Summary

Senior machine learning engineer role focused on productionising machine learning pipelines and low-latency trading systems for sports betting analytics. The role uses a hybrid python and c++ stack with tools including pytorch, polars, ray, plotly, dash, and cloud platforms, and follows a hybrid working arrangement with Thursdays in the London office.

Responsibilities

• Design and productionise machine learning pipelines
• Build data engineering workflows and tooling
• Develop low-latency trading software components
• Optimise performance-critical c++ architecture
• Deploy and monitor real-time ml models
• Support strategy research with quantitative teams