Machine Learning Engineer

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Amsterdam / €69505.38 - €100782.81 annum

INFO

Salary

SALARY:

€69505.38 - €100782.81

Location

LOCATION

Amsterdam

Job Type
JOB TYPE

Permanent

Machine Learning Engineer (MLOps)
Amsterdam | €60,000 - €87,000 + 8% Holiday Allowance + 10% Bonus

This is an exciting opportunity to join a growing Machine Learning Platform team within a global technology business. You'll play a key role in building the infrastructure and tooling that enables Data Scientists to deploy machine learning models at scale, supporting real-time decision-making in a highly complex, high-volume environment.

The Company

They are a global technology organisation operating at significant scale, processing billions of transactions and supporting customers across international markets. Data and machine learning sit at the heart of their product offering, driving innovation across critical business functions. The business continues to invest heavily in its Data & AI capabilities, creating strong opportunities for learning, progression, and technical ownership.

The Role

As a Machine Learning Engineer, you will work closely with Data Scientists and senior engineers to productionise machine learning solutions and enhance the ML platform.

Key responsibilities include:
* Building and maintaining scalable machine learning training pipelines
* Supporting hyperparameter optimisation and model experimentation workflows
* Developing deployment, release, and monitoring processes for production ML models
* Contributing to feature store infrastructure and model serving capabilities
* Building observability and monitoring tooling for machine learning systems
* Supporting real-time inference systems operating at scale
* Collaborating with cross-functional teams to deliver production-ready machine learning solutions
* Taking ownership of platform features while developing your technical expertise

Your Skills & Experience

* Strong commercial experience with Python development
* Experience working with machine learning models in production environments
* Understanding of MLOps principles and machine learning lifecycle management
* Exposure to cloud infrastructure, preferably AWS
* Knowledge of monitoring, observability, and operational best practices
* Experience with Databricks, Spark, or similar distributed data processing technologies is beneficial
* Strong communication and stakeholder collaboration skills
* Ability to work effectively in a fast-paced environment with evolving requirements
Desirable experience includes technologies such as Python, PySpark, Databricks, XGBoost, scikit-learn, Kafka, Terraform, AWS, and real-time data platforms.

What They Offer

* Salary ranging from €60,000 to €70,000 for junior-level candidates
* Salary ranging from €75,000 to €85,000 for mid-level candidates
* 10% annual performance bonus
* 8% holiday allowance
* Hybrid working model with 3 days per week in the Amsterdam office
* Relocation support available
* Sponsorship available for eligible candidates
* Clear career progression within a growing Machine Learning Platform team
* Opportunity to work alongside experienced engineers on large-scale production machine learning systems

How to Apply

If you're passionate about Machine Learning Engineering, MLOps, and building scalable production systems, apply today to learn more about this opportunity.

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