Join Kingfisher, a leading home improvement company with a diverse team of over 82,000 passionate individuals. As a Lead Machine Learning Engineer, you will lead the research and development of ML/AI services, build and nurture a high-performing data science team, and collaborate with various teams to develop data platforms. You will also support the data leadership team in developing a "data culture" and lead efforts to promote the data science brand at Kingfisher.
Suggested summary by Welcome to the Jungle
Lead the implementation of data science projects and 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 the application of data science.
Overview
We’re Kingfisher, A team made up of over 82,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas - to life. That’s right, we’re big, but we have ambitions to become even bigger and even better. We want to become the leading home improvement company and grow the largest community of home improvers in the world. And that’s where you come in.
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, both of hours and location. Therefore, we offer colleagues a blend of working from home and our offices, located in London, Southampton & Yeovil. Talk to us about how we can best support you!
We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. You will trailblaze the development of data science algorithms, while building, leading, nurturing and retaining a high performing data science team working on banner as well as group priorities.
What’s the job?
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