Senior ML Engineer — Real-Time Distributed Training

IMC; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

IMC is seeking a Machine Learning Engineer in London to help design and deploy large-scale ML models for trading applications. You will build distributed training pipelines, optimize low-latency inference, and collaborate with researchers and HPC specialists to accelerate experimentation and reduce costs.

You will work with Python, CUDA, and C++, and leverage PyTorch/TensorFlow/JAX, Horovod/NCCL, CuDNN, TensorRT in a high-performance environment.

Qualifications

• 5+ years of ML experience with training or inference systems.
• Hands-on experience with real-time, low-latency pipelines in high-performance envs.
• Strong engineering skills: Python, CUDA, or C++.
• Knowledge of PyTorch, TensorFlow, or JAX.
• Proficiency in GPU programming for training/inference acceleration.

Responsibilities

• Develop large-scale distributed training pipelines for datasets and models.
• Build and optimize low-latency inference pipelines for real-time production.
• Create libraries to improve ML framework performance.
• Maximize training/inference performance using GPUs and acceleration libraries.
• Collaborate with researchers to automate experiments and model retraining.
• Partner with HPC specialists to optimize workflows and reduce costs.

Skills

Python

CUDA / C++

PyTorch

TensorFlow / JAX

GPU programming

Distributed training

Cloud platforms

Open-source contributions

Low-latency pipelines

Tools

Horovod

NCCL

TensorRT

CuDNN

Job description

IMC is seeking a Machine Learning Engineer in London to help design and deploy large-scale ML models for trading applications. You will build distributed training pipelines, optimize low-latency inference, and collaborate with researchers and HPC specialists to accelerate experimentation and reduce costs.

You will work with Python, CUDA, and C++, and leverage PyTorch/TensorFlow/JAX, Horovod/NCCL, CuDNN, TensorRT in a high-performance environment.