ML Engineer: Distributed Training & Low-Latency Inference

IMC Trading; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

IMC Trading is seeking a Machine Learning Engineer to develop systems that advance the training and deployment of large-scale ML models. Collaborate with experts in hardware and software to enhance trading strategies through innovative solutions.

Key responsibilities include building distributed training pipelines and low-latency inference systems, requiring strong skills in Python and GPU programming. Join a collaborative environment at IMC to shape the future of trading through technology.

Qualifications

• 5+ years of experience in machine learning focused 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++.

Responsibilities

• Develop large-scale distributed training pipelines to manage datasets and complex models.
• Build and optimize low-latency inference pipelines for real-time predictions.
• Collaborate with quantitative researchers to automate ML experiments.

Skills

Machine learning

Python

CUDA

C++

PyTorch

TensorFlow

JAX

GPU programming

Distributed training

Cloud platforms

Job description

IMC Trading is seeking a Machine Learning Engineer to develop systems that advance the training and deployment of large-scale ML models. Collaborate with experts in hardware and software to enhance trading strategies through innovative solutions.

Key responsibilities include building distributed training pipelines and low-latency inference systems, requiring strong skills in Python and GPU programming. Join a collaborative environment at IMC to shape the future of trading through technology.