Back to search
Vivid Resourcing Linkedin · Posted 1mo ago

Machine Learning Engineer

Aalst, Flanders, Belgium

Linkedin
Continue to application Add your email once, then Caio opens the original posting.

Indexed description

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 [email protected].

Free. 20 seconds. No password. See every match in this search.

Create a free Caio profile to unlock more results and save your role and location preferences.

Unlock free search
Want help applying to roles like this? Search Caio for free. If CV tailoring and application tracking get heavy, Full Caio Agent adds a human specialist.
View Full Agent