1d ago
Machine Learning Engineer
Oxford, England
β¨ $70k-$100k / yearest.
full-timemid Hybridcybersecurity
π Tech Stack
πΌ 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.
π― 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.
π 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.
β¨ 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.
π Benefits & Perks
- ποΈ Hybrid working with flexible hours.
- π Professional and personal development support.
- π₯ Private Healthcare including dental and optical cover.
- π° Salary Sacrifice Pension scheme.
- πΎ Pet-friendly office.
π¨ Hiring Process
Estimated timeline: 2-4 weeks
- 1Initial discussion with People teamΒ· 30 min
- 2TestDome coding exerciseΒ· 1 hour
- 31 hour interview with Science Engineering teamΒ· 1 hour
- 490 min technical interview with presentation and live codingΒ· 90 min
- 5In-person meet the teamΒ· 1 hour
π© Heads Up
- Requires UK security clearance (SC) which may delay start date.
This description was AI-summarized. View original
0 0 0