ML Engineer

Our client, a leading global macro hedge fund is looking for a Machine Learning Engineer in London to support its Data Science function, working closely with Quant Research, Trading, Risk, and Technology teams. The team operates as a hybrid Data Science and Engineering unit, responsible for designing, building, and deploying data-driven solutions that feed both systematic and discretionary trading strategies, with a focus on large-scale financial and alternative datasets, real-time model pipelines, and advanced analytical tooling.Responsibilities:Develop and deploy machine learning models and time-series forecasting solutions across large-scale financial and alternative datasetsPartner with Quant Researchers, Portfolio Managers, and Technology teams to deliver data-driven insights and production-grade solutionsDesign and maintain data pipelines processing high-frequency market data, news, and other unstructured datasetsApply advanced statistical and machine learning techniques to enhance research and trading strategiesBuild scalable systems that deliver model outputs to multiple stakeholders in real-time environmentsRequirements:Degree in Computer Science, Engineering, or a quantitative discipline3+ years of hands-on experience in machine learning and statistical modelling on large datasetsStrong programming skills in Python (preferred) or C++, with experience in distributed data technologies such as Spark/Scala and SQLExperience building and deploying production-level systems or models, ideally in containerised environmentsSolid understanding of statistics, optimisation, and time-series analysis, with the ability to communicate findings effectively