Lead Machine Learning Engineer

Hackajob Ltd; City of Westminster; On-site; GBP 90,000 - 110,000; Full time

Benefits offered by this job

Flexible working

Competitive benefits package

Career growth opportunities

Job summary

Kingfisher is seeking a senior ML/AI leader to guide research and development of data science capabilities across our group. You will lead a high-performing ML engineering team, partner with technology, product, and data departments, and drive data-driven projects aligned with commercial goals.

You will apply advanced ML algorithms, modern deep learning, and cloud-native ML services to embed analytics into Kingfisher products and processes.

Qualifications

• Proven experience delivering AI-based products and productionising ML products.
• Experience building cloud-based ML services, preferably on GCP.
• Strong grasp of classical ML algorithms (Logistic Regression, Random Forest, XGBoost).
• Strong understanding of modern DL algorithms (BERT, LSTM).
• Proficient in Python and SQL; skilled with data-analysis tools (Jupyter, Pandas, Scikit-Learn, Matplotlib).
• Experience deploying ML/AI services using Kubernetes and Kubeflow.
• Proven leadership, team management, and stakeholder management skills.
• Customer-focused mindset and ability to improve customer experience.

Responsibilities

• Lead R&D for ML/AI services within the Group Data Science team.
• Build and mentor a high-performing data science team aligned with business priorities.
• Drive project implementation to support commercial goals across Kingfisher.
• Collaborate with tech, product, and data teams to embed data science in products.
• Translate business needs into data-driven project designs and communicate results effectively.
• Champion data science across the Kingfisher group and foster a data-driven culture.

Skills

AI products

ML deployment

GCP

Python

SQL

Kubernetes

Kubeflow

Leadership

Stakeholder mgmt

Customer focus

Tools

Kubeflow

Kubernetes

GCP

Jupyter

Pandas

Scikit-Learn

Job description

Salary: £100,000 - 100,000 per year

Requirements:

• Proven experience delivering high-quality AI-based products and productionising 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 such as Logistic Regression, Random Forest and XGBoost
• Excellent understanding of modern deep learning algorithms such as BERT and LSTM
• Strong knowledge of SQL and Pythons ecosystem for data analysis, including Jupyter, Pandas, Scikit Learn and Matplotlib
• Strong software development skills, with Python as the preferred language
• Proven experience deploying ML/AI services using Kubernetes and KubeFlow
• Strong management and leadership skills, including previous experience managing a team
• Strong influencing, communication and stakeholder management skills
• Customer-focused mindset with a commitment to improving customer experience

Responsibilities:

• Lead the research and development process for ML/AI services within our Group Data Science team
• Trailblaze the development of data science algorithms while building, leading, nurturing and retaining a high-performing data science team working on banner and group priorities
• Lead the implementation of data science projects and approaches that support commercial goals
• Develop a highly proficient team of Machine Learning Engineers and establish collaborative ways of working
• Collaborate with tech, product and data teams to develop data platforms that allow us to apply data science and embed it 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
• Champion and role model 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 internal and external audiences

Technologies:

• AI
• Cloud
• GCP
• Support
• Jupyter
• Kubeflow
• Kubernetes
• Machine Learning
• Python
• SQL
• pandas

More:

We are Kingfisher, a team of over 74,000 passionate people bringing our brands B&Q, Screwfix, Brico Depot, Castorama and Koctas to life. We are ambitious to become the leading home improvement company and to grow the largest community of home improvers in the world. We offer flexible and agile working, with a blend of working from home and our offices, and we encourage you to talk to us about how we can best support you. We are committed to inclusion and equal treatment for all colleagues, future colleagues and applicants. We offer an inclusive environment where new ideas are encouraged, experimentation is supported, and everyone can be their best self. We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career.