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Software / Machine Learning Engineer

Pubblicato il 12-09-2026 - PRIMa in Italia

Are you looking for a new challenge?
Prima could be the place for you.
Since 2015, we’ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we’ve quickly become the number one online motor insurance provider. To help fuel that growth, we need a Software Engineer- Machine Learning to join our Engineering team.
You’ll be joining over +350 engineers across software development, infrastructure, operations and security. Fueled by curiosity, experimentation and collaboration, you’ll help deliver scalable, impactful solutions that shape the future of insurance.
The team mission is to exploit the power of machine learning to revolutionize the insurance claims process. To help fuel that growth, we need a Software Engineer to join our Claims Machine Learning team.
Leverage Machine Learning and advanced data analytics to identify risks and opportunities in our claims management platform.
Analyze and interpret complex data to support the claims management lifecycle.




Collaborate with cross-functional teams to transform data into intelligence and intelligence into action
Software Engineer First: You’re a strong software engineer at heart: you write clean, maintainable, and production-ready code. While you’re comfortable handling data, generating insights, and training machine learning models, you approach these tasks with a software engineering mindset, prioritizing scalability, reliability, and performance.
At Prima, you’ll tackle diverse and stimulating challenges that will put your skills to the test
Strong Python background with hands-on experience in Pandas, Numpy, PyTorch or Tensorflow, Hugging Face and GenAI.
Proficient with RDBMS ( Postgres )
Broad ML Knowledge: You have a solid grasp of various machine learning paradigms: from classical models to cutting-edge approaches like deep learning, computer vision, and generative AI. Have international experience and are fluency in

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