[Hiring] Machine Learning Platform Engineering Manager @Kingfisher

Role Description

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 Engineering Manager who can lead the productionisation of advanced AI 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.

• Lead the delivery of major Artificial Intelligence projects and help drive the next stage of Machine Learning development within Kingfisher.
• Oversee multiple teams working across a wide range of business domains and ensure they deliver complete end-to-end Machine Learning solutions.
• Develop and support Machine Learning team leads who each manage domain-based project teams.
• Build and guide diverse teams that can translate business needs into Machine Learning solutions and communicate recommendations clearly to non-technical stakeholders.
• Create an environment of cross-team collaboration and knowledge sharing in order to improve effectiveness across Group AI.
• Work closely with Technology, Product, and Data colleagues to help shape the data platforms that enable us to embed Machine Learning into our products and operational processes.
• Act as a visible advocate for the use of Machine Learning within Kingfisher and help promote its value across the group.
• Support the wider data leadership team in developing a strong data culture and in demonstrating the importance of data-informed decisions.
• Contribute to the development and recognition of the Group AI brand both inside and outside the organisation.

Qualifications

• Strong leadership experience with the ability to build, mentor, and organise high-performing Machine Learning teams.
• Excellent stakeholder management skills with the ability to understand real business needs and influence senior decision makers.
• Solid grounding in computer science including algorithms, data structures, modelling, and software architecture.
• Strong understanding of classical Machine Learning and modern Deep Learning methods.
• Good proficiency in SQL and Python and familiarity with the Python data ecosystem.
• Experience working with Generative AI and agent-based frameworks such as LangChain or LangGraph.
• Clear understanding of the Machine Learning development lifecycle and MLOps principles.
• Proven experience delivering AI solutions into production environments including cloud-based services.
• Confidence working with CI/CD, data pipelines, and containerised deployments such as Kubernetes and Kubeflow.
• Strong communication skills and the ability to manage several technical projects simultaneously.

Benefits

• An inclusive environment where your potential is limited only by your imagination.
• Encouragement of new ideas and support for experimentation.
• Competitive benefits package.
• Plenty of opportunities to stretch and grow your career.

Company Description

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.