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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Machine Learning Engineer - **Company:** Overviewwe're Kingfisher - **Location:** London, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Cloud Computing, Python (Programming Language), Logistic Regression, Machine Learning, Standard Sql, Software Engineering, Random Forest, Deep Learning, Jupyter, Pandas, Matplotlib, AI Platforms, Scikit Learn, Kubernetes, Xgboost, Data Management, Recurrent Neural Networks - **Published:** September 7, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/lead-machine-learning-engineer/46417424 ## About the Role model for the application of data science across the Kingfisher group Support the data leadership team in developing a "data culture" and demonstrating the value of data in our decision making Lead our efforts to develop the data science (and broader customer analytics) "brand" at Kingfisher for both internal and external audiencesWhat you'll bringProven experience delivering high-quality AI-based products and productionisation of Machine Learning based products Proven experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP) Excellent understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) Strong software development skills (Python is the preferred language) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management and leadership skills - previous experience managing a team Strong influencing, communication and stakeholder management skills Be Customer Focused - constantly improving our customers' experience We listen to our customers and colleagues We innovate products and experiences to stay ahead Be Human - leading with purpose, humanity and care We do the right thing We invest in our people and build great teams Be Curious - thrive on learning, thinking beyond the obvious We focus externally, globally and build the long term We experiment and share our learnings Be Agile - building trust and empowering people to work with agility We act with pace, not perfection, role modelling 80/20 We take risks, fail fast and adapt quickly Be Inclusive - inspiring diverse teams to achieve together We celebrate difference as a strength We collaborate, breaking down silos Be Accountable - owning the plan, delivering results ## Description best support you!We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. You will trailblaze the development of data science algorithms, while building, leading, nurturing and retaining a high performing data science team working on banner as well as group priorities. What's the job?Lead the implementation of data science projects and data science approaches to support commercial goals Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data science and embed the use of data science directly in our products and processes Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results Be a champion and role ## Related Videos - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Kubernetes dev is fun, but setup and ops isn't! 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