Lead Machine Learning Engineer

We’re Kingfisher, a team made up of over 74,000 passionate people who bring Kingfisher and all our other brands such as 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.

At Kingfisher, our customers come from all walks of life, and so do we. We want to ensure that all colleagues, future colleagues, and applicants to Kingfisher are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation.

We are open to flexible and agile working hours and locations. We offer colleagues a blend of working from home and our offices.

• Lead the implementation of data science projects and data science approaches to support commercial goals.
• Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working.
• Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data science and embed the use of data science directly in our products and processes.
• Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results.
• Be a champion and role model for the application of data science across the Kingfisher group.
• Support the data leadership team in developing a “data culture” and demonstrating the value of data in our decision making.
• Lead our efforts to develop the data science (and broader customer analytics) “brand” at Kingfisher for both internal and external audiences.

• Proven experience delivering high-quality AI‑based products and productionisation of Machine Learning based products.
• Proven experience developing cloud‑based machine learning services using one or more cloud providers (preferably GCP).
• Excellent understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.).
• Strong knowledge of SQL and Python’s ecosystem for data analysis (Jupyter, Pandas, Scikit‑Learn, Matplotlib).
• Strong software development skills (Python is the preferred language).
• Strong management and leadership skills – previous experience managing a team.
• Strong influencing, communication and stakeholder management skills.

Opportunity to receive up to family level cover with AXA. Join within three months of starting or at annual renewal in April. (This benefit is subject to Benefit In Kind taxation).

Immediate eligibility through auto‑enrolment. Contribute 8% to receive a max 14% from the Company.

25 days per annum plus bank holidays as stated in your contract (pro‑rated for part‑time colleagues).

20% discount at B&Q and Screwfix. Eligible after 3 months service.

Share ownership in a tax‑efficient way. Save between £10 to £150 per month. Join at any time once three months service is reached.

4× Salary plus benefit equal to value of your Retirement Account (if an active member of KPS‑MP) or 1× Salary if not active member.

Competitive bonus scheme that aligns to work level of role.

Save with the option to buy Kingfisher plc shares at the end of a 3 or 5 year period. Offered annually. Three months service is required at the annual invitation date, normally in October.