ML Engineer: Distributed Training & Low-Latency Inference

IMC; Greater London; On-site; GBP 75,000 - 115,000; Full time

Job summary

IMC Trading is seeking a Machine Learning Engineer to develop systems that advance training and deployment of large-scale ML models. You will build distributed training pipelines and low-latency inference systems, collaborating with hardware and software experts to enhance trading strategies through technology.

The role emphasizes strong Python skills and GPU programming in a collaborative, innovative environment at IMC, shaping the future of trading through advanced ML.

Qualifications

• Experience building end-to-end ML training pipelines.
• Demonstrated ability to deploy large-scale ML models to production.
• Strong Python skills and software engineering discipline.

Responsibilities

• Build distributed training pipelines for large models.
• Develop low-latency inference systems for real-time decision making.
• Collaborate with hardware and software teams to optimize performance.

Skills

Python

GPU programming

Distributed training

Low-latency inference

Team collaboration

Tools

TensorFlow

PyTorch

CUDA

Distributed systems

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.