Senior AI Engineer

This is a unique opportunity for an experienced AI engineer to join a specialised team building AI-driven trading and quantitative systems operating at significant scale across global financial markets. You will work at the intersection of machine learning, time-series modelling, and algorithmic strategy developing models that directly influence trading decisions and market performance. If you have a strong background in ML applied to financial data and a deep understanding of market microstructure, this role was written for you. The Role Design, build, and deploy production-grade ML models for algorithmic trading, signal generation, and quantitative research pipelines. This is a hands-on engineering role with significant ownership over how AI shapes strategy and execution. You will collaborate closely with quant researchers and trading teams to translate complex financial problems into robust, low-latency ML solutions, and play a key role in defining the technical architecture of the platform.

Master's or PhD in Machine Learning, AI, CompSci, Mathematics, or a quantitative discipline5+ years of ML engineering experience, ideally within finance or a quantitative environmentExpert in Python and deep learning frameworks: PyTorch and / or TensorFlowStrong experience with time-series modelling, forecasting, and financial signal generationFamiliarity with reinforcement learning applied to trading or sequential decision-makingUnderstanding of market microstructure, order book dynamics, or quantitative finance fundamentalsProven track record of deploying low-latency, high-reliability models to production If this role is of interest, please apply below.