Machine Learning Engineer

• Build and apply machine learning solutions to improve support operations, metadata enrichment, and ticket processing
• Design and develop ML models that solve real product and operational challenges
• Own the full model lifecycle from prototyping to deployment and continuous improvement
• Improve and scale our MLops infrastructure to support experimentation, deployment, and monitoring
• Work on systematizing the use of LLM's in the company, setting up evaluation and monitoring guidelines and protocols for various applications
• Partner closely with Product, Data, Operations and Engineering to understand problems and deliver solutions
• Turn data into actionable insights that drive product and business decisions
• Contribute to the adoption of LLMs and AI-driven features across the platform
• Continuously improve how we use data and machine learning to create impact for fans and organisers

Do you have experience in Redshift?, Do you have a Master's degree?, You're curious, hands-on, and excited to turn ideas into working solutions. You enjoy working across teams and care about building things that actually make a difference.

• 6+ years of experience as a Machine Learning Engineer or Data Scientist
• Strong foundation in machine learning theory and practical application
• Comfortable working with Python and object-oriented design principles
• Experience with at least two of the following: Hydra, Dagster, AWS, Github Actions, Docker, Kubernetes
• Solid understanding of data preprocessing and feature engineering
• Experience integrating third party LLM's in a production environment
• Experience in designing and creating ML-ops pipelines
• Strong communication skills and ability to work cross-functionally
• A proactive mindset and eagerness to learn and improve
• You're based in The Netherlands, are an EU resident, or have an existing visa to work here (a relocation package isn't available)

Nice to have:

• Experience with ETL processes and data pipelines
• Experience with Redshift, DBT or Clickhouse
• Background in statistics or statistical modelling

At TicketSwap, we're on a mission to bring fans and experiences together on our marketplace so fans can go to more events they love, while organisers build lasting success. With millions of users across dozens of countries, we're scaling fast and building a platform that both fans and organisers trust., You'll join a high-talent, international team where strong ideas win and ownership comes early. At TicketSwap, you're trusted to explore, build, and improve, while working alongside people who challenge and support you. Your work will directly impact millions of fans across the world. You'll have the space to experiment, the responsibility to deliver, and the opportunity to help shape how we use machine learning at scale.