Machine Learning Engineering Manager

• Lead delivery of major AI projects and advance ML development within Kingfisher.
• Oversee multiple teams across business domains, ensuring end-to-end ML solutions.
• Develop and support ML team leads overseeing domain-based project teams.
• Build diverse teams that translate business needs into ML solutions and communicate recommendations to non-technical stakeholders.
• Foster cross-team collaboration and knowledge sharing across Group AI.
• Partner with Technology, Product and Data colleagues to shape data platforms that embed ML into products and processes.
• Advocate for the value of ML throughout the group.
• Support the data leadership team in building a strong data culture and evidence-based decisions.
• Contribute to the recognition and growth of the Group AI brand.

• Strong leadership experience building, mentoring and organising high-performing ML teams.

• Excellent stakeholder management and influence skills.

• Solid grounding in computer science - algorithms, data structures, modelling and software architecture.

• Deep understanding of classical ML and modern deep-learning methods.

• Proficiency in SQL and Python with familiarity of the Python data ecosystem.

• Experience with Generative AI and agent-based frameworks such as LangChain or LangGraph.

• Clear grasp of the ML development lifecycle and MLOps principles.

• Proven experience delivering AI solutions to production, including cloud-based services.

• Comfort with CI / CD, data pipelines and containerised deployments such as Kubernetes and Kubeflow.

• Strong communication skills and ability to manage multiple technical projects simultaneously. Core Behaviours

• Be Customer Focused - constantly improving our customers' experience.

• Be Human - act with humanity and care.

• Be Curious - thrive on learning and think beyond the obvious.

• Be Agile - work with trust, pace and agility.

• Be Inclusive - act inclusively in diverse teams.

• Be Accountable - champion plans to deliver results and growth.

Private Health Care - Opportunity to receive up to family level cover with AXA. Join within three months of starting or at annual renewal in April (benefit in kind taxation applies). Kingfisher Pension Scheme - Immediate eligibility through auto-enrolment. Contribute 8% to receive a maximum 14% from the Company. Holiday - 25 days per annum plus bank holidays, pro-rated for part-time colleagues. Staff Discount - 20% discount at B&Q and Screwfix, eligible after 3 months' service. Share Incentive Plan (SIP) - Share ownership in a tax-efficient way. Join after three months' service. Life Assurance - x4 salary plus benefit equal to the value of your retirement account (if a member of KPS-MP) or x1 salary if not. Bonus - Competitive bonus scheme aligned to role level. Share Save - Option to purchase Kingfisher plc shares after a 3 or 5 year period. Requires three months' service at the invitation date. Development & Growth We provide training, resources and regular conversations with senior leaders to help you build career paths across the organisation. Why Join Kingfisher We're an innovative, international retailer driven to make a positive difference. Join us to collaborate, grow, and be part of a community that values inclusivity and innovation.

We're Kingfisher, a team of over 82,000 passionate people who bring our brands - B&Q, Screwfix, Brico Depot, Castorama, and Koçtaş - to life. We aim to become the leading home-improvement company and grow the largest community of home improvers in the world. We're committed to equal opportunity, treating all employees and applicants fairly regardless of age, gender, civil partnership status, race, ethnicity, religion, disability, gender identity, orientation, and more. We offer flexible working hours and locations, with a blend of remote and office work in London, Southampton, and Yeovil. Machine Learning Engineering Manager - you will lead the productionisation of advanced AI solutions developed by our Group AI team and help shape the customer and colleague experience across one of Europe's largest retail groups.