Senior Machine Learning Engineer

What you’ll do

• Architect, design, develop and deploy our AI solutions and systems in production environments, ensuring reliability, high performance and scalability.

• Collaborate and communicate closely with data scientists, product managers, developers and other business stakeholders to bring state-of-the-art AI solutions to Customer Support, enhancing customer experience and improving operational efficiency.

• Develop and maintain ML infrastructure and pipelines to support efficient data processing, model training and serving.

• Optimize and fine-tune machine learning models to improve accuracy, efficiency and scalability.

• Collect, preprocess and clean large text datasets to ensure high-quality input for model training and evaluation.

• Embrace software development principles, best practices and industry standards, including version control, CI/CD processes and unit testing frameworks as your day-to-day work.

• Collaborate with cross-functional teams to ensure seamless integration of machine learning solutions into software applications and platforms.

You’ll be great for this position if you have:

• Bachelor’s degree in Machine Learning, Computer Science or an engineering-related field.

• +8 years of proven experience working as a Machine Learning Engineer, focusing on building and deploying scalable machine learning or AI solutions and data-driven systems.

• Relevant experience building AI products, such as Chatbot Assistant, RAG system, etc.

• Excellent software development engineering skills to design computationally effective solutions and maintenance in large-scale production environments (data version control, model serving, continuous monitoring & alerting)

• Experience building and deploying ML models using cloud services (AWS, GCP, or Azure).

• Expert in Python and familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow, Langfuse).

• Experience with machine learning workflow orchestration and algorithms optimisation, feature engineering pipelines, data ingestion and transformation.

• Good understanding of data pipelines, APIs, containers (Docker), and version control (Git).

• Excellent analytical and problem-solving skills, with strong attention to detail.

• You have working proficiency and communication skills in verbal and written English.

Why you should join SumUp:

• Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin 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

• A dedicated annual L&D budget of €2,000 for attending conferences and/or advancing your career through further education.

• Enrolment onto our VSOP program: You will own a stake in SumUp’s future success

• A corporate pension scheme where we match up to 20% of your contributions

• 30 Days Sabbatical: Enjoy the unique opportunity to take a well-deserved break with our 30 days sabbatical benefit after completing 3 years of employment with SumUp.

• Referral Bonus: Earn additional rewards by referring talented individuals to join the SumUp team.

• Numerous other benefits such as Urban Sports Club subsidy, Kita placement assistance, relocation assistance, subsidised office lunches.