Machine Learning Engineer — Real‑World AI & MLOps

Xomnia; Amsterdam; Hybrid; EUR 54,000 - 84,000; Full time

Benefits offered by this job

Annual salary between €54,000 - €84,000

€5,000 annual development budget

25 vacation days

Flexible working options

Company trips

Learning opportunities through 'Learning Labs'

Job summary

A leading data and AI solutions provider in Amsterdam seeks a skilled Machine Learning Engineer to develop and implement innovative solutions across various domains. The role emphasizes hands-on technical work, collaboration with cross-functional teams, and deploying ML models on cloud platforms. Ideal candidates possess strong coding skills, experience in ML engineering, and fluency in Dutch. This position offers a competitive salary and unique opportunities for professional growth.

Qualifications

• 3+ years of experience in ML engineering, data science, or similar roles.
• Fluent in Dutch (required) and English.

Responsibilities

• Design and implement robust ML models that solve real-world problems.
• Collaborate with cross-functional teams to turn business needs into scalable solutions.
• Deploy models on cloud platforms like Azure, AWS, or GCP.
• Guide clients in building internal ML capabilities and following engineering best practices.

Skills

Machine learning modeling

Python programming

Collaboration

Statistics

Cloud services experience

MLOps practices

Education

Degree in Computer Science, AI, Data Science, or related field

Tools

Docker

CI/CD pipelines

Cloud platforms (Azure, AWS, GCP)

MLflow

Airflow

Kubernetes

Spark

Job description

A leading data and AI solutions provider in Amsterdam seeks a skilled Machine Learning Engineer to develop and implement innovative solutions across various domains. The role emphasizes hands-on technical work, collaboration with cross-functional teams, and deploying ML models on cloud platforms. Ideal candidates possess strong coding skills, experience in ML engineering, and fluency in Dutch. This position offers a competitive salary and unique opportunities for professional growth.