Machine Learning Engineer (KTP Associate)

Overview

In this KTP Associate role you will lead the end-to-end development of an AI-powered retail insight platform that unifies retailer data to deliver real-time strategic recommendations. You will bridge academia and industry, turning cutting-edge research into production-ready ML systems that influence international business strategy. You’ll work closely with cross-functional teams to deploy live solutions that support growth, competitiveness, and scaling into a SaaS-enabled business. This position combines technical depth with business impact, offering a rare chance to own a high-profile project from research to commercialisation.

Pay / Benefits

• Structured KTP training and leadership development
• Your own 2,000 yearly personal development budget
• Mentorship from leading academics and industry professionals
• Opportunities to publish research
• Hybrid fixed-term role blend of research and deployment
• Travel and professional resources

Responsibilities

• Design, develop and validate machine learning models and decision systems
• Work with complex, multi-source retail datasets
• Translate technical outputs into actionable commercial insights
• Collaborate with engineers to embed models into a scalable platform
• Lead project planning, delivery and stakeholder engagement
• Transfer knowledge into the business through training and documentation

Key requirements

• Strong technical capability with commercial awareness
• Ability to lead the full project lifecycle from research to deployment
• Experience applying ML/AI to real-world data
• Comfort working with multi-source retail datasets
• Ability to communicate technical results to non-technical stakeholders

• commercial awareness
• leadership
• stakeholder engagement
• machine learning model development
• decision systems
• production-ready AI systems

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