Machine learning Engineer – Reading

A Machine Learning Engineer at Faculty is responsible for building and deploying production-grade machine learning software, tools, and infrastructure. They create scalable solutions that facilitate rapid delivery of ML systems, collaborating with engineers, data scientists, and commercial teams to meet critical client needs. The role involves making technical decisions on architecture and ensuring scalability and security in cloud environments such as AWS, Azure, or GCP. They act as technical advisors, translating complex ML concepts for stakeholders and defining standards for deployment at scale. The ideal candidate possesses strong Python skills, experience with frameworks like TensorFlow or PyTorch, and familiarity with container tools such as Docker and Kubernetes. They should be comfortable guiding teams and stakeholders, thriving in fast-paced environments with a high degree of autonomy.