imc · Amsterdam, Netherlands; London, United Kingdom
Skills: Python
Machine Learning Engineers at IMC play a pivotal role in building the systems that drive training and deployment of large-scale ML models across IMC's global operations. They collaborate with quantitative researchers, hardware specialists and software engineers to build robust systems that get the most out of GPU acceleration, distributed computing and the broader open-source ML ecosystem. ML Engineers' work directly shapes how fast we can experiment, iterate and deploy - accelerating the cycle that turns a research idea into a live trading strategy. This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC's technology and trading capabilities. As a team, our Machine Learning Engineers broadly work across two areas: ML Research Engineering , focused on the systems and frameworks researchers use to train, evaluate and iterate on models at scale; and ML Performance Engineering , focused on making ML workloads execute as efficiently as possible, typically through GPU and low-level systems optimisation. These aren't rigid tracks, and there is overlap between them. You will bring depth of expertise in at least one of these focus areas and collaborate closely with global team members. Your Core Responsibilities The responsibilities below are representative of the role — the exact mix depends on your team, area of expertise and location. ML Research Engineering: Develop large-scale distributed training pipelines that manage complex datasets and models. Partner with quantitative researchers to automate ML experiments, hyperparameter tuning and model retra …truncated… ute and latency at the device level, and optimising performance across kernels, compilers and hardware (e.g. CUDA, Triton or equivalent). Production inference systems — hands-on experience building and hardening real-time, low-latency prediction pipelines in high-performance environments. Numerics and corre…
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