P
AI Summary
Join Prima's Engineering Team to shape the future of motor insurance. Develop machine learning models, tools, and methodologies. Collaborate with over 200 engineers across software development, infrastructure, operations, and security.
Key Highlights
Define model development methodologies and best practices
Support productionalization and evolution of machine learning models
Develop tools and pipelines for machine learning and software development
Stay up-to-date with emerging technology and trends
Technical Skills Required
Benefits & Perks
Flexible work arrangements (remote, office, or hybrid)
Up to 30 days of work-from-anywhere per year
Private healthcare
Gym discounts
Wellbeing programs
Mental health support
Job Description
Are 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. Our story began in Italy, where we’ve quickly become the number one online motor insurance provider. In fact, we’re trusted by over 4 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 Senior Machine Learning Engineering to join our Engineering Team.
This team is the beating heart of Prima.
You’ll be joining over 200 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
What You Will Do
- Defining the model development methodologies and best practices, following the whole life cycle with a central role in choosing the technological stack;
- Supporting the productionalization and evolution of the Oracles, entities that through machine learning pilot the behavior of Prima's microservices;
- Developing the tools (packages, microservices, pipelines...) that you deem fundamental for your and your team job;
- Growing, reading, and experimenting to always be up to speed with emerging technology.
- A robust programming background, spotlighting your prowess in Python;
- A familiarity with the lifecycle of ML model development, including past experience in taking them to production;
- Proficiency in software development practices like TDD and BDD, ensuring our code is marked by quality, readability, and maintainability;
- A wealth of experience in software architecture, encompassing an understanding of common design patterns. Your focus on Machine Learning, Microservices, and DDD sets you apart;Exceptional command of the English language.
- Alongside the essential prerequisites, we're excited to find experience in version control of data and artefacts (like DeltaLake, DVC, or MLFlow), designing and operating cloud-based systems, preferably within AWS or Databricks, familiarity with messaging platforms and proficiency in infrastructure as code (e.g. Terraform, CloudFormation, Pulumi), a grasp of K8s and service mesh concepts, and previous exposure to data orchestration tools.
We want to make Prima a happy and empowering place to work. So if you decide to join us, you can expect plenty of perks.
🤸 Work Your Way: Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year.
🏁 Grow with us: We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you.
🌈 Thrive and perform: Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.
Think you’re a match? Apply now.
At Prima, we celebrate uniqueness. If you don’t meet every requirement but are passionate about this role, we still want to hear from you. Innovation thrives on diverse perspectives.
Prima is proud to be an equal opportunity employer. Need accommodations during the process? Email us at [email protected]. Let’s build the future of insurance, together.
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