machine learning engineer for retail products

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.

• 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.

• 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.

• 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.