Senior Machine Learning Engineer
We’re Kingfisher, a leading home improvement company with brands such as B&Q, Screwfix, Brico Depot, Castorama and Koçtaş.
We are looking for a Senior Machine Learning Engineer to support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will help shape how millions of customers and colleagues experience our products, services and decision‑making across our retail brands.
This is an opportunity to make a significant impact across one of the largest retail groups in Europe.
We want to ensure that all colleagues, future colleagues, and applicants to Kingfisher are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation.
Key Accountabilities / Responsibilities
* Develop machine learning models and support their deployment into production
* Write production quality code that is robust, efficient and maintainable
* Contribute to the implementation and improvement of pipelines, tooling and automation
* Apply good engineering standards and practices in model development
* Monitor performance and contribute to ongoing optimisation of models
* 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 an awareness of modern approaches such as natural language processing and deep learning
* Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter
* Experience working with SQL and data pipelines to prepare and transform data for model training
* Understanding of model evaluation, monitoring and improving performance in a production environment
* Familiarity with tools and practices for deploying models, ideally including Git, CI workflows and containerisation
* Comfortable working with statistical concepts to interpret data and assess model performance
* Ability to work collaboratively, communicate clearly and deliver work to agreed outcome
Locations
London, Southampton, Yeovil
Benefits
We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career.
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