SR2
London · Posted 28 Oct 2026 · 4 applicants
Working with a specialist AI organisation, you'll play a key role in taking established, cutting-edge AI technology into full-scale operational deployment.
This is a hands-on technical leadership position, combining advanced machine learning engineering, architecture and delivery oversight.
Key ResponsibilitiesProvide technical leadership to a team of AI/ML and MLOps Engineers.
Lead the design, optimisation and deployment of advanced computer vision and deep learning systems.
Oversee scalable ML training, inference and deployment pipelines.
Guide technical architecture, engineering standards and best practices.
Work closely with stakeholders to integrate AI solutions into existing infrastructure.
Mentor engineers, resolve technical challenges and ensure successful delivery.
Extensive experience in Machine Learning, Deep Learning and Computer Vision.
Strong hands-on Python and PyTorch development skills.
Expertise in CNNs, Vision Transformers and neural network architectures.
Proven experience delivering production-grade AI/ML systems.
Previous technical leadership or principal engineering experience.
Strong understanding of MLOps, CI/CD, model deployment and scalable infrastructure.
Excellent stakeholder management and technical communication skills.
GPU optimisation, distributed training and inference acceleration.
Docker, Kubernetes, MLflow or Kubeflow.
Object detection, segmentation and large-scale imagery processing.
Edge AI and NVIDIA technologies.
Defence, aerospace or national security projects.