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G-Research is a leading quantitative finance research firm, applying scientific rigour to solve complex challenges in financial markets. From our offices in London and Dallas, we bring together world-class researchers and engineers in a culture that values deep exploration, methodical execution, and long-term thinking. Grounded in honesty, curiosity, and care for our people, we focus on developing smart, enduring strategies that deliver lasting impact.

G-Research

Machine Learning Workflow Engineer

London

We are looking for exceptional engineers to help us build out a mature ML research and deploy pipeline as part of our ML Workflows team. This is an exciting role. You will develop greenfield solutions to meet highly complex ML interdependency requirements. Where off-the-shelf tools fall short, you’ll build custom solutions to define best practice across quantitative research.

Future projects include:

  • Implementing best practice feature and model stores
  • Properly versioning features, data and models
  • Improving inference compute utilisation via model serving
  • CI/CD for ML
  • Reliably fitting models with complex job dependency graphs
  • Robustness in production, including validation and monitoring
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