Senior Machine Learning Data Scientist Salary Range: 90k 100k Are you passionate about leveraging cutting-edge technology to restore ecosystems and combat climate change? Our client is at the forefront of this mission, providing innovative tools and solutions to restore natural habitats globally. As a Senior ML Data Scientist, you will play a pivotal role in analysing various data types to assess land conditions, promote biodiversity, and determine the potential for carbon sequestration. Our client, a leading force in ecosystem restoration, is dedicated to promoting biodiversity and restoring natural habitats for the benefit of all. Through advanced AI/ML technology, including remote sensing satellite data and drone survey data, they empower landowners, businesses, governments, and communities to take informed actions for a sustainable future. Key Responsibilities: Develop practical deep learning applications for computer vision. Curate machine learning training datasets. Drive innovation by staying updated on the latest research and methodologies. Collaborate with ecologists to customize methodologies for optimal outcomes. Lead and guide a team of highly skilled professionals. Requirements : Proficiency in Python, including libraries such as numpy, pandas, and scikit-learn Experience with deep learning frameworks (PyTorch, JAX, Keras, Tensorflow) Strong theoretical understanding of machine learning and neural networks Experience with containerized processes (Docker, Kubernetes) Familiarity with cloud services and distributed computing frameworks (AWS, PySpark, Ray Distributed) Problem-solving aptitude and creative thinking skills Benefits : Work From Home flexibility Employee Assistance Programme Stock Option Plan Competitive salary package 25 days per year annual leave Financial support for healthcare needs, including optical, dental, and therapy treatments