Machine Learning Data Engineer

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Description

BlueOptima has a truly unique collection of vast datasets relating to the changes that software developers make in source code when working in an enterprise software development environment. As a Machine Learning Data Engineer you will take problems and ideas from our clients and customer support teams, analyse what would be involved, whether the solution will solve the underlying problem, plan and develop solutions. Within time you should be able to provide your own pipeline of ideas or problems that we can tackle. As with many problems within the Data Engineering space, defining effective pipelines to gather, curate and manage the data is as important as selecting the best approach using ML techniques. You will take responsibility for the end to end process, this means that you will own the initial exploration of the data, the development of a solution, design the requirements for ongoing monitoring of the solution once it is released and tackle any issues that arise from the solution. Solution ownership is a fundamental part of the role and it is expected that you would not only take this for the solutions you develop but encourage others to own and take responsibility for the solutions they are involved in. You will use tools ranging from advanced Machine Learning algorithms to Statistical approaches and will be able to select the best tool for the job. This means both being able to suggest the cutting edge approaches to problems and just as importantly identifying when a

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