Machine Learning Engineer

• Develop machine learning models and support their deployment into production
• Write production quality code that is robust, efficient and maintainable
• Contribute to the implementation and improvement of pipelines, tooling and automation
• Apply good engineering standards and practices in model development
• Monitor performance and contribute to ongoing optimisation of models
• Work with colleagues to understand requirements and priorities
• Share knowledge, contribute ideas and support a collaborative team culture

Technologies:

• Git
• Support
• Jupyter
• Machine Learning
• Model Training
• Python
• SQL
• pandas
• AI

• Good understanding of computer science fundamentals, including data structures, algorithms and software design
• Practical experience with classical machine learning techniques and an awareness of modern approaches such as natural language processing and deep learning
• Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter
• Experience working with SQL and data pipelines to prepare and transform data for model training
• Understanding of model evaluation, monitoring and improving performance in a production environment
• Familiarity with tools and practices for deploying models, ideally including Git, CI workflows and containerisation
• Comfortable working with statistical concepts to interpret data and assess model performance
• Ability to work collaboratively, communicate clearly and deliver work to agreed outcome

hackajob is partnering directly with Kingfisher to hire for this role. We are Kingfisher, a team made up of over 74,000 passionate people who bring Kingfisher and our brands B&Q, Screwfix, Brico Dépot, Castorama and Koçtaş to life. Guided by our purpose, Better Homes. Better Lives. For Everyone., we believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement. This is an opportunity to make a significant impact across one of the largest retail groups in Europe. You will work as part of a high-performing engineering team, collaborating with engineering, product and architecture colleagues to improve tools, processes and practices that accelerate the use of artificial intelligence across the organisation. We offer a hybrid working model that blends home working with in-person collaboration, with around 40% of time spent in person for our Engineering team. We also offer an inclusive environment, a competitive benefits package, and opportunities to stretch and grow your career. We are committed to diversity and inclusion and encourage applicants to apply even if they do not meet 100% of the requirements.