Senior Machine Learning Engineer

Amsterdam | 90 - 100k | Permanent

Senior ML Engineer – Renewable Energy

Location: Remote-friendly in the Netherlands

Salary: €90k-100k + flexible benefits, excellent secondary perks, backed by top investors

Passionate about machine learning and sustainability? Join a forward-thinking renewable energy start-up enabling automated peer-to-peer energy trading that connects producers, consumers, and storage providers leveraging real-time trading, predictive algorithms, microgrid solutions, and on-site battery systems to drive down energy costs and promote green energy use.

The Role

As a Senior ML Engineer, you’ll design and deploy robust MLOps pipelines to support time-series predictive models on AWS Sagemaker. Your work will help drive real-time trading, enhance energy transparency, and expand green energy usage through innovative solutions.

This role is ideal for someone who thrives on complex data challenges in a high-impact sector.

Key Responsibilities

• Build, deploy, and monitor time-series models on AWS Sagemaker, optimising for performance and reliability
• Design resilient MLOps pipelines for seamless, real-time energy trading
• Solve challenging problems in predictive algorithms and microgrid management

What You Bring

• 4+ years of hands-on experience as an ML Engineer, deploying production models
• Proficiency in Python (or similar) for ML development
• Expertise in AWS cloud and Azure environments (critical)
• Background in time-series modelling and MLOps practices
• Ability to thrive in a fast-paced start-up setting

Brucey bonus points

• Experience in the energy sector or with algorithmic trading
• Deep familiarity with Python, PySpark, and advanced time-series modeling techniques

This is more than a role; it’s a chance to be part of the green energy revolution with competitive pay, excellent benefits, and a flexible work culture.

It’s a good one, really is. Apply, and I’ll be in touch.