Defence ML Engineer — Embedded Systems & Prototyping

ECM Selection (Holdings) Limited; Cambridgeshire and Peterborough; On-site; GBP 42,000 - 70,000; Full time

Benefits offered by this job

Private medical insurance

Generous pension scheme

Access to local social and sports club

Job summary

ECM Selection (Holdings) Limited in Cambridgeis seeking an experienced ML engineer to join an innovative team building machine learning systems for defence applications. You will work across the full development lifecycle, from concepts and data collection to training, integration, testing and evaluation.

You will apply Python and ML frameworks such as TensorFlow and PyTorch across diverse domains, delivering prototypes and demonstrator units onsite.

Qualifications

• Strong knowledge of Python and its use in machine learning including hands‑on experience building products with modern ML frameworks such as TensorFlow and PyTorch.
• Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly.
• A top degree in a STEM subject. Additionally, a PhD or relevant commercial experience.
• UK nationality for passing security checks.

Responsibilities

• Contribute across the full ML development lifecycle from concept to data collection, training, integration, testing and evaluation.
• Develop prototypes and demonstrator units, deploying ML models on in‑house hardware and cloud resources as needed.
• Collaborate across teams to apply ML to defence and security domains and deliver practical solutions.

Skills

Python

Machine learning

Cross‑domain ML

Education

STEM degree

PhD or industry experience

Tools

TensorFlow

PyTorch

Job description

ECM Selection (Holdings) Limited in Cambridgeis seeking an experienced ML engineer to join an innovative team building machine learning systems for defence applications. You will work across the full development lifecycle, from concepts and data collection to training, integration, testing and evaluation.

You will apply Python and ML frameworks such as TensorFlow and PyTorch across diverse domains, delivering prototypes and demonstrator units onsite.