2 of 2 Permanent Random Forest Jobs in London

Experience in financial markets, algo-trading, or prediction market platforms (Polymarket, Manifold, etc.) Quantitative background in maths, statistics, or probability theory ML experience including random forests, regression models, scikit-learn, and PyTorch AWS infrastructure experience deploying containerised applications and managing cloud environments (EC2, Lambda, RDS) Open-source contributions ...

optimization algorithms for business applications Preferred Qualifications Experience in professional software development Experience in standard machine-learning and statistical modeling tools and techniques (e.g. random forests, gradient-boosted regression, LASSO, logistic regression) Strong track record of publications at top-tier journals or conferences Experience with integer programming, dynamic programming ...