Senior Research Engineer

Overview

In this role you will help lead the development and global rollout of a research framework for training models used in production trading. You will partner with Quantitative Researchers to test hypotheses and build data-driven trading strategies, while expanding the framework to integrate with production systems. This is a chance to shape a scalable, data-driven research platform at Flow Traders in London, combining research with production deployment to drive alpha signals.

Responsibilities

• Lead development and rollout of the research framework for training models and integrating it with the production platform
• Collaborate with Quantitative Researchers to test hypotheses and refine data-driven trading strategies and alpha signals
• Design and implement end-to-end ML pipelines, including data preprocessing, model training, deployment, and monitoring
• Support modernization of software development practices and tools (Agile, version control, CI/CD, observability)
• Contribute to the global deployment and reliability of the research framework across data sources and platforms

Key requirements

• Advanced degree (Masters or PhD) in Machine Learning, Statistics, Physics, Computer Science or similar
• 8+ years of hands-on experience in MLOps, Research Engineering, or ML Research
• Strong background in mathematics and statistics
• Proficiency in Python and libraries such as numpy, pytorch, polars, pandas, and ray
• Experience in end-to-end ML pipelines (data preprocessing, training, deployment, monitoring)
• Understanding of modern software development practices and tools (Agile, version control, automated testing, CI/CD, observability)
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
• Collaborative mindset and ability to work with cross-functional teams
• Strong analytical and problem-solving abilities
• Proactive communication and clear technical storytelling
• Python programming
• numpy
• pytorch

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