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AgileGrid Solutions

Machine Learning Engineer

United Kingdom
Posted about 11 hours ago
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About The Company

Kingfisher is a leading international home improvement retailer, operating a diverse portfolio of brands including B&Q, Screwfix, Brico Depot, Castorama, and Koctas. With a workforce of over 74,000 passionate professionals, Kingfisher is dedicated to creating better homes and better lives for everyone. Guided by its purpose, Better Homes. Better Lives. For Everyone, the company strives to make a positive impact on communities and customers through innovative products, sustainable practices, and exceptional service. As one of the largest retail groups in Europe, Kingfisher continuously seeks to enhance its offerings and operational efficiencies by leveraging cutting-edge technology and data-driven solutions.

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 support the development, deployment, and operationalization of advanced artificial intelligence solutions that influence millions of customers and colleagues across our retail brands. As part of a high-performing engineering team, you will be instrumental in building scalable, robust machine learning systems that enhance decision-making, improve customer experiences, and optimize business processes. Your work will directly impact how products and services are delivered and experienced, contributing to Kingfisher’s mission of creating better homes and lives.

Qualifications

The ideal candidate will possess a solid foundation in computer science and machine learning, with practical experience in developing and deploying models in real-world environments. Strong programming skills in Python and familiarity with libraries such as Pandas, scikit-learn, and Jupyter are essential. Experience working with SQL and data pipelines for data preparation and transformation is required. A good understanding of classical machine learning techniques, as well as awareness of modern approaches such as natural language processing and deep learning, is highly desirable. Candidates should have knowledge of model evaluation, monitoring, and performance optimization in production settings. Familiarity with deployment tools, including Git, CI workflows, and containerization, will be advantageous. Excellent communication skills, a collaborative mindset, and the ability to translate business requirements into technical solutions are crucial for success in this role.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

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Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Responsibilities

  • Develop and implement machine learning models aligned with business needs and objectives.
  • Support the deployment of models into production environments, ensuring reliability and scalability.
  • Write clean, efficient, and maintainable production-quality code adhering to engineering standards.
  • Contribute to the development and enhancement of data pipelines, tooling, and automation processes.
  • Monitor model performance, conduct ongoing optimization, and troubleshoot issues as they arise.
  • Collaborate with cross-functional teams—including engineering, product, and architecture—to understand requirements and deliver solutions.
  • Share knowledge, contribute innovative ideas, and foster a collaborative team culture focused on continuous improvement.
  • Apply statistical concepts to interpret data, evaluate model performance, and inform decision-making.

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Benefits

Kingfisher offers a comprehensive and competitive benefits package designed to support the wellbeing and development of its employees. We promote a flexible working environment that balances remote work with in-person collaboration, typically involving around 40% of time spent in our offices or offsite locations. Our commitment to diversity and inclusion ensures a welcoming atmosphere where all employees can thrive and bring their authentic selves to work. We encourage innovation and experimentation, providing opportunities for professional growth and career advancement. Additionally, employees have access to various training programs, wellness initiatives, and other resources aimed at fostering a positive and productive workplace environment. We believe that investing in our people is key to our success and the shared achievement of our organizational goals.

Equal Opportunity

Kingfisher is committed to creating an inclusive environment where all colleagues, applicants, and future team members are treated with respect and fairness. We value 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. Our aim is to cultivate a workplace that reflects the communities we serve and where everyone feels empowered to contribute their best. We welcome applications from individuals of all backgrounds and experiences, and we are dedicated to supporting a diverse and equitable workforce.

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Skills

Python
Pandas
Scikit-learn
Jupyter
SQL
Machine Learning
Natural Language Processing
Deep Learning
Git
CI Workflows
Containerization
Data Pipelines
Model Evaluation
Model Monitoring
Performance Optimization
Statistical Analysis

Location

United Kingdom

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