Senior Machine Learning Engineer
Role Summary
Join Prima as a Senior Machine Learning Engineer in London and help shape the future of motor insurance with innovative data solutions.
About the Organisation
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 ----- Let’s build the future of insurance, together.
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Key Responsibilities
- 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.
Minimum Requirements
- 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.
Eligibility Criteria
The position is aimed at experienced professionals with a strong background in machine learning and software development. Eligibility for international applicants, but not specifically stated.
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