Lead Machine Learning Engineer

Job Description

WHAT YOU’LL DO:

Lead and deliver complex AI/ML initiatives involving multiple stakeholders or delivery teams, ensuring timely delivery of high quality, business critical solutions.

Architect scalable, enterprise-level solutions by setting the technical direction and ensuring robust, future-proof designs.

Drive technical excellence and innovation by collaborating across the organization, improving engineering practices, and adopting emerging technologies and industry trends.

Proactively identify risks and dependencies as well as creating the alignment needed with dependent teams to deliver on committed roadmaps.

Mentor and develop engineering talent across the organisation, fostering growth, knowledge sharing, and a strong collaborative engineering culture.

Represent and strengthen the Machine Learning Engineering area through active participation in recruitment, onboarding, shaping engineering culture, and strategic company-wide collaborations.

Stay up to date with industry trends to identify opportunities that enhance our engineering practices, tooling and ways of working.

​WHO YOU’LL WORK WITH​

You’ll collaborate closely with machine learning engineers, data scientists, data analysts, solution architects, product teams and business stakeholders. Together you will build and evolve AI-powered products that drive innovation, efficiency, and business impact across supply chain and our demand forecasting.

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WHO YOU ARE​

We are looking for people with…​

Proven experience working with multiple programming languages, tools and frameworks relevant to modern AI/ML development.

Strong expertise in MLOps, including automated testing, monitoring, incident prevention and proactive operational practices to ensure product stability.

Deep understanding of system architecture, design, performance optimisation, cloud development and security principles for building robust AI/ML solutions.

Broad competence across data engineering, software engine