2 of 2 Feature Engineering Jobs in the East Midlands

deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems. Key Responsibilities Design, develop, and deploy machine learning models and pipelines in production environments Collaborate with data scientists … software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain models to ensure continued performance over time Implement best practices for version control, testing, and CI/ ...

emphasis is on refinement, optimisation and continuous improvement rather than building from scratch. You will be responsible for the intellectual core of the models: Feature engineering across financial, behavioural and transactional data Algorithm selection and tuning (logistic regression, gradient boosting, ensemble methods) Model validation, performance optimisation and ongoing … recalibration Ensuring models remain robust in changing economic conditions You will not be responsible for infrastructure, pipelines or deployment. A dedicated engineering team manages AWS and production environments, allowing you to focus on modelling and analytics. This is a highly visible role with direct exposure to senior stakeholders. ...