Vacancy description
Imported 2026-11-06 16:15:33.018346+00:00
Senior Machine Learning Engineer, Utrecht. Stack: Python, PyTorch, TensorFlow, scikit-learn, MLflow.
Een internationaal IT-adviesbedrijf in Utrecht neemt een Senior Machine Learning Engineer aan. Je leidt AI- en ML-projecten van idee tot productie. Stack: Python, PyTorch, TensorFlow, scikit-learn, MLflow.
Wat je gaat doen:
AI- en ML-projecten leiden van idee tot productie
ML-modellen ontwerpen, trainen en optimaliseren
Opdrachtgevers adviseren over deployment en beheer
Wat wij vragen:
Master of PhD in data science, informatica of statistiek
Minimaal 5 jaar ervaring in AI en ML
Python, PyTorch, TensorFlow of scikit-learn, MLflow
Goed Nederlands en Engels
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 12:47:24.311061+00:00
AINeeds review
Explicit role/task wording or requested domain skills support the proposed scope; LTA review remains required.
No skills suggested.
Proposed e-CF links
Suggested links for review. They do not assess skill levels.
No e-CF links were suggested.
Other source passages
Senior Machine Learning Engineer
AI suggestion
Classified 2026-11-07 16:24:33.629273+00:00
AINeeds review
AI duties are explicit. No distinct professional data-analysis, statistics, BI, data-engineering, architecture, or governance task is established. The tool list uses alternatives, and requirement importance is not explicit.
Skills suggested
- Machine learning development
Source passage
ML-modellen ontwerpen, trainen en optimaliseren
- Model service operations
Source passage
Opdrachtgevers adviseren over deployment en beheer
- Python programming
Source passage
Python, PyTorch, TensorFlow of scikit-learn, MLflow
- Needs and results communication
Source passage
Opdrachtgevers adviseren over deployment en beheer
Proposed e-CF links
Suggested links for review. They do not assess skill levels.
Machine learning development to D.7: Data Science and Analyticsrelated · draft aiet for amey review
Source passage
ML-modellen ontwerpen, trainen en optimaliseren
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-modellen ontwerpen, trainen en optimaliseren
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
Opdrachtgevers adviseren over deployment en beheer
Task: The task includes deployment and handover evidence.
Model service operations to C.5: Systems Managementrelated · draft aiet for amey review
Source passage
Opdrachtgevers adviseren over deployment en beheer
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
Opdrachtgevers adviseren over deployment en beheer
Task: The task monitors service operation against an agreement.
Python programming to B.1: Application Developmentrelated · draft aiet for amey review
Source passage
Python, PyTorch, TensorFlow of scikit-learn, MLflow
Task: The Python code implements a specified application task with tests.
Needs and results communication to D.11: Needs Identificationrelated · draft aiet for amey review
Source passage
Opdrachtgevers adviseren over deployment en beheer
Task: The task clarifies customer needs for an ICT solution.
Other source passages
ML-modellen ontwerpen, trainen en optimaliseren
AI- en ML-projecten leiden van idee tot productie