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Machine Learning Engineer (W/M/D)

Kingfisher plc
Birmingham
2 weeks ago
Applications closed

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Machine Learning Engineer (UK)

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. We have ambitions to become the leading home improvement company and grow the largest community of home improvers in the world. 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. We are looking for Machine Learning Engineers at Senior and Mid Level to join our growing team, to develop and deploy core ML/AI algorithms required to tackle data science challenges across Kingfisher Group. You will support data science projects from start to production, developing quality code and carrying out automated builds and deployments, working closely with colleagues in the Data Science team as well as stakeholders across the business. Develop high-quality machine learning models to solve business challenges Develop production quality code and carry out basic automated builds and deployments Ability to work on multiple data science projects and manage deliverables Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling, and software architecture Solid understanding of classical Machine Learning algorithms (e.G., Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc.) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data hypothesis testing; Be Agile: Working with trust, pace, and agility Find out more about Diversity & Inclusion at Kingfisher here! We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Great, apply now and help us to Power the Possible. Private Health Care: Opportunity to receive up to family level cover with Bupa. ~ Kingfisher Pension Scheme: Immediate eligibility through auto-enrolment. ~25 Days' Holiday: 25 days per annum plus bank holidays. ~ Staff Discount: 20% discount at B&Q and Screwfix. ~ Kingfisher Share Incentive Plan (SIP): Share ownership in a tax-efficient way. ~ Life Assurance: x4 Salary plus benefit equal to value of your Retirement Account. ~ Bonus: Competitive bonus scheme. ~ Kingfisher Share Save: Save with the option to buy Kingfisher plc shares. Step 1: Send in your application via our Kingfisher Careers website. # A member of the Talent Acquisition team will review your application. # Telephone interview/one-to-one conversation with a recruiter. # Step 4: Face-to-face or virtual interview. #

National AI Awards 2025

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