2 of 2 Permanent Random Forest Jobs in London

quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command ...

solve problems Good experience in Python, NodeJS, ReactJS, Java Agentic Framework experience is an added advantage Experience using LLMs, ML algorithms of NLP, random-forest or other algos Experience in design, implementation, or consulting in applications and infrastructures experience Experience in SQL and noSQL Databases ...