Senior Computer Vision Engineer

We're looking for a Computer Vision Engineer focused on bringing advanced vision models into production. You'll own the full lifecycle of CV systems — from model integration and orchestration to deployment on cloud and edge environments.

What you'll do

• Develop and deploy computer vision models for real-world video and sensor applications
• Build reliable training, evaluation and inference pipelines for large-scale data
• Operate and optimise GPU clusters, Docker/Kubernetes environments and cloud workloads
• Implement CI/CD, versioning and orchestration for ML pipelines
• Collaborate with research engineers to transition prototypes into scalable, production-grade systems
• Work with robotics and platform teams to ensure robust deployment at the edge

What you'll need

• 5–7 years experience in computer vision, ML engineering or production AI systems
• Strong in Python, PyTorch and modern CV architectures (e.g. temporal transformers, detection, tracking)
• Experienced with containerisation and orchestration (Docker, Kubernetes, MLFlow, Airflow, etc.)
• Familiar with distributed training, GPU management and inference optimisation
• Solid understanding of cloud infrastructure (AWS or similar) and MLOps tooling
• Pragmatic engineer — focused on reliability, reproducibility and maintainability

Nice to have

• Experience deploying CV models on edge devices or embedded systems
• Familiarity with TensorRT, quantisation, and real-time inference optimisation
• Background in video analytics, action recognition or multi-modal perception
• Understanding of model orchestration frameworks and large data pipelines

What they offer

• Employee Share Options Program for all permanent employees
• Urban Sports club and quarterly team retreats
• Flat hierarchy, open 360° feedback, and flexible working hours
• Diverse team (10+ nationalities) working on cutting-edge projects with real-world impact