Edge ML Systems Engineer: Data Pipelines & CV Deployments

Minerva; Worcester (MA); On-site; USD 130,000 - 170,000; 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 operate the infrastructure that boosts the performance of machine learning models across deployed vehicles and platforms. You will drive end-to-end data handling, model training, evaluation and deployment in edge environments.

You should have hands-on ML pipelines experience, strong Python skills, and a solid backend development background, with a focus on handling large datasets and potential edge deployments.

Qualifications

• Experience with ML pipelines from dataset to evaluation and deployment (ML Ops).
• Proficient in Python programming.
• Solid grounding in backend development.
• Experience handling large datasets (vision or general).

Responsibilities

• Build infra to improve ML model performance: dataset curation/labeling, training, evaluation and deployment.
• Ensure model performance improves via data pipelines, annotation supervision, synthetic data, training and optimized inference.

Skills

ML Ops pipelines

Python

Backend development

Large datasets handling

Job description

Minerva Defence is seeking an ML Systems Engineer to build and operate the infrastructure that boosts the performance of machine learning models across deployed vehicles and platforms. You will drive end-to-end data handling, model training, evaluation and deployment in edge environments.

You should have hands-on ML pipelines experience, strong Python skills, and a solid backend development background, with a focus on handling large datasets and potential edge deployments.