Defence ML Engineer — Build Product-Ready AI Prototypes

Robotics Jobs UK

Cambridge

On-site

GBP 60,000 - 81,000

Full time

14 days+
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Benefits offered by this job

Private medical insurance
Generous pension scheme
Access to local clubs and sports

Job summary

Robotics Jobs UK in Cambridge is seeking engineers and scientists to develop machine learning systems for defence and security applications. You will work across the ML lifecycle from concept and architecture decisions through data collection and training to product integration and evaluation, with models integrated into in-house electronics for functional prototypes and demonstrators.

The role welcomes candidates from PhD to industry veterans, requiring onsite full-time work in Cambridge and

Qualifications

  • Top STEM degree required; PhD or relevant commercial experience preferred.
  • Strong knowledge of Python for ML with hands-on experience using TensorFlow and PyTorch.
  • Broad ML techniques knowledge across domains and ability to switch into new domains quickly.
  • UK nationality required for passing security checks.

Responsibilities

  • Develop ML systems across the lifecycle from concept to product integration and testing.
  • Prototype and deploy ML models on embedded hardware up to cloud, coordinating with electronics teams.
  • Work in a low-management environment with opportunities for growth and collaboration.

Skills

Python for ML
ML techniques across domains

Education

STEM degree
PhD or relevant commercial experience

Tools

TensorFlow
PyTorch
CUDA/ROCm

Job description

Robotics Jobs UK in Cambridge is seeking engineers and scientists to develop machine learning systems for defence and security applications. You will work across the ML lifecycle from concept and architecture decisions through data collection and training to product integration and evaluation, with models integrated into in-house electronics for functional prototypes and demonstrators.

The role welcomes candidates from PhD to industry veterans, requiring onsite full-time work in Cambridge and

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