Team Leader - Computer Vision

Description

The role leads research, development, deployment and improvement of advanced computer‑vision, perception AI and spatial‑intelligence capabilities for the electrical distribution network. Working with high‑dimensional multi‑modal data—including imagery, video, spatial datasets and selective LiDAR—the team delivers core perception technologies that enable digital and hardware initiatives while establishing robust MLOps practices for scalable model lifecycle management.

• Lead, coach and develop a specialised team of computer‑vision, perception AI and spatial AI engineers.
• Create and maintain a Perception & Spatial AI Capability Roadmap aligned with organisational priorities.
• Own the full lifecycle of vision and perception models, from data management to continuous improvement.
• Implement scalable MLOps pipelines for data ingestion, model versioning, CI/CD, retraining and monitoring.
• Design and develop advanced computer‑vision and perception AI models for detection, segmentation, anomaly identification, change detection and scene understanding.
• Build scalable perception algorithms using imagery, video, 3D spatial data and multi‑sensor inputs to support operational decision‑making.
• Collaborate with the Generative AI team to integrate perception outputs with LLMs, agents or decision systems.
• Apply generative‑AI techniques such as synthetic data, diffusion models or multi‑modal fusion to boost perception model performance.

Requirements

• Possess 7+ years of AI/ML experience with strong computer‑vision or perception expertise.
• Demonstrate deep expertise in computer‑vision and perception AI.
• Have prior leadership experience of AI/ML teams (preferred).
• Experience in utilities, energy, infrastructure, robotics or other asset‑intensive industries is advantageous.
• Proficient in Python, PyTorch/TensorFlow and GPU‑accelerated computing.
• Knowledge of imagery, video, spatial modelling and selective LiDAR use cases.
• Hold a tertiary qualification in computer science, ML/AI, engineering, robotics or a related field.

Benefits

We provide an inclusive, supportive workplace with hybrid work options, purchased leave, 15 weeks of gender‑neutral primary parental leave, health and wellbeing programmes, career development opportunities and exclusive employee discounts.

Training + Development

Interview process

Visa Sponsorship

Security clearance