Senior 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 Koctas to life. Guided by our purpose Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement. 

This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Senior 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.

Key Accountabilities / Responsibilities:

• Proven experience delivering end-to-end machine learning solutions into production environments
• Strong Python skills and experience across the full ML development lifecycle, from data preparation to model deployment
• Strong understanding of machine learning techniques and how to apply them to real business problems
• Solid experience with SQL and building robust data pipelines
• Experience deploying and operating ML services using cloud platforms and containerised infrastructure
• Ability to communicate technical concepts clearly to both technical and non-technical audiences
• Experience mentoring more junior engineers and contributing to team capability

• Proven experience delivering end-to-end machine learning solutions into production environments
• Strong Python skills and experience across the full ML development lifecycle, from data preparation to model deployment
• Strong understanding of machine learning techniques and how to apply them to real business problems
• Solid experience with SQL and building robust data pipelines
• Experience deploying and operating ML services using cloud platforms and containerised infrastructure
• Ability to communicate technical concepts clearly to both technical and non-technical audiences
• Experience mentoring more junior engineers and contributing to team capability

How We Work 
We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average within our Engineering team - 40% of your time involving in-person collaboration. 

We value the perspectives new team members bring and encourage you to apply - even if you don’t meet 100% of the requirements. 

What We Offer 
An inclusive environment where your potential is limited only by your imagination. We encourage new ideas, support experimentation, and strive to create a workplace where everyone can be their best self. Find out more about Diversity & Inclusion at Kingfisher here  

We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Scroll down below to find out more about our benefits. 

Diversity & Inclusion 
Our customers come from all walks of life - and so do we. We’re committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation. 

Interested? Great, apply now and help us to Power the Possible. 

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