Machine Learning Engineer

SteelEye is a fast-moving RegTech (Regulatory Technology) start-up that is helping financial companies (e.g. banks, investment firms, brokers, hedge funds, and asset managers) meet their obligations under various global financial regulations.

Our work enhances financial compliance, prevents market abuse, and promotes trust in the financial markets. Our people are passionate about leveraging data and technology to make this happen.

As an ML Engineer, you’ll help build and deploy data science capabilities that power our communications and trade surveillance analytics. You’ll work across feature engineering, model development and experimentation, collaborating with engineering and product stakeholders to deliver reliable, measurable improvements.

Key responsibilities

• Build and iterate onNLP/comms surveillancemodels and analytics to extract signals from communications datasets (e.g., classification, clustering, entity extraction, similarity)