs, so large transformer-based models run efficiently on low-cost... on Profiling inference performance across model graphs, compiler/runtime behaviour, kernel execution and memory movement...
. You should be proficient in modern Python ML libraries while bringing solid C++ expertise to optimize our performance-critical architecture... workflows, building reliable tooling, and writing clean, maintainable Python code alongside high-performance C++ components...
. About this role As a Senior ML Engineer within the Logistics domain, you will drive the development of cutting-edge solutions...Position: Senior Machine Learning Engineer - Logistics Department: Logistics Reporting to: Data Science Manager...
Accepting applications until: 13 November 2026 Job Description Your New Role: Senior Machine Learning Engineer... Global’s Data team is looking for a Senior Machine Learning Engineer to build, deploy and scale machine learning solutions...
++/Triton/CUDA kernels for performance optimisation of ML models. Experience in distributed training or inference of ML... of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology...
++/Triton/CUDA kernels for performance optimisation of ML models. Experience in distributed training or inference of ML... of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology...
++/Triton/CUDA kernels for performance optimisation of ML models. Experience in distributed training or inference of ML... of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology...
Join Runware as a Senior Machine Learning Engineer and be at the forefront of developing innovative AI solutions... designed to revolutionize how content is generated. As a Senior Machine Learning Engineer, you’ll take the lead on critical...
learning infrastructure, inference systems or ML performance optimisation Exposure to large-scale batch processing, compute... resource prioritisation Supporting batch inference and performance optimisation workflows, so teams can run evaluations...
to the strategic direction of our ML platform—spanning data pipelines, model development, deployment automation, inference..., and optimisation strategies. Mentor teams on advanced ML techniques using Model frameworks such as PyTorch, TensorFlow, and XGBoost...