Senior Machine Learning Engineer – Remote

A senior machine learning engineer applies their expertise to design, deploy, and maintain distributed ML systems using platforms like Sagemaker, ensuring the scalability and reliability of the models in a production environment. Their responsibilities include developing innovative features for revenue optimisation, establishing robust ML practices, and collaborating with cross-functional teams to improve product offerings. They demonstrate proficiency in Python, SQL, and cloud services, adhering to software development best practices including version control and containerisation. The role requires extensive experience in deploying ML models at scale, defining technical strategies, and ensuring high-quality outputs through effective testing and monitoring. Strong problem-solving skills, leadership abilities, and a deep understanding of statistical and machine learning principles are essential for success. The ideal candidate holds over five years of relevant experience, with advanced knowledge of MLOps, CI/CD pipelines, and cloud environments.