8 beste vacatures voor de functie van data scientist in 1302 almere (nieuwe medewerkers gezocht)

Senior AI / ML Engineer (MLOps & ML Platform)
Acquism SARL —Amsterdam Centrum
- Azure
- DevOps
- SQL
(Senior) AI Engineer - m/v/x
Eraneos —Amsterdam-Zuidoost
- Fulltime
- Hybride werken
- Kantoor
- Master
- Bachelor
- Winstdeling
- Reiskostenvergoeding
Snel solliciteren
Consultant Data Engineer
Sia —Amsterdam Oost
- Fulltime
- Hybride werken
- Azure
- DevOps
- Engels
Snel solliciteren
AI Engineer
Orange Business —Amsterdam
- Hybride werken
- Azure
- Informatica
- DevOps
- Reiskostenvergoeding
Lead AI
Eraneos —Amsterdam-Zuidoost
- Fulltime
- Informatica
- Kantoor
- Master
- Winstdeling
- Reiskostenvergoeding
Snel solliciteren
Data Engineer (Kubernetes)
Data Science Lab. —Amsterdam
- Fulltime
- Azure
- DevOps
- AWS
Postdoctoral Researcher – Molecular Drivers of BRCA1-Related Precancer
Antoni van Leeuwenhoek Ziekenhuis —Amsterdam
- € 3.903 - € 5.503 per maand
- Fulltime
- Doctor
- Ziekenhuis
- Analytisch vermogen
- Kosteloos parkeren
- Reiskostenvergoeding
4 uur
Junior Data Scientist
Dentsu —Amsterdam
- Fulltime
- Informatica
- Engels
- Master
2 uur

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Senior AI / ML Engineer (MLOps & ML Platform)

Acquism SARL
Amsterdam Centrum

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Vacaturegegevens

Kwalificaties

CI/CD
Azure
Kubernetes
PyTorch
DevOps
Bash
SQL
AWS
Docker
Terraform
Continuous integration
Redis
New Relic
GitHub
Communicatieve vaardigheden
Python

Volledige vacaturetekst

Job Information

Date Opened 02/19/2026
Job Type Contract
Industry Technology
Work Experience 4-6 years
City Amsterdam
State/Province Noord-Holland
Country Netherlands
Zip/Postal Code 1011

Job Description

Senior AI / ML Engineer (MLOps & ML Platform)

Location: Amsterdam, Netherlands

Contract Duration: 6 months (renewable)

Experience: 6–8 years

About the Role

We are looking for a Senior AI / ML Engineer to join our growing ML Engineering team. You will work closely with data scientists, engineers, and product managers to design, build, deploy, and operate robust machine learning systems that power key services across our Digital and Retail platforms.

This role has a strong focus on MLOps and ML Platform development, helping scale and maintain production-ready ML workflows using modern cloud infrastructure and tooling.

Key Responsibilities

Design, develop, and maintain end-to-end ML pipelines for training, validation, deployment, and monitoring.
Support scalable ML solutions across use cases such as recommendations, forecasting, and automation.
Productionise data science models into reliable, scalable services.
Build and operate ML services using Airflow, Azure ML, and FastAPI.
Automate model deployment and lifecycle management using CI/CD pipelines (GitHub Actions, Azure DevOps).
Improve reliability, observability, and performance of the ML platform.
Implement monitoring, alerting, and model drift detection using tools like Azure Monitor, NewRelic, Grafana, and custom logging.
Manage and evolve infrastructure using Terraform, Docker, and AWS Fargate.
Collaborate cross-functionally with engineering, data, and product teams.

Requirements

Proven experience in ML Engineering, MLOps, DevOps, or Data Engineering with exposure to the full ML lifecycle.

Hands-on experience building or maintaining ML pipelines and workflows.
Strong Python skills with experience using MLflow, Scikit-learn, PyTorch, or similar frameworks.
Experience with cloud platforms, particularly Azure and AWS.
Solid understanding of containerization (Docker) and orchestration (e.g. Kubernetes).
Experience with CI/CD tools (GitHub Actions, Azure DevOps).
Familiarity with Infrastructure as Code (Terraform).
Strong communication skills and a collaborative mindset.

Technical Stack

Languages: Python (primary), SQL, Bash
Cloud: Azure, AWS
ML & Data: MLflow, Azure ML, Airflow, Snowflake, Delta Lake, Redis, Azure Data Lake
APIs & Services: FastAPI
Infrastructure & Ops: Docker, AWS Fargate, Terraform, GitHub Actions, Azure DevOps, Grafana, Azure Monitor

Desirable Skills

Experience with data platforms such as Snowflake or Azure Data Lake.
Deploying ML models as APIs or services (FastAPI, Azure Functions).
Strong understanding of model performance monitoring, observability, and drift detection.

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data scientist vacatures in 1302 almere

Senior AI / ML Engineer (MLOps & ML Platform)

(Senior) AI Engineer - m/v/x

Consultant Data Engineer

AI Engineer

Lead AI

Data Engineer (Kubernetes)

Postdoctoral Researcher – Molecular Drivers of BRCA1-Related Precancer

Junior Data Scientist

Discover related jobs

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Job Description

Senior AI / ML Engineer (MLOps & ML Platform)

About the Role

Key Responsibilities

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