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Machine Learning Engineer

Prima
London, GBR
Full-time
Mid-Senior
Hybrid
£70,000 to £105,000 per year
Discovered 1 months ago
PythonMachine learning model lifecycleML model productionizationMicroservicesTest-driven developmentBehavior-driven development

Full Job Posting

Role Overview

Prima is seeking a Senior Machine Learning Engineer for its Engineering team to help scale its motor insurance platform.

The engineering organization includes software development, infrastructure, operations, and security teams.

What You Will Do

  • Define model-development methodologies and best practices throughout the model lifecycle, including technology stack choices.
  • Support productionization and evolution of ML-powered Oracles that guide Prima microservice behavior.
  • Develop packages, microservices, pipelines, and other tools needed by the engineer and team.
  • Stay current with emerging technology through learning, reading, and experimentation.

What We Are Looking For

  • Bring a robust programming background with strong Python capability.
  • Have experience across the ML model development lifecycle, including taking models into production.
  • Use TDD and BDD practices to produce high-quality, readable, maintainable code.
  • Have software architecture experience and understanding of common design patterns.
  • Demonstrate expertise in machine learning, microservices, and domain-driven design.
  • Have exceptional command of English.

Nice to Have

  • Experience with version control for data and artifacts, such as Delta Lake, DVC, or MLflow, is desirable.
  • Cloud system design and operations experience, preferably with AWS or Databricks, is desirable.
  • Familiarity with messaging platforms, infrastructure as code, Kubernetes, service mesh concepts, and data orchestration tools is desirable.

Compensation

  • Salary range is £70,000 to £105,000 per year.

Work Your Way

  • Work from home, the office, or a mix of both.
  • Work from anywhere for up to 30 days per year.

Benefits

  • Learning resources, mentorship, and a tailored growth plan.
  • Private healthcare, gym discounts, wellbeing programs, and mental health support.

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