🔔 Senior Machine Learning Engineer — Build Production ML That Drives Climate Impact
📍 Amsterdam (Hybrid – 2 days in office)
💶 €75,000 – €100,000 gross per year
🌍 Mission-driven climate tech scale-up
What if your forecasting models didn’t just sit in dashboards, but directly shaped real-world commercial decisions and reduced global waste?
I’m working with an ambitious, product-led climate tech company building intelligent forecasting systems that turn messy, real-world signals into reliable, high-impact decisions. Their platform powers a commercial MVP today, and they’re now scaling both the product and the ML capability behind it.
They’re looking for a Senior Machine Learning Engineer to own forecasting systems end-to-end, shape ML standards, and grow into a technical leadership role as the company scales.
This is a role for someone who enjoys operating across levels: hands-on model builder, ML platform architect, mentor, and strategic technical partner.
What the Senior Machine Learning Engineer will be working on:
- Designing, building, and operating production-grade time-series and causal forecasting models for supply, demand, and pricing.
- Owning the full ML lifecycle, from data ingestion and feature engineering to deployment and monitoring.
- Architecting scalable ML infrastructure (training pipelines, validation, CI/CD, automated retraining, canary releases, A/B testing).
- Implementing model observability: drift detection, bias checks, explainability, alerting, and SLAs.
- Designing cloud-native ML architecture within a modern Azure environment.
- Partnering closely with product, engineering, and customers to translate business goals into measurable ML outcomes.
- Defining analytics and success metrics that clearly demonstrate product and commercial impact.
- Mentoring peers and helping raise the engineering bar across data, modelling, and MLOps.
🧠 What the successful Senior ML Engineer will need:
- 6+ years of experience building and deploying forecasting models into production.
- Strong foundations in software engineering and ML engineering best practices (testing, CI/CD, production services).
- Strong experience with time-series modelling, feature engineering for temporal data, uncertainty estimation, and backtesting.
- Experience building scalable ML/data platforms.
- Hands-on experience with stakeholder-facing model communication.
- Strong Python skills (R for analysis is a plus).
- Experience across tools such as scikit-learn, Prophet, TensorFlow/Keras, XGBoost, LightGBM, Spark, SQL, Airflow (or similar).
- Cloud experience (Azure environment preferred).
- A startup mindset: pragmatic, ownership-driven, and comfortable in fast-moving environments.
🌟 What’s on offer for the successful Senior Machine Learning Engineer:
- A genuinely high-impact role where your models directly power commercial decisions.
- Significant ownership and scope to grow into broader technical leadership.
- Hybrid working model with flexibility.
- An international team of experienced product and technology leaders.
- The opportunity to contribute to reducing global waste, and help save the planet one ton at a time.
This is more than a forecasting role, it’s an opportunity to build production ML systems that matter, influence technical direction, and create measurable climate impact.
📩 Interested? Send your CV to the email below and I’ll be happy to share more details.
