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Software / Machine Learning Engineer

Pubblicato il 14-10-2026 - Helloprima in Milano

Software / Machine Learning Engineer## Overview## Job descriptionAre you looking for a new challenge?Fancy helping us shape the future of motor insurance?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.

Scopra se questa occasione è adatta a lei leggendo tutte le informazioni riportate di seguito.

Our story began in Italy, where we’ve quickly become the number one online motor insurance provider.

In fact, we’re trusted by over 5 million drivers.

And now we’re expanding to help millions more drivers in the UK and Spain.To help fuel that growth, we need a
Software Engineer- Machine Learning
to join our
Engineering
team.This team is the beating heart of Prima.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.




Excited to make an impact? Here are the details
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.What you’ll do:- 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.- Contribute directly to the company’s growth and long-term success through actionable insights.- Collaborate with cross-functional teams to transform data into intelligence and intelligence into actionWhat we’re looking for:- 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

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