Technical Lead - AI/ML & Computer Vision

Neweasy
London, UK
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
£156,000.0 - £169,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Artificial Neural Networks Computer Vision Continuous Integration Distributed Computing Environment Python (Programming Language) Machine Learning Object Detection Pytorch Delivery Pipeline Deep Learning SC Clearance
+3 more
Kubernetes Machine Learning Operations Docker

Job description

We are seeking an experienced AI/ML Technical Lead to lead the engineering delivery of an advanced computer vision and machine learning platform for a high-profile UK defence technology programme.

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., * Provide 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.

Requirements

  • Active SC clearance - client can sponsor DV
  • 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.

Desirable Experience

  • 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.

Skills

  • Defence
  • ML
  • SC Cleared
  • AI
  • MLOps
  • Computer Vision

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