Machine Learning (MLOps) Engineer

GeekSoft Consulting; Amsterdam; Hybrid; EUR 85,000 - 110,000; Full time

Benefits offered by this job

Fixed term contract

Flexible work mode

Work-life balance

Career development paths

Job summary

GeekSoft Consulting in the Netherlands is seeking an experienced ML Engineer for a fixed-term contract to design, build and continuously improve the client's online platform. You will lead the ML lifecycle, ensuring low latency, reliability and production readiness while aligning with engineering standards.

You will deploy on Google Cloud Platform with BigQuery and Vertex AI, implement IaC with Terraform, containerize with Docker, and run CI/CD pipelines via GitHub Actions as part of an

Qualifications

• Develop, maintain and optimize ML models for pricing ancillary products such as seats, baggage, upgrades.
• Design end-to-end ML lifecycle: model development, retraining, deployment, monitoring and optimization.
• Deploy ML solutions on GCP using BigQuery and Vertex AI with IaC via Terraform.
• Build CI/CD pipelines using GitHub Actions for reliable ML deployments.
• Lead MLOps activities within an ML engineering team.
• Hands-on experience with Terraform, CI/CD, automated testing and ML architecture.

Responsibilities

• Help design and improve the client's online platform.
• Research and apply new technology solutions following best practices.
• Ensure resiliency and availability of products.
• Be an active, productive team member.

Skills

MLOps leadership

ML engineering

CI/CD automation

Terraform

GCP

Docker

GitHub Actions

BigQuery

Vertex AI

CI/CD pipelines

Tools

Terraform

Docker

GitHub Actions

GCP

BigQuery

Vertex AI

Job description

Fixed Term Employment | GeekSoft Consulting | Netherlands

Posted On 22.09.2026

Job Information

Technology

Work Experience 5+ years

State/Province Noord-Holland

City Amsterdam

1011

Job Description

• 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.