Software Engineer (AI & Machine Learning)

Lead Software Engineer (ML Infrastructure, Computer Vision, Nvidia Ecosystem)

Location: Remote, 3 days a week

Employment Type: Contract

Overview

We are seeking an exceptional Lead Software Engineer with deep expertise in machine learning infrastructure, computer vision engineering, cloud-native architecture, and the Nvidia Enterprise ecosystem. This role is ideal for a senior technologist who can lead teams, architect high-performance AI systems, and deliver enterprise-grade platforms across both edge and cloud environments.

Core Skills & Experience

• 5+ years software engineering experience with strong Python skills.
• Proven delivery of enterprise-scale ML/CV platforms.
• Expertise with Nvidia Enterprise, including Metropolis, DeepStream, A100, and Jetson.
• Strong background in computer vision, edge-AI, industrial cameras, and Real Time processing.
• Deep experience with Kubernetes, Docker, DevOps, and cloud architecture (AWS/Azure).
• Strong understanding of MLOps & AI infrastructure best practices.
• Experience with digital twins or virtualised industrial environments.

Desirable

• Experience with C#, WPF, or Embedded firmware development.
• Knowledge of industrial automation systems, PLCs, motion controllers, and robotics.
• Familiarity with PKI, cryptography, and cloud security.
• Experience building high-throughput data pipelines and observability platforms