Machine Learning Engineer (m/f/d)

Your new company

You will be joining a well‑established organisation operating in the insurance and financial risk sector, recognised for its modern approach to technology and continuous investment in high‑quality digital services. With a strong international presence and a culture that values innovation, this company promotes a balanced work environment, professional development and long‑term career opportunities all while driving impactful solutions across global markets.

Your new role

As a Machine Learning Engineer, you will play a central role in bringing ML solutions into production. You’ll develop and maintain the infrastructure needed for both real‑time and batch model deployment, create Python‑based APIs to serve models, and ensure seamless integration of ML services with user‑facing applications.

Working closely with cross‑functional engineering teams, you will apply software engineering best practice, improve reliability and scalability, and contribute to the evolution of the internal model registry and monitoring processes

What you’ll need to succeed

• Degree in a quantitative field such as Computer Science, Mathematics, Physics or Engineering.
• Hands‑on experience deploying, monitoring and maintaining ML models in production.
• Strong Python development skills, ideally in ML engineering environments.
• Solid understanding of software engineering good practices (including TDD).
• Familiarity with cloud technologies such as AWS, GCP or Azure.
• Experience with Terraform or other Infrastructure‑as‑Code tools.
• Knowledge of Docker, container orchestration and CI/CD workflows.
• Ability to work independently, solve complex problems and contribute in Agile setups.

What you’ll get in return

You’ll join a forward‑thinking environment that values autonomy, innovation and continuous improvement. Expect a supportive hybrid work model, excellent work‑life balance and a comprehensive benefits package that includes extra annual leave days, health perks and long‑term development opportunities. This is your chance to work in a collaborative culture with highly skilled professionals and contribute to impactful, data‑driven solutions.

Next Steps

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