Machine Learning Engineer
Job description
This Machine Learning Engineer opportunity is built around collaborate closely with data scientists, software engineers, and product teams to translate business needs into technical solutions. It would suit someone who can bring strong professional approach to the role.
Why this role may suit you
Previous work on video analytics, 3D vision, or multi-modal ML projects. Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn).
What you would be doing
Collaborate closely with data scientists, software engineers, and product teams to translate business needs into technical solutions. Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation.
The working style that fits
Strong professional approach.
What you need
- Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow).
- Experience with transformer-based vision models (ViT, CLIP, SAM).
- Experience working with cloud platforms (AWS, Azure, or GCP).
Practical information
- Strong problem-solving skills and ability to work in a hybrid, collaborative environment.
- The Explore Group are working with one of our tier 1 clients in securing an experienced Machine Learning Engineer with strong expertise in Computer Vision to join our team on a 6 m.
- Work model: Hybrid.
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