Machine Learning Platform Engineering Manager

Kingfisher plc Greater London, England

Contract
Hybrid

Job description

As a Machine Learning Platform Engineering Manager, the work centres on supporting the wider data leadership team in developing a strong data culture and in demonstrating the importance of data‑informed decisions. It would suit someone who can bring strong professional approach to the role.

How the role is set up

On average within our Engineering team – 40% of your time involves 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.

Where someone would start

Supporting the wider data leadership team in developing a strong data culture and in demonstrating the importance of data‑informed decisions. Leading the delivery of major Artificial Intelligence projects and help drive the next stage of Machine Learning development within Kingfisher. Overseeing multiple teams working across a wide range of business domains and ensure they deliver complete end‑to‑end Machine Learning solutions.

What helps someone build confidence

Strong professional approach.

What is expected

  • Strong leadership experience with the ability to build, mentor and organise high‑performing Machine Learning teams.
  • Proven experience delivering AI solutions into production environments including cloud‑based services.
  • Experience working with Generative AI and agent‑based frameworks such as LangChain or LangGraph.

Job details

  • We’re Kingfisher, a team made up of over 74,000 passionate people bringing Kingfisher and our other brands – B&Q, Screwfix, Brico Dépôt, Castorama and Koctasto life – guided by our.
  • 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.
  • Guide the delivery of real‑world Machine Learning systems across the business and help establish a strong engineering culture across our AI organisation.
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