Remote Senior Machine Learning Engineer

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Mind Foundry

πŸ“Remote - United Kingdom

Job highlights

Summary

Join our growing Defence and Security team as a Senior Machine Learning Engineer, where you'll create AI/ML solutions, collaborate with colleagues, and contribute to the delivery of professional-level software prototypes. You'll work on client sites or remotely from Oxford, London, or Reading.

Requirements

  • A Masters degree in a scientific discipline such as Mathematics, Computer Science, Physics, or similar
  • Extensive experience in writing and maintaining code in a commercial environment
  • Be an experienced software engineer, fluent in Python , ideally in a scientific or industrial context
  • Experience of working with ML or statistical methods
  • Be a champion of scientific integrity practices in terms of experimental rigour and validation
  • Be able to work with state-of-the-art ML libraries to deliver powerful results quickly
  • Be eager to learn and have a collaborative approach
  • Be comfortable working with customers to develop, discover and deliver services and products to meet their requirements

Responsibilities

  • Work collaboratively with colleagues across the team (Product Managers, Machine Learning Scientists, Machine Learning Software Engineers and our Engineering teams)
  • Maintain and develop a good working knowledge of state-of-the-art ML methods, software tools and implementation methods
  • Work closely with platform-engineers to provide ideas and advice on ML techniques you are familiar with
  • Evaluate scientific concepts for viability of implementation
  • Write maintainable production-code and promote best practices for code quality in a scientific codebase
  • Attend client meetings as required
  • Where appropriate, you may deliver training to the customer on core ML concepts and Mind Foundry products and solutions

Preferred Qualifications

  • Experience handling large datasets, suitable software techniques and hardware requirements
  • Experience deploying ML into a production environment
  • Familiarity with the wider ML ecosystem (beyond the tools you've applied previously)
  • Ability to communicate complex ideas at varying levels of depth according to the audience
  • Experience with Git, or other version control systems
  • Experience with Linux
  • Ability to write and contribute to technical material (documentation, published papers, internal technical notes etc)
  • Experience working in the Defence and National Security space

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