AgileGrid Solutions
Machine Learning Engineer
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About The Company
Kingfisher is a leading home improvement company with a diverse portfolio of brands including B&Q, Screwfix, Brico Depot, Castorama, and Koctas. With over 74,000 passionate employees across multiple countries, Kingfisher is dedicated to transforming the way people improve their homes. Guided by the purpose of Better Homes. Better Lives. For Everyone, the company strives to create a better world starting from the foundation—homes. Kingfisher leverages innovation, sustainability, and customer-centric solutions to stay at the forefront of the retail home improvement industry. The organization fosters a dynamic and inclusive work environment that encourages creativity, collaboration, and continuous development, making it an ideal place for professionals seeking meaningful impact and career growth.
About The Role
We are seeking a skilled 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 enhance customer experiences and streamline decision-making processes across our retail brands. As a key member of a high-performing engineering team, you will be instrumental in building scalable machine learning systems that are robust, efficient, and suitable for live environments. Your work will directly influence how millions of customers and colleagues interact with our products and services, shaping the future of home improvement retail. The ideal candidate will have a strong technical background, a passion for innovation, and a collaborative mindset to work effectively across cross-functional teams including engineering, product management, and architecture.
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Qualifications
The successful candidate will possess a solid foundation in computer science principles, including data structures, algorithms, and software design. Practical experience with classical machine learning techniques is essential, along with an awareness of modern approaches such as natural language processing and deep learning. Proficiency in Python and familiarity with libraries like Pandas, scikit-learn, and Jupyter Notebook are required. Experience working with SQL and data pipelines for data preparation and transformation is necessary. Candidates should understand model evaluation, monitoring, and performance optimization in production environments. Knowledge of deployment tools and practices, including Git, CI workflows, and containerization, is highly desirable. Strong statistical skills to interpret data and assess model performance, combined with excellent communication and teamwork abilities, are critical for success in this role.
Responsibilities
- Develop and implement machine learning models, ensuring their successful deployment into production environments.
- Write robust, efficient, and maintainable production-quality code adhering to best engineering practices.
- Contribute to the enhancement of pipelines, tooling, and automation processes to streamline AI workflows.
- Apply sound engineering standards during model development to ensure reliability and scalability.
- Monitor model performance continuously and participate in ongoing optimization efforts.
- Collaborate with cross-functional teams to understand project requirements and priorities.
- Share knowledge, contribute innovative ideas, and foster a collaborative team environment.
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Benefits
Kingfisher offers an inclusive and supportive work environment where your potential is only limited by your imagination. The company encourages innovation, experimentation, and diverse perspectives, creating a workplace where everyone can thrive. Employees enjoy a competitive benefits package that includes health and wellness programs, career development opportunities, and work-life balance initiatives. The organization values continuous learning and provides resources for professional growth, ensuring you can advance your skills and career within a dynamic industry. Additionally, Kingfisher promotes flexible working arrangements, combining remote work with in-office collaboration to foster productivity and engagement.
Equal Opportunity
Kingfisher is committed to fostering an inclusive environment where all colleagues, applicants, and stakeholders are treated with respect and fairness. The company values diversity and believes that a variety of perspectives enhances innovation and success. Kingfisher provides equal employment opportunities regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation. The organization actively promotes a culture of belonging and ensures that everyone has the opportunity to contribute and grow within the company.
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