Edge ML Systems Engineer: Data Pipelines & CV

Minerva; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Share options vesting over three years

Bupa private medical insurance

6% employer pension contribution

25 days leave plus bank holidays

Enhanced mat/pat leave

Enterprise level AI tooling

Relocation support/home office budget

Job summary

Minerva Defence is seeking an ML systems engineer to build and enhance the infrastructure for ML models deployed across a fleet of vehicles. You’ll work on data collection, synthetic data generation, annotation, training, and edge deployment within a UK-based, defence-oriented environment.

We value candidates who can tackle full-stack ML challenges, extend pipelines across data collection to inference optimization, and are willing to expand into new areas to deliver results for unmanned systems

Qualifications

• Experience with ML pipelines from datasets through evaluation and deployment.
• Experience with Python.
• Solid grounding in backend development.
• Experience handling large datasets (computer vision or otherwise).

Responsibilities

• Build out the infrastructure required to improve the performance of our machine learning models, including dataset curation/labelling, training, evaluation and deployment.
• Ensure model performance is constantly improving, whether that involves building the pipelines to collect operational data, supervising annotation/labelling, generating synthetic data, training models or optimising inference.

Skills

ML Ops

Python

Backend development

Large datasets

Job description

Minerva Defence is seeking an ML systems engineer to build and enhance the infrastructure for ML models deployed across a fleet of vehicles. You’ll work on data collection, synthetic data generation, annotation, training, and edge deployment within a UK-based, defence-oriented environment.

We value candidates who can tackle full-stack ML challenges, extend pipelines across data collection to inference optimization, and are willing to expand into new areas to deliver results for unmanned systems