Machine Learning Engineer (London)

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We’re Kingfisher, a team of over 76,000 passionate people bringing brands like B&Q, Screwfix, Brico Depot, Castorama, and Koctas to life. We aim to be the leading home improvement company and grow the largest community of home improvers worldwide. You can be part of this journey.

At Kingfisher, we value diversity and inclusivity. We are committed to equal opportunity and welcome applicants from all backgrounds, regardless of age, gender, ethnicity, or other characteristics.

We offer flexible working arrangements, including a mix of remote and office work at locations in London, Southampton, and Yeovil. Let us know how we can support your work preferences.

We are seeking Machine Learning Engineers at Senior and Mid Level to develop and deploy core ML/AI algorithms for data science challenges across the group. You will support projects from inception to production, developing quality code, and working closely with data science teams and stakeholders.

Responsibilities

• Develop high-quality machine learning models to solve business challenges
• Create production-ready code and manage automated builds and deployments
• Write comprehensive documentation
• Identify tasks, dependencies, and track progress
• Communicate effectively with colleagues and stakeholders
• Share ideas proactively and accept feedback
• Manage multiple data science projects and deliverables

Qualifications

• Strong understanding of computer science fundamentals: data structures, algorithms, data modeling, software architecture
• Experience with classical ML algorithms (e.g., Logistic Regression, Random Forest, XGBoost), research areas (e.g., NLP, Transfer Learning), and Deep Learning (e.g., BERT, LSTM)
• Proficiency in SQL and Python (Jupyter, Pandas, Scikit-learn, Matplotlib)
• Knowledge of model evaluation, data preprocessing techniques, and statistical methods

Core Values

• Customer Focus:Use data to improve customer experience
• Humanity:Act with respect and integrity
• Curiosity:Build and share new ideas, learn continuously
• Agility:Work creatively and efficiently, embrace change
• Inclusivity:Collaborate inclusively and embrace diversity
• Accountability:Take ownership and understand how your role contributes to the company's goals

We encourage applications from candidates who may not meet all requirements but are eager to contribute and grow. We offer an inclusive environment where innovation and diversity are valued. Find out more about our Diversity & Inclusion initiatives.

We also provide a competitive benefits package and opportunities for career development.

If you're interested, apply now and help us Power the Possible.

Additional Details

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

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