Machine Learning Engineer (Research)

Machine Learning Research Engineer – Hedge Fund Trading StrategiesWe are working with a world-leading trading firm seeking experienced Machine Learning Research Engineers to help develop cutting-edge trading strategies, forecasting models, and research infrastructure.This is an opportunity to apply advanced machine learning to complex financial markets problems within a highly technical, research-driven environment.What You’ll Do;Build ML and deep learning models for trading and alpha researchWork with large-scale financial and alternative datasetsDevelop research tools, training pipelines, and backtesting systemsCollaborate with researchers, engineers, and portfolio managersApply techniques across time-series modelling, NLP, RL, and statistical learningWhat We’re Looking For;PhD in ML, Computer Science, Maths, Physics, Statistics, or similar3+ years’ experience in machine learning or research engineeringStrong Python and ML framework experience (PyTorch, JAX, TensorFlow)Experience building scalable ML systems on complex datasetsStrong mathematical and analytical foundationsInterest in quantitative finance and trading strategiesNice to HaveDistributed training / GPU optimisationCUDA, Triton, or high-performance computing experienceExperience in hedge funds, systematic trading, or financial data environmentsPublications or open-source ML contributionsWhy Join?Work on real trading and investment research problemsHigh-impact, front-office environmentExposure to sophisticated quantitative research teamsStrong long-term career progression in quantitative financeIf you’re interested in applying machine learning to live trading and investment research, we’d love to hear from you.