Machine Learning Engineer
The Role
We’re partnering with an innovative ClimateTech company building intelligent AI-driven solutions that improve environmental sustainability, operational efficiency, and resource optimization. They are looking for a Machine Learning Engineer to develop and deploy scalable ML solutions for real-world environmental and industrial challenges.
What You’ll Be Doing
- Develop and deploy machine learning models for sustainability-focused applications such as energy optimization, predictive maintenance, emissions tracking, anomaly detection, and environmental analytics
- Create scalable ML infrastructure and pipelines for training, evaluation, monitoring, and real-time model serving across industrial and climate-focused platforms
- Design data preprocessing and feature engineering workflows for complex datasets including IoT, sensor, geospatial, and time-series data
- Help build intelligent monitoring and optimization systems leveraging technologies such as edge devices, remote sensing, connected infrastructure, and live sensor networks
- Contribute to data-driven solutions that improve operational efficiency, reduce environmental impact, and support sustainability initiatives
What They’re Looking For
- 2–6+ years of experience in Machine Learning Engineering or similar AI-focused roles
- Strong proficiency in Python
- Hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn
- Track record of building, deploying, and maintaining ML systems in production
- Experience working with environmental, industrial, energy, IoT, mobility, or geospatial datasets is considered a strong plus
- Understanding of data engineering practices including ETL/ELT pipelines, streaming systems, and large-scale time-series data processing
- Experience with cloud infrastructure such as AWS, Azure, or GCP
- Interest in applying AI to sustainability, clean technology, smart infrastructure, or environmental intelligence challenges
What’s on Offer
- Hybrid working model with offices located in Aalst
- Opportunity to contribute to cutting-edge ClimateTech solutions with tangible environmental impact
- Collaborative environment with a strong emphasis on innovation, experimentation, and applied AI
- Competitive salary package up to €6,000/month depending on experience
- Company car or flexible mobility budget
- 13+ additional ADV leave days
- Clear career progression opportunities toward senior and leadership roles
- Mission-driven culture focused on building technology for a more sustainable future
If this opportunity excites you, apply today or send your CV and a short cover letter to ryan.martin@vividresourcing.com.