Machine Learning Engineer (Remote)

A leading buy-side firm, is looking for a Machine Learning Engineer to push the boundaries of how data and models are used in systematic investing. This isnt a research support role its about building the ML infrastructure that directly drives trading strategies and PnL. Design and implement distributed training pipelines handling high-volume data and complex model architectures
Optimise and extend machine learning frameworks to improve training and inference performance
Leverage GPU programming (CUDA, cuDNN, TensorRT) to maximise efficiency
Assess and integrate emerging open-source tools to enhance ML development and deployment

5+ years experience in machine learning with a focus on training and inference systems
~ Strong programming expertise in Python and C++ or CUDA
~ Hands-on experience with GPU acceleration and distributed training (Horovod, NCCL or similar)
~ Background in real-time, low-latency ML pipelines
~ Contributions to open-source ML or distributed systems projects are advantageous


Top-of-market comp: 140,000 - 190,000 + performance bonus.
If youre a machine learning engineer who wants to operate at the sharp end of finance, building systems that actually move markets, this is the role.