SC Cleared Junior AI/ML Engineer: Computer Vision

SR2

City Of London

On-site

GBP 35,000 - 55,000

Full time

3 days ago
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Job summary

SR2 is seeking a Junior AI/ML Engineer to join a specialist team delivering computer vision and deep learning solutions for a major defence technology programme. You will collaborate with experienced researchers and engineers to develop, test and deploy AI models in real-world environments.

The role offers exposure to cutting-edge AI technologies, scalable ML pipelines, and production-grade software in a defence context.

Qualifications

  • Active SC clearance (client will sponsor DV).
  • Proficient in Python for ML solutions.
  • Experience with PyTorch or TensorFlow.
  • Understanding of deep learning, neural networks and computer vision.
  • Familiarity with CNNs, image processing or object detection.
  • Solid software engineering fundamentals including Git and testing.

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.

Skills

Python
PyTorch or TensorFlow
CNNs / Computer Vision
Image processing / object detection
Git and testing
Problem solving
Learning agility

Tools

Git
Testing
Docker
CI/CD
Cloud-based ML environments
NVIDIA GPUs

Job description

SR2 is seeking a Junior AI/ML Engineer to join a specialist team delivering computer vision and deep learning solutions for a major defence technology programme. You will collaborate with experienced researchers and engineers to develop, test and deploy AI models in real-world environments.

The role offers exposure to cutting-edge AI technologies, scalable ML pipelines, and production-grade software in a defence context.

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