Machine Learning Engineer

NetherlandsJob; Netherlands; On-site; EUR 42,408 - 69,192; Full time

Benefits offered by this job

€5,000 annual development budget

25 vacation days

Pension

Flexible working options

Stock Appreciation Rights

Job summary

NetherlandsJob is seeking a Machine Learning Engineer to design and implement ML models that solve real-world problems. You will collaborate with cross-functional teams to create scalable solutions and deploy them on cloud platforms like Azure, AWS, or GCP.

The ideal candidate has 2-5 years of experience in ML engineering, coding skills in Python, and familiarity with cloud environments. You will enjoy a competitive salary, development budget, and benefits like flexible working and vacation days.

Qualifications

• 2-5 years of experience in ML engineering, data science, or similar roles.
• Strong coding skills in Python and experience with cloud environments.
• Experience building and deploying production-grade ML systems.

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.

Skills

Python

Machine Learning

Cloud environments (Azure, AWS, GCP)

MLOps best practices

Docker

Kubernetes

Spark

Statistics

Education

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

Tools

MLflow

Airflow

Job description

About The Role And The Xomnia Culture

At Xomnia, machine learning is more than model building – it’s about engineering intelligent systems that deliver real value. As a Machine Learning Engineer, you’ll work alongside passionate consultants to help our clients unlock the full potential of their data. From advancing cancer research to real‑time fraud detection and electricity grid optimization, we work on projects that make a difference. Our culture thrives on curiosity, shared ownership, and the courage to challenge assumptions. We value people who enjoy experimenting, sharing knowledge, and working together to create AI solutions that last.

Your role

• Design and implement robust ML models that solve real‑world problems.
• Build end‑to‑end ML pipelines – from feature engineering to deployment and monitoring.
• Collaborate with cross‑functional teams to turn business needs into scalable solutions.
• Apply MLOps best practices such as CI/CD, versioning, testing, and automation.
• Deploy models on cloud platforms like Azure, AWS, or GCP.
• Work with tools like MLflow, Airflow, Docker, Kubernetes, and Spark.
• Stay up to date with the latest techniques, including Generative AI, and explore their application.
• Guide clients in building internal ML capabilities and following engineering best practices.
• Share your expertise through mentorship, demos, and internal learning sessions.

What You Bring To The Table

• Preferable +/- 2‑5 years of relevant experience in ML engineering, data science, or similar roles.
• A degree in Computer Science, AI, Data Science, or a related technical field.
• Strong coding skills in Python and experience with cloud environments (Azure, AWS, or GCP).
• Solid understanding of statistics and machine learning fundamentals.
• Experience building and deploying production‑grade ML systems.
• Familiarity with Docker, CI/CD pipelines, infrastructure‑as‑code, and orchestration tools.
• A consulting mindset: you enjoy listening, collaborating, and turning needs into solutions.
• Fluent in English and Dutch.
• A drive to learn, improve, and share knowledge – both internally and with the broader tech community.

What’s in it for you?

• A monthly salary between €3,800 – €6,200 per month (based on 40 hours and excluding vacation allowance)
• €5,000 annual development budget
• 25 vacation days to fully recharge
• Secondary benefits such as pension, flexible working options (in terms of working location), and the possibility to take unpaid leave
• Memorable company trips (Berlin this year!)
• The opportunity to grow along with our success through Stock Appreciation Rights