6 of 6 Feature Engineering Jobs in Central London

evaluate, and improve machine learning models and algorithms for Content AI applications. Design and implement end-to-end machine learning solutions, including data preparation, feature engineering, model training, validation, deployment, monitoring, and continuous optimisation. Apply statistical analysis, experimentation, and data-driven decision-making to assess model performance … reliability, latency, drift, and business impact. Evaluate trade-offs between model quality, scalability, latency, and infrastructure cost when developing AI-powered products. Partner with engineering teams to deploy and scale machine learning systems in production. Produce clear technical documentation and share expertise through mentorship, design reviews, and technical leadership. ...

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 ...

holiday What you'll be doing.... • Building and improving risk pricing models using GLMs and more advanced machine learning techniques • Driving R&D and feature engineering to keep raising the sophistication of the team's models • Monitoring expected loss ratios, risk mix and pricing assumptions, and turning findings ...

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 ...