Summary
✨ AI‑Generated
A Machine Learning Engineer role at a fast-growing technology company undergoing an AI-first transformation. You will build and train models for commercial use cases, take them into production, maintain pipelines and retraining processes, establish monitoring and observability, and help create the underlying AI platform. You will collaborate closely with data, product, and software engineering teams and engage directly with business stakeholders. The role requires at least five years of relevant experience, strong Python skills, and proven experience putting ML models into production.
Highlights
High-impact ML role with ownership from model development through production. Excellent compensation, strong autonomy, and the opportunity to build an AI platform, work cross-functionally, and apply modern ML and AI technologies.
Description
You build models that actually go live.
And you stay the owner once they run.
For my client, a Dutch scale-up, I am looking for a Machine Learning Engineer.
They are moving their entire platform to AI-first and you build the foundation underneath it.
Salary: up to to 9,500 gross per month.
What you do
Build and train models for matching, recommendations and predictions in the commercial processBring those models to production and keep them there: pipelines, deployment, retrainingSet up monitoring and observability, so you notice a model drifting before the business doesHelp build the AI platform the rest of the team will work onIntegrate LLMs and AI APIs where that is the fastest route to impactYou work with data engineering, product and software engineering, and talk directly to the business about what a model needs to deliver.
What you bring
Bachelor or master levelAt least 5 years as an ML engineer, MLOps engineer or similarStrong in PythonModels you brought to production yourself and owned afterwardsExperience with a cloud platform and with CI/CDYou can explain a technical choice to a non-technical stakeholder
You do not need to tick every box.
If you come close, I would like to hear from you.
Nice to have
Vertex AI or BigQuery, MLflow or similar tooling, Kubernetes and containerisation, Infrastructure as Code, experience with LLMs, RAG or AI agents.
Why here
You build the AI foundation instead of maintaining one.
The organisation is at the start of this transition, so your choices decide what it looks like two years from now.
Plenty of autonomy, short lines, and models that show up directly in commercial results.
Salary: up to 9.500 euro gross per month.Travel allowance up to 300 euro per month, or an NS business card for your routeWorking from home allowance per day, at the maximum tax-free rateOne-off home office budget of 500 euro netPension scheme with no employee contribution25 holiday days per year (fulltime)8% holiday payLaptop for business useCollective profit sharing, plus growth within the salary scaleAn internal training academy and external trainers, with real room to develop
Recognise yourself in this? Apply directly or send me a message and we will have a quick chat.
Haystack People works exclusively with this organisation for this vacancy.
Machine Learning, MLOps, Python, Deep Learning, LLM, Generative AI, Model Deployment, Vertex AI, LangChain, Kubernetes, CI/CD, Recommendation Systems
