Machine Learning Engineer at Vivid Resourcing

Job Description:

Latest job information from Vivid Resourcing for the position of Machine Learning Engineer. If the Machine Learning Engineer vacancy in Belgium matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Vivid Resourcing for the position of Machine Learning Engineer below matches your qualifications.

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Vivid Resourcing – Ghent, Belgium (Hybrid)

We’re partnering with a leading company in the renewable energy sector, looking for a Machine Learning Engineer to help build intelligent systems that optimize real-time operations and forecasting. You’ll join a dynamic analytics and technology team, and take part in shaping the next generation of data-driven decision‑making tools in the energy market.

You’ll play a key role in designing, developing, and deploying ML models that leverage large-scale datasets, including operational data, energy usage metrics, and external sources such as weather feeds and market trends.

• Design and implement scalable machine learning pipelines for real‑time and batch inference.
• Build models for predictive maintenance, demand forecasting, energy optimization, and anomaly detection.
• Work with Data Engineers to ensure smooth ingestion and preprocessing of data from internal and external APIs.
• Collaborate with stakeholders to define use cases and measure model performance in production.
• Continuously monitor and improve deployed ML models to maintain high performance and reliability.
• Support data visualization and reporting teams with ML insights integrated into tools like Grafana or Amazon QuickSight.

• Strong experience with AWS, especially in ML‑related services (e.g., SageMaker, Lambda, S3).
• Hands‑on expertise in Python and machine learning libraries (e.g., Scikit‑learn, XGBoost, TensorFlow or PyTorch).
• Proven experience developing and deploying ML models into production.
• Solid understanding of feature engineering, model validation, and MLOps best practices.
• Degree in Computer Science, Data Science, or a related field.
• Interest or background in the energy or commodities sector is a strong advantage.

• Opportunity to work on impactful ML projects in a high‑growth industry.
• Clear path toward Lead ML Engineer as the company expands its data science capabilities.
• Up to €5.500/month for highly experienced candidates, depending on interview performance.
• Full benefits package including company car or mobility budget.
• 12 ADV days on top of standard holidays.
• Work from a new office in Ghent, with up to 4 remote days/week.

Apply today or send your CV and cover letter to daniel.pickup@vividresourcing.com

Job Info:

• Company: Vivid Resourcing
• Position: Machine Learning Engineer
• Work Location: Belgium
• Country: BE

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Machine Learning Engineer at the office Belgium above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.