Kpler

Machine Learning Engineering Manager (Power)

United Kingdom

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hirly's read of this role

Role family: Engineering management
Seniority: Lead / management
Country: GB
Work mode: On-site / unstated
First seen by hirly: 8 Nov 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.

Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 850 experts from 69 countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.

About the Role

As a Machine Learning Engineering Manager at Kpler, you will lead and grow an engineering team dedicated to bringing production-grade machine learning models to the core of global trade intelligence. Operating at the intersection of people leadership, system architecture, and applied AI, you will guide your team in scaling resilient MLOps pipelines and deploying models that process massive, real-time datasets. Your leadership directly accelerates how our platform translates complex market telemetry into actionable, high-impact signals for global commodity and maritime leaders.

Original posting on Kpler's site ↗

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