Senior Machine Learning Engineer

Dtyped; Netherlands; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Mobility allowance

AI subscription (Claude Code)

Pension plan

Vacation days: 25 days + 4 study days+

Volunteer day

€3500/year personal budget

Databricks learning content

Opportunity to become Databricks MVP/Ч

Monthly team events

Job summary

Dtyped is a young data‑driven consultancy. You’ll design and scale data‑driven ML systems in the cloud, join a small team, and influence client data ambitions while sharing entrepreneurial ideas for growth.

You’ll work closely with a CTO and a collaborative group that values flexibility, learning, and practical impact for clients and the business.

Qualifications

• Bachelor’s (HBO) or Master’s degree, IT or business related preferred.
• 3+ years of ML engineering in at least one public cloud (Databricks preferred).
• Strong Python skills (PySpark, MLFlow, scikit-learn).
• Hands-on MLOps: training, versioning, deployment, monitoring.
• Experience with CI/CD: GitHub Actions or Azure DevOps Pipelines.
• Knowledge of Databricks features: Delta, Unity Catalog, Feature Store.

Responsibilities

• Design and scale data-driven systems, ideally in the cloud.
• Collaborate with clients and internal teams to implement ML solutions.
• Contribute to product growth and share ideas for team/company expansion.
• Engage beyond tooling and drive data strategy discussions.

Skills

ML engineering

Python

MLOps

CI/CD

Databricks

Cloud platforms

Education

Bachelor’s (HBO) or Master’s degree

Tools

Databricks

Unity Catalog

Feature Store

GitHub Actions / Azure DevOps

Job description

What is working at Dtyped like?

At Dtyped, it’s all about data and people. You’ll join a small consulting team that helps clients get the most out of their data. Sometimes you’ll work alongside colleagues, sometimes as part of the client’s team.

We’re creating a group where hard work, fun, and good food go together naturally. Every week we meet at the office. Can’t make it? No problem, freedom and flexibility come first. Families are part of the picture too, at team events they’re welcome to join in.

We’re a young startup with no heavy rules or boxes to fit into. Your ideas really matter here. Are you curious, responsible and ready to grow with people who look out for each other? Then you’ll feel right at home with us.

Who are you?

You’re an experienced Machine Learning Engineer who knows how to design and scale data-driven systems — ideally in the cloud. Familiar with Databricks? That’s a plus, but not required. What matters most is that you’re confident working with at least one of the major cloud providers (Azure, AWS, or GCP) and that you bring a cloud-first mindset to building and deploying ML solutions.

We’re looking for someone who is as engaged as we are: helping clients for real, thinking beyond the tooling and joining the conversation about their bigger data ambitions. Got Databricks or cloud certifications? That’s definitely a plus with us.

Since we’re still a small team, we’d love someone with a touch of entrepreneurship. Not just building, but also sharing ideas on how we can grow as a team and as a company.

Requirements

• You hold a Bachelor’s (HBO) or Master’s degree, preferably IT or business related;
• You have 3+ years of experience engineering machine learning solutions in one of the 3 public clouds (preferably with Databricks);
• Strong proficiency in Python (PySpark, MLFlow, scikit-learn or similar libraries);
• Hands‑on experience with MLOps practices: model training, versioning, deployment and monitoring;
• You know your way around CI/CD systems like GitHub Actions or Azure DevOps Pipelines.
• Experience with real‑time or streaming ML pipelines using Structured Streaming on Databricks;
• Knowledge of Unity Catalog for governance and securing ML assets;
• Familiarity with Databricks Feature Store (or a 3rd party feature store) for managing and reusing features;

Missing one or two boxes? No worries. We’d love to have a chat anyway. For us, it’s just as much about you as a person, your drive and how you click with the team.

Message from our CTO

Hey fellow data practitioner!

I’m excited to collaborate with like‑minded professionals to build world‑class data platforms. I’ve been working with Databricks for nearly a decade, and over the years, I developed a strong passion for teaching, mentoring, and helping others grow—both technically and personally.

Of course, I’m still learning too. With Databricks evolving so rapidly, it’s a challenge (and a thrill!) to keep up. That’s why I’m here—not just to share what I know, but to learn from you as well. Everyone brings unique experiences and insights, and I believe we all grow stronger by learning from each other.

Looking forward to what we’ll build together, to truly make this world and society more data driven!

Technical Co-Founder

Questions about this role?

Not sure you tick every box? Salary, perks, culture, or something else? No problem. We’re a team of happy misfits ourselves, and we’d still love to chat!

Clear compensation based on your experience and the value you bring

Share together in Dtyped’s value

Mobility allowance

Company car or a solid allowance

AI subscription

Join our Anthropic Team plan including Claude Code!

And of course also

Pension

We think it’s important that you’re set up well, now and later. We did the research, and you’ll get an excellent pension plan, so no worries for later.

25 vacation days, 4 study days, and 1 volunteer day (buy extra if you like)

Monthly fun

Monthly fun (bbq’s, fun events
(with family!))

Laptop and a personal budget

Macbook or Windows? You choose yourself! You will also get a € 3500/year personal budget.

Learning

Unlimited access to a Databricks learning content (partner academy)

MVP / Champion

Help and guidance to become a Databricks MVP and/or Champion

Inspiring colleagues

Learn alongside the best data professionals.