ML Platform Engineer for Quant Trading

eFinancialCareers

Greater London

On-site

GBP 400,000 - 650,000

Full time

5 days ago
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Benefits offered by this job

Shape ML platform direction
Cutting-edge ML at scale
Work with world-class Researchers, Trs
Conference opportunities
Excellent compensation package
Good work-life balance

Job summary

One of the world's top quantitative market makers is expanding its Machine Learning and AI capabilities. You’ll join a growing ML Engineering team building the platforms and infrastructure that allow Researchers and Traders to develop, train, test and deploy ML models efficiently.

This is a role combining strong software engineering with a genuine understanding of Machine Learning and mathematics. You’ll work on training and inference infrastructure, improve research and experimentation

Qualifications

  • Strong software engineering and ML experience.
  • Experience with ML training/inference infrastructure and production deployment.
  • Strong mathematical foundations and ML techniques.

Responsibilities

  • Build platforms and infrastructure for researchers and traders to train, test and deploy ML models.
  • Improve research and experimentation workflows and tooling.
  • Develop intuitive APIs and tooling for ML workflows.
  • Move models from research into production and optimize deployment.
  • Collaborate with researchers and engineers to select the right ML approaches.

Skills

Strong software engineering
Machine Learning experience
Problem-solving & communication

Tools

PyTorch
JAX
TensorFlow

Job description

One of the world's top quantitative market makers is expanding its Machine Learning and AI capabilities. You’ll join a growing ML Engineering team building the platforms and infrastructure that allow Researchers and Traders to develop, train, test and deploy ML models efficiently.

This is a role combining strong software engineering with a genuine understanding of Machine Learning and mathematics. You’ll work on training and inference infrastructure, improve research and experimentation

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