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

TPBN1_UKTJ