Machine Learning Engineer – Cloud | MLOps | GenAI (Relocation provided)
Wypoon · Amsterdam
What this role requires
4 requirements, read out of the advert rather than guessed from the job title:
Also mentioned, not required: scikit-learn, TensorFlow, PyTorch, XGBoost, Kubernetes, Docker, MLflow, Airflow, SageMaker, Vertex AI, Azure ML, Generative AI, HuggingFace Transformers, LangChain, RAG, DVC, Tecton, Feast. Worth having, but their absence is not what gets a CV filtered out.
See how often each of these is required across open data roles in Europe.
Free, no card. Tells you which of them your CV evidences and which it only implies.
Job description
Are you a Machine Learning Engineer with a passion for building real-world, production-grade AI solutions in the cloud?
At Wypoon Technologies, we’re expanding our network of skilled ML Engineers to support leading clients across the Netherlands. From predictive analytics to real-time recommendations and Generative AI use cases,you’ll work on meaningful projects that scale.
Whether your focus lies in model development, MLOps, or cloud-native architecture, we’re looking for engineers who can bring machine learning to life in enterprise environments.
Why Join Us?
At Wypoon Technologies, you’ll work on dynamic projects for industry leaders such as Heineken, ING, ASML, Philips, and Shell , tackling exciting challenges and delivering tailored enterprise solutions.
Here’s what makes us stand out:
Read the full description (42 more sections)Show less
✔ Impactful Work : Shape the future of our clients’ digital landscapes.
✔ Innovative Environment : Collaborate within a supportive team that values learning and growth.
✔ State-of-the-art technology : Access the latest tools and platforms.
✔ Global Opportunities : Dreaming of living and working in the Netherlands or Belgium? We provide full support with visa processes, making your transition smooth and hassle-free!
Key Responsibilities
Designing and implementing machine learning pipelines in Azure cloud environment
Developing and deploying models for classification, regression, time series, recommendation, or NLP use cases
Working with structured and unstructured data, and applying feature engineering, model tuning, and evaluation techniques
Packaging and deploying models using containerization (e.g., Docker, Kubernetes)
Automating and monitoring ML workflows using MLflow, Airflow, or cloud-native tools (SageMaker, Vertex AI, Azure ML)
Collaborating with data scientists, engineers, and product teams to translate business problems into ML solutions
Contributing to MLOps practices: model versioning, CI/CD for ML, performance monitoring, and rollback strategies
Requirements
At least 5 years of professional experience.
Advanced proficiency in English (minimum B2 level in speaking, writing, listening, and reading).
A bachelor’s degree in Computer Science, Software Engineering, or a related field.
Strong proficiency in Python, including libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost
Experience building and deploying ML models in at least one major cloud platform: Azure, AWS, or GCP
Familiarity with ML pipeline orchestration and CI/CD practices
Experience with Generative AI use cases, such as working with LLMs, embedding models, prompt engineering, or custom GPT integrations
Familiarity with HuggingFace Transformers, LangChain, or RAG architectures
Exposure to Responsible AI, explainability, or ethical ML practices
Background in MLOps tooling: MLflow, DVC, Tecton, Feast
Experience with data labeling tools or ML observability platforms
Solid understanding of software engineering principles and cloud infrastructure
Experience working with APIs, data lakes, and distributed systems is a plus
Comfortable in Agile environments and cross-functional teams
What We Offer
Competitive Compensation : Salary tailored to your skills and experience.
Generous Time Off : 25 paid vacation days (based on a 40-hour work week).
Relocation Support : A relocation and travel budget to ease your transition.
Tax Benefits : Eligibility for the 30% ruling.
Travel Reimbursement : We've got your daily commute covered.
Top-Notch Equipment : A high-quality device to ensure you work efficiently.
Professional Development : Financial support for certifications, technical training, and language courses—because we value your long-term career growth.
Family : Visa sponsorship for your partner and children under 18.
Temporary Accommodation : Stay in temporary housing while we help you find your permanent home.
Comprehensive Relocation Assistance : Extensive support to help you settle in smoothly.
Community & Fun : Enjoy team events and connect with developers from around the globe!
Join Wypoon Technologies, where your expertise will thrive, your ideas will be valued, and your career will reach new heights.
Apply now to be part of our transformative journey!
Find more English Speaking Jobs in Netherlands on Arbeitnow
You will apply. Then you will hear nothing.
And no one will tell you what was wrong. See it before you send: your ATS score, every weak line, and the fix for each.
- 1
Drop in your CV
One PDF, thirty seconds. No card.
- 2
See what is wrong with it
Every weak passage, quoted from your own CV, with the line to replace it.
- 3
Apply where you fit
Every European role ranked against what your CV actually says.
- Free, no card
- Your CV file is deleted after parsing
- Or skip the upload — build your profile by hand
- Refreshed every 6 hours