ML Engineer – Real-Time GPU Inference & Training

Imc; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

IMC, a research-driven trading firm, seeks a Machine Learning Engineer to build systems for training and deploying large-scale ML models across global operations.

You will collaborate with researchers and engineers to optimize GPU-accelerated training and low-latency inference, delivering real-time predictions in production and shaping trading strategies with advanced ML techniques and open-source tools.

Qualifications

• 5+ years of experience in machine learning with focus on training or inference systems.
• Hands-on experience with real-time, low-latency ML pipelines in high-performance environments.
• Strong engineering skills in Python, CUDA, or C++.
• Knowledge of ML frameworks such as PyTorch, TensorFlow, or JAX.
• Proficiency in GPU programming for training and inference acceleration.
• Experience with distributed training for scaling ML workloads.
• Exposure to cloud platforms and orchestration tools.
• Track record of contributing to open-source ML projects.

Responsibilities

• Develop large-scale distributed training pipelines to manage datasets and complex models.
• Build and optimize low-latency inference pipelines for real-time production predictions.
• Develop libraries to improve the performance of machine learning frameworks.
• Maximize performance in training and inference using GPU hardware and acceleration libraries.
• Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions.
• Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining.
• Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs.
• Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities.
• Dig into the internals of open-source ML tools to extend their capabilities and improve performance.

Skills

Machine Learning

Real-time pipelines

Python

CUDA

C++

PyTorch

TensorFlow

JAX

GPU programming

Distributed training

Cloud platforms

Tools

Horovod

NCCL

CuDNN

TensorRT

CUDA toolkit

Job description

IMC, a research-driven trading firm, seeks a Machine Learning Engineer to build systems for training and deploying large-scale ML models across global operations.

You will collaborate with researchers and engineers to optimize GPU-accelerated training and low-latency inference, delivering real-time predictions in production and shaping trading strategies with advanced ML techniques and open-source tools.