Machine Learning Engineer Manager

Machine Learning Engineer Manager

Role Purpose: Lead the productionisation process and maintaining ML/AI services developed in Group AI team.

Function/Team: Group AI Reporting Line: Group AI Director

Key Accountabilities / Responsibilities:

· Lead the management of Artificial Intelligence projects – trailblazing the development of Machine

Learning across the Kingfisher Group.

· Lead multiple teams across a board range of business domains to deliver end to end Machine

Learning solutions for the business.

· Develop and manage highly proficient Machine Learning team leads who in turn manage domain

specific projects.

· Curate diverse teams in translating between business and data in the design of project work, and

in the synthesis and communication of recommendations and results.

· Enable and courage cross team collaboration and knowledge sharing to optimise team efficiency

across AI.

· Collaborate with tech, product and data teams to develop the data platforms that allow us to

apply AI and embed the use of Machine Learning directly in our products and processes.

· Be a champion and role model for the application of Machine Learning 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 Group AI (and broader customer analytics) “brand” at Kingfisher

for both internal and external audiences.

Required Skills & Experience: · Strong management and leadership skills - including ability to build, organise, motivate, mentor and manage a Machine Learning team that supports a diverse range of initiatives. · Sensitivity and excellent influencing skills – the ability to work with stakeholders across a variety of functions and levels of seniority and to decipher hidden user needs. · Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture · Good 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). · Experience working on modern Generative AI/Agentic workflows using frameworks such as LangChain/LangGraph and Agent Development Kit (ADK) · Strong understanding of a Machine Learning development workflow · Proven experience of delivering several high-quality AI-based products · Proven experience of developing cloud-based machine learning services using one or more cloud providers (preferably GCP). · Strong software development skills (Python is the preferred language) · Proficient in building CI/CD pipelines using different tools e.g. Gitlab, Jenkins, Cloud Build · Experienced in building data pipelines using GCP DataFlow · Provand experience in deploying ML/AI services using Kubernetes & KubeFlow · Ability to work on multiple projects and manage deliverables · Solid communications and soft skills to manage stakeholders demands