At a Glance
- Tasks: Design and deploy cutting-edge machine learning models for image and video processing.
- Company: Join a top-tier client known for innovation and excellence.
- Benefits: Competitive pay, flexible working arrangements, and opportunities for contract extensions.
- Other info: Collaborative team environment with a focus on continuous learning and growth.
- Why this job: Be at the forefront of technology and make a real impact in the field of computer vision.
- Qualifications: Experience in machine learning and strong skills in computer vision required.
The predicted salary is between 63000 - 77000 £ per year.
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
Wanted: Machine Learning Engineer - Computer Vision employer: Explore Group
Explore Group is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about advancing mining technology. With a focus on employee growth, we offer opportunities for professional development and the chance to lead impactful projects in a dynamic environment. Located in a vibrant area, our team enjoys a supportive atmosphere that values creativity and mission-driven work.
