Machine Learning Engineer

Machine Learning Engineer - Outside IR35 Contract • 6 months initial contract • 2 days a week in Warwick office • Outside IR35 • Energy/Utilities sector As Machine Learning Engineer you will be responsible for designing, training and applying machine learning models to solve defined business problems. This engagement will require a Machine Learning Engineer who is comfortable working autonomously, refining model performance, and delivering production-ready solutions. Machine Learning Engineer Key Responsibilities • Design, develop and optimise machine learning models using Python • Train and validate traditional ML algorithms on structured datasets • Apply appropriate evaluation metrics and performance tuning techniques • Translate business requirements into robust ML solutions • Deploy or hand over trained models for operational use • Clearly document methodology and model performance Essential Skills & Experience • Strong hands on commercial experience in Python development • Proven experience working with traditional machine learning models (e.g. regression, classification, clustering, ensemble methods) • Demonstrable experience training, validating and applying custom ML models • Strong understanding of core Machine Learning concepts (feature engineering, overfitting, bias/variance trade-off, cross-validation, model evaluation) • Experience working with common ML libraries (e.g. scikit-learn, pandas, NumPy)