Machine Learning Engineer

b Overview /b p As Machine Learning Engineer you will design, train, and optimise models for user personalisation within a business-critical programme at a leading consultancy. You will build scalable data pipelines, deploy models to production, and lead experiments to drive continuous improvement. Collaborating with cross-functional teams, you’ll align ML initiatives with business goals and explore cutting-edge research for potential integration. This role offers impact through improving recommendations, segmentation, and content analysis in a dynamic client-facing environment. /p b Responsibilities /b ul li Design, train and optimise ML models for personalisation (recommendation engines, ranking, segmentation, content analysis) /li li Build and maintain scalable data pipelines for feature engineering and model training on large-scale structured and unstructured data /li li Deploy, monitor and maintain ML models in production ensuring availability and performance /li li Lead A/B tests and offline experiments to evaluate model efficacy and drive improvements /li li Collaborate with cross-functional teams to align ML work with business objectives and user needs /li li Research emerging ML and deep learning methods for potential integration into existing systems /li /ul b Key requirements /b ul li cross-functional collaboration /li li analytical thinking /li li communication /li li machine learning model design and optimisation /li li feature engineering for large-scale datasets /li li data pipeline engineering /li /ul