Machine Learning Engineer

Levy Professionals; Amsterdam; On-site; EUR 60,000 - 80,000; Full time

Job summary

A leading consulting firm is seeking a Machine Learning Engineer in Amsterdam. You will design and deploy ML models, work within an Agile DevOps team, and collaborate with data scientists using Azure technologies. The ideal candidate will have a strong background in MLOps and CI/CD pipelines. This full-time role offers a chance to enhance ML solutions in a dynamic environment.

Qualifications

• Experience deploying ML models into production.
• Strong knowledge of MLOps principles and lifecycle management.
• Familiarity with Azure DevOps and software engineering design patterns.

Responsibilities

• Work in an Agile/Scrum DevOps team.
• Build and maintain automated CI/CD pipelines (YAML).
• Collaborate with data scientists to train, deploy, and monitor models.

Skills

Machine Learning deployment

MLOps principles

CI/CD pipelines

Collaboration with data scientists

Azure cloud technologies

Monitoring and drift detection

Education

Bachelor's/Master's in Computer Science, AI, Software Engineering

Tools

MLflow

Azure Databricks

Spark ecosystem

Job description

Chapter Lead & Delivery Consultant – AI & Data at Levy Professionals

We are looking for a Machine Learning engineer for one of our clients in the financial sector. As a Machine Learning Engineer, you will design, build, and maintain frameworks to train, deploy, and monitor machine learning models in production. You will collaborate with data scientists and engineers, contribute to development best practices, and enhance our machine learning platform. You will work within an agile DevOps team responsible for end-to-end delivery of ML solutions.

Key Responsibilities

• Work in an Agile/Scrum DevOps team
• Build and maintain automated CI/CD pipelines (YAML)
• Collaborate with data scientists to train, deploy, and monitor models
• Implement model retraining, performance tracking, and drift detection
• Contribute to improving MLOps frameworks and tooling
• Write unit/integration tests and ensure high code quality
• Work with cloud technologies (primarily Azure)

Profile

• Bachelor's/Master's in Computer Science, AI, Software Engineering, or related field
• Experience deploying ML models into production
• Strong knowledge of MLOps principles and lifecycle management
• Experience with MLflow or similar platforms
• Knowledge of CI/CD, monitoring, drift detection
• Familiarity with Azure DevOps and software engineering design patterns
• Experience with Azure, Azure Databricks, or other cloud platforms
• Knowledge of Spark ecosystem

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Banking

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Location: Hoofddorp, Amsterdam, North Holland, Netherlands