Live opening · Posted 11 days ago

Machine Learning Engineer

XpertDirect · European Union (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 11 days ago
CompanyXpertDirect
LocationEuropean Union (Remote)
Work modeNo
SourceLinkedin
Listed11 days ago

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About the role

Description supplied by the original job listing.

Machine Learning Engineer
Remote — European Union. Company based in Amsterdam, Netherlands.
AI SaaS | Machine Learning | Applied AI | ML Engineering | Production AI
Our client, a growing AI SaaS company based in Amsterdam, is looking for a Machine Learning Engineer to build, train, and productionise machine-learning models powering customer-facing AI products.
You'll work across the ML lifecycle—from experimentation and model development through integration, deployment, and production improvement—alongside Software, Data, and Product teams.
What You'll Work On
• Design, train, and evaluate machine-learning models in Python
• Develop ML solutions using PyTorch and modern ML libraries
• Turn prototypes and experiments into production-ready systems
• Build APIs and services that expose ML capabilities to customer-facing products
• Containerise ML workloads using Docker
• Deploy and operate models in AWS and/or GCP environments
• Work with structured and unstructured datasets using Python and SQL
• Build data processing and feature-engineering workflows
• Evaluate model quality and iterate based on production performance
• Improve inference performance, scalability, and reliability
• Integrate ML capabilities into existing product and backend systems
• Collaborate with Product, Data, and Software Engineers throughout the development lifecycle
Core Skills
• 3+ years of professional experience in Machine Learning Engineering, Applied ML, Data Science with production experience, or a similar role
• Python
• PyTorch
• Machine Learning
• Docker
• AWS and/or GCP
• SQL
• REST APIs / backend integration
• Experience taking ML models beyond experimentation into production
Nice to Have
⭐ scikit-learn
⭐ TensorFlow
⭐ FastAPI
⭐ Kubernetes
⭐ MLflow
⭐ NLP / LLMs
⭐ Computer Vision
⭐ Recommendation or ranking systems
⭐ Feature stores
⭐ Model monitoring
⭐ CI/CD for ML workloads
⭐ Experience building customer-facing AI products

Work arrangement
No

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