Machine Learning Engineer - Computer Vision

Overview

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 month initial contract (with guaranteed extensions). You will play a key role in designing, building, and deploying machine learning models that drive innovation in image and video processing.

Responsibilities

• 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.
• Deploy ML models into production, ensuring scalability, efficiency, and reliability.
• Collaborate closely with data scientists, software engineers, and product teams to translate business needs into technical solutions.
• Stay up to date with the latest advancements in deep learning, computer vision, and related technologies.

Key Skills & Experience

• Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow).
• Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn).
• Proven track record of building and deploying ML models in production environments.
• Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar).
• Experience working with cloud platforms (AWS, Azure, or GCP).
• Solid understanding of CNNs, object detection, segmentation, and image classification.
• Strong problem-solving skills and ability to work in a hybrid, collaborative environment.

Nice to Have

• Experience with transformer-based vision models (ViT, CLIP, SAM).
• Familiarity with real-time inference and optimisation (ONNX, TensorRT).
• Previous work on video analytics, 3D vision, or multi-modal ML projects.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Consulting

Industries

• Staffing and Recruiting

• Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow).
• Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn).
• Proven track record of building and deploying ML models in production environments.
• Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar).
• Experience working with cloud platforms (AWS, Azure, or GCP).
• Solid understanding of CNNs, object detection, segmentation, and image classification.
• Strong problem-solving skills and ability to work in a hybrid, collaborative environment., * Experience with transformer-based vision models (ViT, CLIP, SAM).
• Familiarity with real-time inference and optimisation (ONNX, TensorRT).
• Previous work on video analytics, 3D vision, or multi-modal ML projects.

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 month initial contract (with guaranteed extensions). You will play a key role in designing, building, and deploying machine learning models that drive innovation in image and video processing.