Junior AI/ML Engineer – Computer Vision – SC Cleared

On Site : 1
Contract Rate : 350
Contract Job : 1
Salary range high : 450
Salary range low : 350

Junior AI/ML Engineer – Computer Vision – SC Cleared

  • London
  • Contract
  • Consulting
  • GBP350 - 450 per day

Junior AI/ML Engineer – Computer Vision – SC Cleared

Junior AI/ML Engineer – Computer Vision & Deep Learning – SC Cleared

We are looking for a talented AI/ML Engineer to join a specialist engineering team delivering advanced computer vision and machine learning solutions for a major defence technology programme.

You’ll work alongside experienced AI researchers and senior engineers, contributing to the development, testing and deployment of sophisticated AI models in real-world environments.

This is an excellent opportunity for an engineer with a strong foundation in machine learning who wants to gain exposure to advanced AI technologies and large-scale production systems.

Key Responsibilities

  • Develop, test and optimise machine learning and computer vision models.
  • Support the development of deep learning solutions using Python and PyTorch.
  • Assist with model training, validation, evaluation and deployment.
  • Contribute to scalable ML pipelines and production-quality software.
  • Collaborate with senior engineers to integrate AI models into operational systems.
  • Support testing, debugging and continuous improvement of AI applications.

Essential Skills & Experience

  • Active SC clearance (client will sponsor DV)
  • Practical experience developing machine learning solutions using Python.
  • Experience with PyTorch or TensorFlow.
  • Understanding of deep learning, neural networks and computer vision.
  • Familiarity with CNNs, image processing or object detection.
  • Strong software engineering fundamentals, including Git and testing.
  • Good problem-solving skills and willingness to learn from experienced engineers.

Desirable Experience

  • Commercial experience working on AI/ML projects.
  • Vision Transformers, image segmentation or model optimisation.
  • Docker, CI/CD or cloud-based ML environments.
  • Exposure to MLOps, NVIDIA GPUs or edge AI.
  • Experience in defence, aerospace or security-related technology.

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