Senior Machine Learning Engineer

Role: Machine Learning Engineer

Seniority level: Senior

Location: Brussels (BE)

Onsite

Assignment period

01 Dec 202601 Dec 2027

Assignment description

MLOps / LLMOps Engineer

Location: Brussels, Belgium (Near-site)

We are looking for an MLOps / LLMOps Engineer to design, deploy, and maintain production-grade Machine Learning and Large Language Model (LLM) platforms in secure hybrid cloud environments.

Key Responsibilities

Design, deploy, and operate scalable ML and LLM platforms.

Manage the full ML/LLM lifecycle, from training and evaluation to deployment and monitoring.

Build and maintain CI/CD pipelines for machine learning solutions.

Collaborate with Data Scientists and Software Engineers to deploy AI models into production.

Monitor model performance, reliability, and operational efficiency.

Implement automation, orchestration, and infrastructure-as-code solutions.

Ensure platform security, compliance, and operational best practices.

Produce technical documentation and support team adoption of MLOps/LLMOps practices.

Key Skills

MLOps / LLMOps

Kubernetes, Docker, Podman

MLflow, TensorFlow (TFX)

Airflow

Python, Bash, Linux

AWS or Cloud Platforms

Terraform, CloudFormation

Kafka, RabbitMQ, Redis

OpenSearch, MongoDB

SQL

Prometheus, Grafana, ELK, OpenTelemetry

Model Deployment, Monitoring & Validation

Education

Bachelor's degree (EQF Level 6) or higher in Computer Science, Information Technology, Systems Engineering, or a related field.

Required skills

Machine Learning

Orchestration

MLFlow llm

Containerization

Languages

English

(Proficient)