4 of 4 Feature Engineering Jobs in the City of London

have missed. Develop and evaluate statistical and machine learning models. Build segmentation, propensity, forecasting and personalisation solutions that reach real customers. Apply rigour to feature engineering, validation and model performance. Design and evaluate experiments to understand genuine impact. Work with Data Engineering to create reliable model inputs ...

algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deep learning; Design and optimize machine learning pipelines and workflows, incorporating techniques for data cleaning, feature engineering, model selection, and hyperparameter tuning; and Develop scalable and efficient machine learning infrastructure and systems for training, testing, and deploying models in production ...

seeking a highly motivated Quantitative Software Engineer/Quantitative Developer to join their Systematic Strategies team in London. This is a hands‐on engineering role focused on building and scaling the technology platform that underpins the firm's systematic investment strategies. Working directly alongside Quantitative Researchers, Portfolio Managers … developing the infrastructure, tooling and production systems that support the full life-cycle of systematic trading strategies. The ideal candidate will have a strong engineering mindset, a deep understanding of quantitative research workflows, and experience building robust, scalable systems used in systematic trading environments. This role offers the opportunity ...

platform underpinning systematic investment strategies, working with Quant Researchers, PMs and Strategists. You will design and enhance the trading platform, develop back-testing and feature engineering tooling, build market data infrastructure for real-time and historical tick data, and productionise #J-18808-Ljbffr ...