Machine Learning Engineer

We’re Kingfisher, a team of over 74,000 people bringing Kingfisher and our brands (B&Q, Screwfix, Brico Depot, Castorama and Koctas) to life. We aim to become the leading home improvement company and the largest community of home improvers in the world. We’re looking for a Machine Learning Engineer to join our growing team to develop and deploy core ML/AI algorithms 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 the Data Science team and stakeholders across the business.

We are open to flexible and agile working, with a blend of working from home and offices in London, Southampton and Yeovil. Talk to us about how we can best support you.

• Develop high-quality machine learning models to solve business challenges
• Develop production-quality code and carry out basic automated builds and deployments
• Write comprehensive, well-written documentation that meets our needs
• Identify work and dependencies, track progress through a set of tasks
• Communicate clearly with colleagues and business stakeholders
• Proactively share ideas with colleagues and accept suggestions
• 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. Logistic Regression, Random Forest, XGBoost) and modern deep learning approaches (e.g. NLP, Transfer Learning, BERT, LSTM)
• 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 (standardisation, normalisation, handling missing data)
• Solid understanding of summary, robust, and nonparametric statistics; hypothesis testing, probability distributions, sampling techniques, and stochastic processes

• Be Customer Focused – constantly improving our customers’ experience
• Be Human – acting with humanity and care
• Be Curious – thrive on learning, thinking beyond the obvious
• Be Agile – working with trust, pace and agility
• Be Inclusive – acting inclusively in diverse teams to work together
• Be Accountable – championing the plan to deliver results and growth

At Kingfisher, we value the perspectives that any new team members bring, and we encourage you to apply even if you do not feel you meet 100% of the requirements. We offer an inclusive environment with opportunities to stretch and grow your career, support for experimentation, and a commitment to Diversity & Inclusion. Find out more about Diversity & Inclusion at Kingfisher here. We also offer a competitive benefits package.

Interested? Great, apply now and help us to Power the Possible.

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Design and Information Technology
• Industries: Retail

London, England, United Kingdom – various recent postings and updates available.