1d ago

Machine Learning Engineer

Oxford, England

✨ $70k-$100k / yearest.

full-timemid Hybridcybersecurity

πŸ›  Tech Stack

πŸ’Ό About This Role

You'll develop production-ready ML solutions for critical Defence and National Security challenges, working from concept to live operation. You'll collaborate with experts across disciplines to build robust AI/ML systems deployed at the edge.

🎯 What You'll Do

  • Design and build prototypes and production-ready ML solutions.
  • Collaborate with product managers, scientists, and engineers on defence challenges.
  • Maintain knowledge of state-of-the-art ML methods and tools.
  • Write maintainable production code and promote best practices.

πŸ“‹ Requirements

  • Degree in STEM field or equivalent practical experience.
  • Proficiency in Python with clean, reproducible code.
  • Hands-on experience with Docker, Linux, CI/CD, MLOps, and cloud platforms.
  • Ability to work with state-of-the-art ML libraries.

✨ Nice to Have

  • Experience with government customers or defence contractors.
  • Ability to write technical documentation or papers.
  • Experience with Spark, Kafka, Flask/FastAPI, or Streamlit.

🎁 Benefits & Perks

  • πŸ–οΈ Hybrid working with flexible hours.
  • πŸ“š Professional and personal development support.
  • πŸ₯ Private Healthcare including dental and optical cover.
  • πŸ’° Salary Sacrifice Pension scheme.
  • 🐾 Pet-friendly office.

πŸ“¨ Hiring Process

Estimated timeline: 2-4 weeks

  1. 1Initial discussion with People teamΒ· 30 min
  2. 2TestDome coding exerciseΒ· 1 hour
  3. 31 hour interview with Science Engineering teamΒ· 1 hour
  4. 490 min technical interview with presentation and live codingΒ· 90 min
  5. 5In-person meet the teamΒ· 1 hour

[email protected]

🚩 Heads Up

  • Requires UK security clearance (SC) which may delay start date.

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