machine learning engineer for retail products

Описание: Kingfisher plc is one of the largest retail groups in Europe, operating brands including B&Q, Screwfix, Brico Depot, Castorama and Koctas. It helps customers improve their homes through retail products and services. Задачи: Develop machine learning models and support their deployment into production; Write robust, efficient and maintainable production-quality code; Contribute to implementing and improving pipelines, tooling and automation; Apply good engineering standards and practices in model development; Monitor model performance and contribute to ongoing optimisation; Work with colleagues to understand requirements and priorities; Share knowledge, contribute ideas and support a collaborative team culture. Требования: Good understanding of computer science fundamentals, including data structures, algorithms and software design; Practical experience with classical machine learning techniques and awareness of natural language processing and deep learning; Strong Python skills and experience with Pandas, scikit-learn and Jupyter; Experience with SQL and data pipelines for preparing and transforming training data; Understanding of model evaluation, monitoring and performance improvement in production; Familiarity with model deployment tools and practices, including Git, CI workflows and containerisation; Comfortable working with statistical concepts to interpret data and assess model performance; Ability to collaborate, communicate clearly and deliver agreed outcomes. Условия: Hybrid model with home working and in-person collaboration; engineering team members spend around 40% of their time collaborating in person; Competitive benefits package; Opportunities for career growth; Inclusive workplace with diversity and inclusion commitments.