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Software / Machine Learning Engineer

2 weeks, 6 days ago
United Kingdom
Full-time
Mid Level
Machine Learning Engineer
Software Development
AWS Computer Vision Deep Learning Elixir Generative AI Hugging Face Machine Learning NumPy Pandas PostgreSQL Python PyTorch Rust TensorFlow
Apply Now
Prima

Prima

Prima is a pioneering insurance company at the forefront of revolutionizing the industry through innovation, technology, and data-driven strategies. With a focus on providing exceptional customer experiences and competitive pricing, Prima has successfu...

Insurance
501-1000
Founded 2014
$116M raised
View All Jobs 44

Description

  • Apply machine learning and advanced analytics to identify risks and opportunities in the claims management platform.
  • Analyze and interpret complex data throughout the claims management lifecycle.
  • Develop actionable insights that support the company’s growth and long-term success.
  • Collaborate with cross-functional teams to turn data into operational intelligence and action.
  • Build clean, maintainable, production-ready machine-learning software with a focus on scalability, reliability, and performance.

Requirements

  • Strong software engineering skills, including writing clean, maintainable, production-ready code.
  • Strong quantitative, logical, and analytical skills.
  • Strong Python experience, including Pandas, NumPy, PyTorch or TensorFlow, Hugging Face, and generative AI.
  • Proficiency with relational databases, particularly PostgreSQL.
  • Broad knowledge of machine-learning paradigms, including classical models, deep learning, computer vision, and generative AI.
  • Ability to select and apply appropriate machine-learning techniques to real-world problems.
  • Experience creating, manipulating, and analyzing large datasets (preferred).
  • Experience developing applications with Elixir or Rust (preferred).
  • Experience in cloud-based environments, preferably AWS (preferred).
  • International experience and English fluency (preferred).

Benefits

  • Flexible work arrangement: work from home, the office, or a hybrid mix.
  • Work from anywhere for up to 30 days per year.
  • Learning resources, mentorship, and a tailored growth plan.
  • Private healthcare.
  • Gym discounts, wellbeing programs, and mental health support.

Interested in this position?

Apply directly on the company website

Apply Now

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