Machine Learning Engineer

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

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