Netrolynx AI
Machine Learning Engineer
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About The Company
Kingfisher is a leading international home improvement company dedicated to helping millions of customers create better homes and improve their lives. With a diverse portfolio of brands including B&Q, Screwfix, Brico Depot, Castorama, and Koctas, Kingfisher operates across multiple markets in Europe and beyond. The company employs over 74,000 passionate professionals committed to delivering innovative products, exceptional customer service, and sustainable business practices. Guided by its purpose of Better Homes. Better Lives. For Everyone., Kingfisher strives to make a positive impact on communities, promote environmental responsibility, and foster a culture of continuous improvement and inclusivity.
About The Role
We are seeking a talented Machine Learning Engineer to join Kingfisher’s Group AI team. This role offers an exciting opportunity to contribute to the development, deployment, and operationalization of advanced artificial intelligence solutions that will influence the customer experience and operational efficiency across our retail brands. As part of a high-performing engineering team, you will build scalable, robust, and efficient machine learning systems that support decision-making, enhance product offerings, and streamline business processes. Your work will directly impact how millions of customers and colleagues interact with our products and services, shaping the future of home improvement retail.
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Qualifications
The ideal candidate will possess a strong foundation in computer science and machine learning, with practical experience in deploying AI models in production environments. Key qualifications include:
- Proficiency in Python
- Familiarity with relevant libraries such as Pandas, scikit-learn, and Jupyter notebooks
- Experience with SQL and data pipelines for data preparation and transformation
- Solid understanding of classical machine learning techniques
- Awareness of modern approaches like natural language processing and deep learning
- Familiarity with deployment tools and practices, including version control systems like Git, CI/CD workflows, and containerization technologies
- Excellent communication skills
- Ability to collaborate effectively
- Proactive mindset
Responsibilities
- Develop and implement machine learning models, ensuring their robustness and efficiency for deployment in production environments.
- Write high-quality, maintainable, and scalable code that adheres to engineering standards.
- Contribute to the design, improvement, and automation of data pipelines, tooling, and workflows to accelerate AI adoption across the organization.
- Monitor model performance continuously, identify areas for improvement, and optimize models for better accuracy and efficiency.
- Collaborate with cross-functional teams including engineering, product management, and architecture to understand requirements, set priorities, and deliver solutions that meet business needs.
- Share knowledge, provide technical guidance, and foster a collaborative culture within the team.
- Apply statistical concepts to interpret data, evaluate model performance, and support data-driven decision-making.
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Benefits
Kingfisher offers an inclusive and dynamic work environment where innovation and creativity are valued. We support flexible working arrangements to promote work-life balance, with a hybrid model that combines remote work and in-office collaboration. Our comprehensive benefits package includes:
- Competitive salary
- Health and wellness programs
- Pension schemes
- Opportunities for professional development and career growth
We believe in recognizing and rewarding talent, fostering diversity, and creating a workplace where everyone can thrive and reach their full potential.
Equal Opportunity
At Kingfisher, we are committed to fostering an inclusive environment where all colleagues, applicants, and stakeholders are treated with fairness and respect. We celebrate diversity in all its forms and ensure equal opportunities regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation. We believe that diverse teams drive innovation and better serve our customers, and we are dedicated to creating a workplace that reflects the communities we operate in.
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