Senior Machine Learning Engineer

About the team

Our Global Operations team is on a mission to build the best customer experience in fintech, and AI is at the heart of how we get there. As part of our dedicated AI team, you'll sit at the intersection of machine learning engineering and real-world product impact, building the models and systems that power intelligent customer support for over 4 million merchants worldwide. This isn't a research role; it's a hands-on engineering position where the work you ship directly shapes how merchants experience SumUp every day.

What you'll do

Architect, build, and deploy AI solutions into production, ensuring they're reliable, performant, and built to scale

Design and maintain ML infrastructure and pipelines that support efficient data processing, model training, and serving

Fine-tune and optimise machine learning models for accuracy, efficiency, and scalability in large-scale environments

Collaborate closely with data scientists, product managers, and backend engineers to translate business needs into working AI solutions

Apply strong engineering standards across your work, including version control, CI/CD, and testing frameworks

Collect, preprocess, and prepare large text datasets to support high-quality model training and evaluation

You'll be great for this role if

Experience building and deploying scalable machine learning or AI solutions in large-scale production environments, with a focus on reliability and performance

Strong knowledge of AI product development, including chatbot assistants, RAG systems, or similar conversational AI applications

Advanced proficiency in Python, with hands-on experience using MLOps tooling such as MLflow, Kubeflow, Airflow, or Langfuse

Comfort working across the full ML workflow, from feature engineering and data pipelines through to model serving, monitoring, and alerting

Experience deploying ML models using cloud platforms such as AWS, GCP, or Azure, alongside familiarity with Docker, Git, and API integratio