🌟 Role: Machine Learning Engineer

📍 Location: Amsterdam (hybrid)

🚀 Contract: Permanent

About RevoData:

We're a boutique Data & AI consultancy partnered with Databricks. We aim to make Data & AI more accessible to companies across Europe, empowering them to harness their full potential and increase their competitive advantage. Our team of engineers see every data problem as a puzzle waiting to be solved, working on versatile projects across a range of industries.

If a no-ego, no-nonsense culture resonates with you, then keep reading for more details!

About You

As a Machine Learning Engineer at RevoData, you help clients automate, deploy and run machine-learning models in production. You enjoy building reliable ML platforms, improving how teams work with models, and making sure ideas actually make it into production.

Must-haves

• Experience across the end-to-end ML lifecycle (from development to production and maintenance) in multiple real-world projects
• Experience with Databricks for ML workloads such as:

MLflow on Databricks,

Asset Bundles for CI/CD,

Model deployment and serving

• Experience building or operating ML/data pipelines in a cloud or big-data environment
• Practical knowledge of LLMs and GenAI workflows (e.g. RAG, prompt/context engineering)
• Strong collaboration skills and the ability to juggle multiple client projects

Nice-to-haves

• Hands-on experience creating ML models such as:

Traditional ML (Scikit-learn, XGBoost, LightGBM, CatBoost)

Deep learning (PyTorch, TensorFlow)

GenAI LangChain/LangGraph, LlamaIndex, DSPy, Pydantic AI etc.

• Experience with large-scale data pipelines for model training and inference
• Experience working with platforms such as Hugging Face, OpenAI or Azure AI

*This role is open to Senior and Principal level candidates. For corresponding salary details, please see the Additional Info section at the bottom of this vacancy.

*Proficiency in Dutch is required, with exceptions for candidates who are Databricks certified and have advanced experience on the platform.

What we offer:

Tech Playground: Love experimenting? So do we. Play around with Databricks, Bicep, DBT, OpenAI, ChatGPT, and more.

Unlimited Learning: Take advantage of our partner academies, weekly workshops, and lunch & learns.

Fun Clubs: Join our climbing club, padel club, or start your own club!

Work-Life Balance: We trust you to get the job done - whether you're an early bird or a night owl. Our hybrid set up includes Wednesdays at our HQ in NDSM, typically two days at the client's office and the rest is up to you: work from home or join us at the office.

Wellbeing Budget: €75 net well-being budget to spend however you like - some recent spends have included gym memberships, bouldering shoes, a calm-app subscription or a trip to the hairdresser!

Allowances: Every month work from home, travel & internet/phone allowance.

Additional Perks: Pension plan, permanent contract, lunch at the office, quarterly events, workation option & a pet-friendly office in the heart of NDSM!

We'd love to meet you!

If you resonate with our technology, culture, and vision, we're excited to meet you! Apply directly through this vacancy, our website, or connect with me on LinkedIn. We appreciate a CV that goes further than listing your job experience. Perhaps even accompany it with your favourite Spotify playlist, a picture of your dog or the best book you have ever read.

We value getting to know you better, and our final interview takes place in person at our Amsterdam office. Please note, we do not cover interview travel costs or relocation expenses and cannot provide visa sponsorships as we are not registered as a referee employer.

Additional info:

• RevoData has been growing rapidly over our first 3 years, and we’re already planning ahead for 2026 with multiple start dates available. Apply now and be part of our next chapter of growth.
• We are open to hiring at Senior or Principal level. The Senior salary range is €65,000-€90,0000, and Principal is €90,000-€110,000 per year. As part of the hiring process, candidates are benchmarked during the technical assessment. If your skills and experience align more closely with a different level, we will discuss the corresponding salary band with you.