Junior AI/ML Engineer - Computer Vision - SC Cleared
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Added before 1 Days
  • England,London,City of London
  • Full Time, Contract
  • £350 - £450 per day
Job Description:
Full job descriptionJunior 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.
Job number 4271435
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