Machine Learning Engineer

AI-Adam ,
London, Greater London
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Job Description

Company Description AI-Adam provides talent acquisition and advice in the procurement of rare talent to the world's most challenging industry sectors in Artificial Intelligence, Robotics, Data Science, Big Data, Analytics, Machine Learning & Deep Learning. Job Description Machine Learning Engineer wanted to join a leading AI client in London. They are focused on making it easy for machine learning models to be deployed and managed at scale in production. As a Machine Learning Engineer you will design and build scalable ML solutions on top of the open source and enterprise products and deliver end-to-end technical expertise throughout the lifecycle of enterprise client-facing projects Qualifications Required skills: * A degree or higher level academic background in a scientific or engineering subject. * Strong computer science and system architecture foundations. * Familiarity with linux based development. * Experience architecting/applying technology to solve real world challenges. * Experience delivering production-level client-facing projects. Desired skills: * Experience with Kubernetes and the ecosystem of Cloud Native tools. * Experience using machine learning tools in production. Qualifications: Required skills: A degree or higher level academic background in a scientific or engineering subject. Strong computer science and system architecture foundations. Familiarity with linux based development. Experience architecting/applying technology to solve real world challenges. Experience delivering production-level client-facing projects. Desired skills: Experience with Kubernetes and the ecosystem of Cloud Native tools. Experience using machine learning tools in production. Responsibilities: Machine Learning Engineer wanted to join a leading AI client in London. They are focused on making it easy for machine learning models to be deployed and managed at scale in production. As a Machine Learning Engineer you will design and build scalable ML solutions on top of the open source and enterprise products and deliver end-to-end technical expertise throughout the lifecycle of enterprise client-facing projects

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