Machine Learning (MLOps) Engineer

GeekSoft Consulting; Amsterdam; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Career development

Well-being benefits

Mobility support

Job summary

GeekSoft Consulting in Amsterdam, Netherlands, is seeking a Machine Learning (MLOps) Engineer for a fixed-term engagement. You will design, build and continuously improve the clients online platform, focusing on scalable ML production systems.

Responsibilities include end-to-end ML lifecycle, deployment on GCP with Vertex AI and BigQuery, IaC with Terraform, containerization with Docker, and CI/CD pipelines with GitHub Actions; lead MLOps activities within the team.

Qualifications

• Develop, implement, and maintain ML models for pricing ancillary products.
• Design end-to-end ML lifecycle including development, retraining, deployment and monitoring.
• Ensure low-latency, scalable, reliable production ML systems.
• Build ML solutions in Google Cloud Platform using BigQuery and Vertex AI.
• Implement IaC with Terraform and containerize ML applications with Docker.
• Develop and maintain CI/CD pipelines with GitHub Actions.
• Lead MLOps activities within an ML engineering team.
• Experience with Terraform, CI/CD, automated testing, ML architecture.
• Hands-on experience with GCP, BigQuery, Vertex AI.
• Strong deployment, monitoring, retraining, and production optimization knowledge.
• Experience with Docker and GitHub Actions.

Responsibilities

• Help design, build and continuously improve the clients online platform.
• Research, suggest and implement new technology solutions following best practices/standards.
• Take responsibility for the resiliency and availability of different products.
• Be a productive member of the team.

Skills

MLOps

CI/CD

Terraform

Docker

BigQuery

Vertex AI

GCP

GitHub Actions

ML deployment

Monitoring

Retraining

Tools

Terraform

Docker

GitHub Actions

BigQuery

Vertex AI

GCP

Job description

GeekSoft Consulting | Fixed Term Employment

Machine Learning (MLOps) Engineer

Amsterdam, Netherlands | Posted on 09/22/2026

• Help design, build and continuously improve the clients online platform.
• Research, suggest and implement new technology solutions following best practices/standards.
• Take responsibility for the resiliency and availability of different products.
• Be a productive member of the team.

Requirements

• Develop, implement, and maintain machine learning models for pricing ancillary products such as seats, baggage, extra legroom, and paid fare upgrades.
• Design and manage the end-to-end ML lifecycle, including model development, retraining, deployment, monitoring, and optimization.
• Continuously monitor and improve production ML models, ensuring low-latency performance, reliability, scalability, and compliance with engineering standards.
• Build and deploy ML solutions within the Google Cloud Platform (GCP) ecosystem, leveraging BigQuery and Vertex AI.
• Implement Infrastructure as Code (IaC) using Terraform and containerize ML applications with Docker.
• Develop and maintain CI/CD pipelines using GitHub Actions to enable reliable and automated ML deployments.
• Strong experience leading MLOps activities within an ML engineering team.
• Expertise in Terraform, CI/CD, automated testing, and ML architecture design and optimization.
• Hands‑on experience with GCP, BigQuery, and Vertex AI.
• Strong understanding of ML model deployment, monitoring, retraining, and production optimization.
• Experience with Docker and GitHub Actions.

Fixed Term Employment Contract

Work-Life Balance

Flexible Work Mode

What GeekSoft Consulting Offers

• International, collaborative consulting culture with clear career development paths.
• Comprehensive Dutch benefits package emphasizing well‑being, mobility, and career growth.