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Machine Learning Engineers are very hands-on with software architecture and design and they understand A/B testing well enough to conduct tests on production systems. Machine Learning Engineers have a solid grasp of logging and security and how to organize the log data into useful information for data engineers. The end user that disseminates the data collected by a Machine Learning Engineer is another machine. A Machine Learning Engineer should have skills and knowledge in computer science fundamentals including programming, understand probability and statistics, understand data modeling and evaluation, have confidence in applying machine learning algorithms and libraries. A Machine Learning Engineer’s typical output is software that is usually a small component that fits into a larger system. That means the Machine Learning Engineer needs to be able to understand how each piece works and how to communicate with them.
London is the capital city of England with over 8 million residents. It is also one of the most important international finance locations that rivals only with New York City. Over half of the UK’s top 100 listed companies and more than 100 of Europe’s 500 largest companies have headquarters in London. An astonishing 75 percent of Fortune 500 companies have offices in London. Neighborhoods like Camden Town just north of central London embrace the gritty alternative scenes often found in bigger cities. However, if you want to get away from the hustle of the city, neighborhoods like Hampstead are for you. Surrounded by open parkland and filled with small cafes and shops it is easy to forget how close to the city you are.
Showcase your skill set, passions and career aspirations on your personalized Hired profile.
Respond to interview requests from employers for opportunities that match your goals and salary requirements.
Accept the opportunity that's right for you and start your next chapter!