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Machine Learning Engineer Manager
Kingfisher plc
- London, England, United Kingdom
- London, England, United Kingdom
About
Kingfisher is a global home improvement group that includes brands such as B&Q, Screwfix, Brico Depot, Castorama and Koçtaş. With more than 74,000 employees, we are ambitious to grow further and to become the leading community of home improvers worldwide.
We embrace diversity and inclusion. All colleagues, future colleagues and applicants are treated equally regardless of age, gender, civil partnership status, colour, ethnicity or national origin, religion, disability, gender identity or sexual orientation.
What's the job?
Lead the delivery of major AI 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 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 to improve effectiveness across Group AI.
Work closely with Technology, Product and Data colleagues to shape data platforms that enable Machine Learning to be embedded into products and operational processes.
Act as a visible advocate for the use of Machine Learning within Kingfisher and 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.
What You'll Bring
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.
Be Customer Focused – constantly improving our customers’ experience
I listen to my customers.
I use available data to help make decisions.
Be Human – acting with humanity and care
I do the right thing.
I am respectful.
Be Curious – thrive on learning, thinking beyond the obvious
I build and share new ideas.
I try new things and share my learnings.
Be Agile – working with trust, pace and agility
I have the courage to be creative.
Done is better than perfect; I aim for 80/20.
Be Inclusive – acting inclusively in diverse teams to work together
I embrace allyship.
I have self‑awareness and a desire to learn.
Be Accountable – championing the plan to deliver results and growth
I own my actions.
I understand the Kingfisher plan and how it relates to my role.
At Kingfisher, we value the perspectives that new team members bring, and we want to hear from you. We encourage you to apply even if you do not meet 100% of the requirements.
In return, we offer an inclusive environment where your achievements are limited only by your imagination. We encourage new ideas, actively support experimentation, and strive to build an environment where everyone can be their best self.
We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career.
Seniority level:
Not Applicable Employment type:
Full‑time Job function:
General Business and Customer Service Industry:
Retail
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Languages
- English
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