Senior MLOps Engineer: Scale & Automate Production ML

develop; Brussel; On-site; EUR 85,000 - 120,000; Full time

Job summary

Develop is seeking an experienced Senior MLOps Engineer to design, build and operate scalable ML platforms in a large-scale enterprise environment. You will automate model deployment, enhance reliability and optimise performance across production ML systems.

In this hands-on role, you will work with Data Scientists and Platform Engineering teams to implement IaC, CI/CD pipelines, and observability using Docker, Kubernetes and modern MLOps frameworks.

Qualifications

• Proven experience in building and operating MLOps platforms.
• Strong Python programming skills.
• Hands-on with MLflow, Kubeflow or similar.
• Experience with Docker and Kubernetes.
• Experience CI/CD pipelines with GitHub Actions, GitLab CI or Azure DevOps.
• Cloud experience with AWS SageMaker, Azure ML or Vertex AI.
• Infrastructure as Code with Terraform.
• Experience with model serving and monitoring.
• Knowledge of ML lifecycle, feature stores and data pipelines.
• LLMOps and deployment of Generative AI models.

Responsibilities

• Design and maintain scalable MLOps pipelines and infrastructure.
• Develop automated CI/CD pipelines for ML model training, testing and deployment.
• Deploy and manage ML models in production environments.
• Implement model monitoring, versioning, experiment tracking and performance optimisation.
• Build and maintain containerised ML workloads using Docker and Kubernetes.
• Work closely with Data Scientists, ML Engineers and Platform Engineering teams.
• Implement Infrastructure as Code (IaC) and automated cloud provisioning.
• Improve model lifecycle management, observability and platform reliability.

Skills

MLOps / ML Platform Engineering

Python programming

CI/CD concepts

Cloud architectures

Tools

Docker

Kubernetes

GitHub Actions

GitLab CI

Azure DevOps

Terraform

MLflow

Kubeflow

SageMaker

Azure ML

Vertex AI

KServe

BentoML

NVIDIA Triton

Prometheus

Grafana

Job description

Develop is seeking an experienced Senior MLOps Engineer to design, build and operate scalable ML platforms in a large-scale enterprise environment. You will automate model deployment, enhance reliability and optimise performance across production ML systems.

In this hands-on role, you will work with Data Scientists and Platform Engineering teams to implement IaC, CI/CD pipelines, and observability using Docker, Kubernetes and modern MLOps frameworks.