ML/AI Engineer
Role details
Job location
Tech stack
Job description
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
Requirements
API integrations Why you should join SumUp - Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Barcelona office. This involves an office-first setup - Commitment to Diversity and Inclusion: be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced - Enrolment onto our Virtual Stock Option programme: you will own a stake in SumUp's future success - A dedicated annual L&D budget of €2000 for your individual development, which can be used to attend conferences and/or advance your career through further education - Generous time off: enjoy 23 days of paid leave plus public holidays and special leave days - Subsidised restaurant tickets (Edenred) and office breakfast on Mondays - Break4me: 1-month sabbatical after 3 years of service - Referral Bonus: earn additional rewards by referring