About the Company:
Our client, a pioneer in environmental technology, is on a mission to eliminate fog disruptions that cost billions annually across aviation, shipping, and other industries. Their innovative approach combines advanced machine learning and environmental science, contributing to a sustainable future by reducing carbon emissions and enhancing operational safety.

About the Role:
As a Senior Machine Learning Engineer, you’ll lead the development of a sophisticated fog prediction system. This involves designing advanced machine learning and computer vision models using diverse environmental data. Your work will directly impact industries by enhancing their ability to predict and respond to fog conditions in real-time.

Skills & Experience:

• Several years of hands-on experience in data science and machine learning.
• Proficiency in deep learning frameworks such as TensorFlow or PyTorch.
• Expertise in computer vision, image processing, and working with large datasets.
• Strong Python programming skills and experience deploying models to production.
• Familiarity with cloud platforms and technical leadership in project settings.
• Excellent analytical and problem-solving capabilities.
• Experience with meteorological data or time-series modeling is a plus.

Why Work Here?:

• Collaborate with a visionary team committed to innovation and sustainability.
• Tackle real-world problems with high societal and environmental impact.
• Enjoy flexibility with remote working options.
• Be at the forefront of AI and environmental science integration.

Take the lead in transforming how industries predict and adapt to environmental challenges. Apply today with your CV and cover letter, or email sam@talent.army