Machine Learning Engineer

Within Business Area Markets, business decisions are made around the clock and at high frequency, creating strong opportunities for intelligent automation and applied machine learning.

As an ML Engineer in our Data Science team, you will design, build, and evolve machine‑learning systems that run in production and directly support real‑time electricity trading on the energy markets. Your work has immediate, measurable impact on trading decisions, asset optimization, and business outcomes.

What you will do

In this role, you will actively shape how our ML systems and platform evolve over time, rather than following a fixed blueprint.

• Own and develop production ML systems that support real‑time trading and operational decision‑making
• Design and improve MLOps pipelines, including training, deployment, retraining, and monitoring
• Build and operate real‑time inference services, ensuring alignment between batch training and streaming inference
• Contribute to ML and data architecture decisions, including trade‑offs between batch and streaming processing and long‑term maintainability
• Collaborate closely with data scientists, traders, and engineers to translate business needs into robust, scalable ML solutions