Machine Learning Engineer

About the role

About the team

Within the Global Operations organisation, our mission is to build the best customer experience in the fintech industry by delivering an effortless customer experience to all our merchants. We are seeking a skilled and passionate Senior Machine Learning Engineer to join our talented AI team and lead the development of AI models and algorithms that will drive our customer support service to new heights.

As a Machine Learning Engineer at SumUp, you will be responsible for building and optimising state-of-the-art AI models and algorithms. Your expertise with machine learning, deep learning, and LLMs will be crucial in driving the success of our AI-driven initiatives. You will work closely with cross-functional teams, including backend engineers, data scientists and product managers, to translate business requirements into innovative AI solutions. Your contributions will shape the future of our support products and help us stay at the forefront of technological advancements in the field of AI.

What you’ll do

- 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.

- 4+ 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.

- Solid Software development engineering skills to design computationally effective solutions and maintain them 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).