Senior Machine Learning Engineer

As a Senior Machine Learning Engineer, you’ll play a key role in building and scaling Axi’s data-driven trading capabilities. You’ll focus on developing machine learning models and quantitative frameworks using large-scale datasets, helping uncover insights that drive smarter trading and risk decisions.

This is a hands-on technical role at the intersection of machine learning, data engineering, and quantitative research — ideal for someone who enjoys working with complex datasets and translating them into real-world impact.

What you’ll do

Design and build machine learning models using large-scale datasets (millions to billions of rows), including time-series and event-driven data

Analyse client behaviour, flow data, and market signals to uncover actionable insights

Develop data-driven approaches to support trading strategies, risk optimisation, and execution efficiency

Work with structured and unstructured datasets to identify patterns, anomalies, and predictive signals

Collaborate with trading, product, and engineering teams to translate models into production-ready solutions

Evaluate model performance using historical and real-time data, ensuring robustness and scalability

Continuously improve modelling approaches, feature engineering, and data pipelines

Contribute to building a scalable quantitative and machine learning ecosystem within the firm

What we’re looking for

Strong experience in machine learning / data science, particularly working with large and complex datasets

Proven experience building models using time-series data or high-frequency/event-driven datasets

Solid foundation in statistics, predictive modelling, and data analysis

Strong hands-on programming skills in Python

Experience working with data at scale (e.g. distributed systems, large databases, or streaming data)

Ability to work independently, prioritise effectively, and deliver high-quality technical solutions

Nice to have (but not required)

Exposure to trading, financial markets, or quantitative finance concepts

Experience working with client behaviour / segmentation / transaction data

Familiarity with kdb+ / KDB or other time-series databases

Understanding of systematic trading or execution strategies