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# Senior Machine Learning Engineer

- **Company:** The Seminole Tribe of Florida, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Data Flow Control, Python (Programming Language), Machine Learning, Recommender Systems, SQL Databases, Data Processing, Kotlin, Gitlab-ci, Kubernetes, Machine Learning Operations
- **Published:** August 28, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pfe063mbvl

## About the Role

In Team Recommendations, priorities can shift as we learn more about our customers, our systems and the opportunities in front of us. That means you should feel at home in an iterative way of working, where the end-state is not always fully known from the start. You balance short-term delivery with long-term technical viability, take ownership of the systems and solutions you work on, and proactively look for ways to improve reliability, scalability, efficiency and costs. If you combine a "getting things done" mindset with engineering care and a healthy sense of humour, you will fit right in.

Technically, you bring solid engineering experience and hands-on machine learning expertise. Ideally, you have at least 5 years of engineering experience, including at least 2 years of experience as a Machine Learning Engineer, and you are comfortable building production-grade solutions in Python. You know your way around cloud platforms, Kubernetes, SQL and modern data or ML pipelines, and you understand what it takes to keep machine learning systems maintainable after they go live.

A strong fit for this role has practical experience with the tools we rely on every day to operate recommendations at scale: Airflow for orchestrating data and ML workflows, dbt for transforming and modelling data in a maintainable way, and Dataflow for scalable data processing. These tools are essential to how we build, run and improve our recommendation pipelines, so we are looking for someone who can use them confidently in a production environment.

Familiarity with GitLab CI, Vertex AI, recommender systems at scale, Kotlin or Java is a plus. More important than ticking every possible box is your ability to apply these skills thoughtfully, make pragmatic technical choices and grow together with the team.

## Description

With 13 million customers, 129 million visits per month and about 41 million products on display, bol is the most successful online retail platform in the Netherlands and Belgium. Team Recommendations helps customers navigate that scale by making product discovery more personal, relevant and timely. That means combining data, machine learning and engineering craft to make life easier and more fun for customers, while learning fast and sharing what works along the way.


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