Verified from career page · Posted 4d ago
- Posted
- 4d ago
- Workplace
- Hybrid
- Salary
- Not disclosed
- Visa sponsorship
- Not specified
Posted on 23 September 2026
Work model: Hybrid
Salary range not shared by the company
Visa sponsorship details unknown
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 Engineer at Kpler, you will play a key role in developing and deploying predictive models that power our global commodity, energy, and maritime intelligence platforms. Working closely with Data Scientists, Data Engineers, and Product teams, you will bridge the gap between machine learning experimentation and production-grade software delivery. Your work will directly transform complex data flows into real-time, actionable insights that help world-leading trading firms, industrial leaders, and analysts make critical decisions.
About Kpler
Kpler builds trade intelligence for physical commodities — tracking cargoes, vessels and flows in energy, metals and agriculture. Its European engineering sits in Athens: backend, full-stack and lead engineering roles, with product design in Budapest and Athens. London is the commercial and market-analyst side, not engineering.
