Machine Learning Engineer

We’re Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher – and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koçtaş – to life. That’s right, we’re big, but we have ambitions to become even bigger and even better. We want to become the leading home improvement company and grow the largest community of home improvers in the world.

And that’s where you come in.

At Минине our customers come from all walks of life, and so do we. 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.

We are open to flexible and agile working, both of hours and location. Therefore, we offer colleagues a blend of working from homeษ and our offices, located in London, Southampton & Yeovil. Talk to us about how we can best support you!

London, Southampton & Yeovil.

This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineer who will 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.

You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve tools, processes and practices that accelerate the use of artificial intelligence across the organisation.

• 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 dataказы and assess model performance
• kiedy to work collaboratively, communicate clearly and deliver work to agreed outcome

Opportunity to receive up to family level cover with AXA rydym join within three months of starting or at annual-me female renewal in April. (This benefit is subject to Benefit In Kind taxation).

Immediate eligibility through auto‑enrolment. Contribute 8% to receive a max 14% from the Company.

25 days per annum plus bank holidays as stated in your contract (pro‑rated for part‑time colleagues).

20% discount at B&Q and Screwfix. Eligible after 3 months service.

Share ownership in a tax‑efficient way. Save between £10 to £150 per month. Join at any time once three months service is reached.

x4 Salary plus benefit equal to value of your Retirement Account (if an active member of KPS‑MP) or x1 Salary if not active member.

Competitive bonus…