Vacancy description
Imported 2026-11-06 16:15:33.015796+00:00
Senior MLOps Engineer, Utrecht. Stack: Docker, Kubernetes, MLflow, Kubeflow, Airflow, Azure ML, SageMaker.
Een internationaal IT-adviesbedrijf in Utrecht neemt een Senior MLOps Engineer aan. Je leidt MLOps-trajecten bij opdrachtgevers en brengt modellen betrouwbaar in productie. Stack: Docker, Kubernetes, MLflow, Kubeflow, Airflow, Azure ML, SageMaker.
Wat je gaat doen:
ML-architecturen, pipelines en CI/CD bouwen
Monitoring van modeldrift en datakwaliteit inrichten
Opdrachtgevers adviseren over ML-platforms
Wat wij vragen:
Master in data science of informatica
Minimaal 5 jaar ervaring met MLOps of data engineering
Docker, Kubernetes, MLflow, Kubeflow of Airflow
Azure ML of SageMaker
Wat wij bieden:
Hybride werken vanuit Utrecht, 32 tot 40 uur
Een groeiend Data en AI-team met ruimte voor eigen inbreng
Opleidingsbudget en vaste studiedagen
Full-text baseline
Classified 2026-11-07 12:47:24.298868+00:00
AINeeds review
Explicit role/task wording or requested domain skills support the proposed scope; LTA review remains required.
Skills suggested
- Model service operations
Source passage
Je leidt MLOps-trajecten bij opdrachtgevers en brengt modellen betrouwbaar in productie.
Proposed e-CF links
Suggested links for review. They do not assess skill levels.
Model service operations to B.4: Solution Deploymentrelated · draft aiet for amey review
Source passage
Je leidt MLOps-trajecten bij opdrachtgevers en brengt modellen betrouwbaar in productie.
Task: The task includes deployment and handover evidence.
Model service operations to C.5: Systems Managementrelated · draft aiet for amey review
Source passage
Je leidt MLOps-trajecten bij opdrachtgevers en brengt modellen betrouwbaar in productie.
Task: The task includes technical administration of the model service and its resources.
Model service operations to C.3: Service Deliveryrelated · draft aiet for amey review
Source passage
Je leidt MLOps-trajecten bij opdrachtgevers en brengt modellen betrouwbaar in productie.
Task: The task monitors service operation against an agreement.
Other source passages
Senior MLOps Engineer
AI suggestion
Classified 2026-11-07 16:24:31.335019+00:00
DataAINeeds review
The requirements mix alternatives with “of” and “of,” while the list of platform tools uses “of”; it is unclear which individual tools or experience areas are mandatory. The description does not state whether the master’s degree is mandatory or preferred.
Skills suggested
- Data pipelines
Source passage
ML-architecturen, pipelines en CI/CD bouwen
- Data cleaning and quality
Source passage
Monitoring van modeldrift en datakwaliteit inrichten
- Machine learning development
Source passage
ML-architecturen, pipelines en CI/CD bouwen
- Model service operations
Source passage
Je leidt MLOps-trajecten bij opdrachtgevers en brengt modellen betrouwbaar in productie.
Proposed e-CF links
Suggested links for review. They do not assess skill levels.
Data pipelines to B.2: Component Integrationrelated · draft aiet for amey review
Source passage
ML-architecturen, pipelines en CI/CD bouwen
Task: The task integrates systems or components and checks compatibility.
Data pipelines to D.7: Data Science and Analyticsrelated · draft aiet for amey review
Source passage
ML-architecturen, pipelines en CI/CD bouwen
Task: The task extracts and integrates data sources for analytics.
Data cleaning and quality to D.7: Data Science and Analyticsrelated · draft aiet for amey review
Source passage
Monitoring van modeldrift en datakwaliteit inrichten
Task: The task prepares data for analysis.
Data cleaning and quality to D.10: Information and Knowledge Managementrelated · draft aiet for amey review
Source passage
Monitoring van modeldrift en datakwaliteit inrichten
Task: The task applies quality controls within an organisational information process.
Machine learning development to D.7: Data Science and Analyticsrelated · draft aiet for amey review
Source passage
ML-architecturen, pipelines en CI/CD bouwen
Task: The task develops or adapts a model from data for a defined analytical task.
Machine learning development to B.1: Application Developmentrelated · draft aiet for amey review
Source passage
ML-architecturen, pipelines en CI/CD bouwen
Task: The task implements an application or component that uses the model.
Model service operations to B.4: Solution Deploymentrelated · draft aiet for amey review
Source passage
Je leidt MLOps-trajecten bij opdrachtgevers en brengt modellen betrouwbaar in productie.
Task: The task includes deployment and handover evidence.
Model service operations to C.5: Systems Managementrelated · draft aiet for amey review
Source passage
Je leidt MLOps-trajecten bij opdrachtgevers en brengt modellen betrouwbaar in productie.
Task: The task includes technical administration of the model service and its resources.
Model service operations to C.3: Service Deliveryrelated · draft aiet for amey review
Source passage
Je leidt MLOps-trajecten bij opdrachtgevers en brengt modellen betrouwbaar in productie.
Task: The task monitors service operation against an agreement.
Other source passages
Monitoring van modeldrift en datakwaliteit inrichten
Minimaal 5 jaar ervaring met MLOps of data engineering
Senior MLOps Engineer
ML-architecturen, pipelines en CI/CD bouwen
Opdrachtgevers adviseren over ML-platforms