Machine Learning Engineer

Machine Learning Engineer – Data & Analytics

Netherlands, Amsterdam (3 days per week in office)

€55,000 – €65,000 (depending on experience)

About the Role

We are seeking a Machine Learning Engineer to join a growing Data & Analytics team in Amsterdam. This is an exciting opportunity to work on cutting-edge ML, NLP, and AI projects in a collaborative, forward-thinking environment.

You will play a key role in bridging the gap between data science and architecture teams, turning research specifications into production-ready code, and deploying models in a cloud environment.

Responsibilities

• Develop and deploy machine learning and NLP models in a cloud-based environment (AWS).
• Build and manage end-to-end data pipelines, ensuring robust coding practices (e.g., GitHub, CI/CD).
• Collaborate with the architecture team to integrate models into production systems.
• Create data visualizations and reporting tools to present insights effectively.
• Work closely with data analysts and scientists to translate requirements into working solutions.
• Contribute to projects involving entity mapping, data extraction, and LLM fine-tuning.

Your Profile

• Degree in Computer Science, Data Science, or a related field.
• Around 3 years of experience in ML engineering or data science.
• Strong programming skills in Python and experience with SQL.
• Experience with ML frameworks such as TensorFlow or PyTorch.
• Understanding of data modelling, statistics, and ML pipeline development.
• Hands-on experience with AWS or another cloud environment.
• Bonus: Experience in JavaScript-based data visualization and/or NLP / AI projects.

Who You Are

• Curious and collaborative, eager to learn and share knowledge.
• Proactive and solution-oriented, comfortable taking ownership of projects.
• Low-ego team player who can communicate ideas effectively in a flat, open culture.

Why This Role

• Work on impactful projects that combine data science, AI, and real-world business applications.
• Collaborate with a talented, international team.
• Take ownership of end-to-end ML development, from coding to deployment.

Interested?

Apply now to be part of a challenging and rewarding data-driven environment.