Machine Learning Engineers
Artificial intelligence continues to take the tech world by storm, creating self-running software that is solving everyday problems from the office to home. Machine Learning Engineers help organizations develop this game-changing technology by designing machine learning systems. It involves a strong understanding of how to apply algorithms and generate the most accurate predictions. ML Engineers can help organizations disrupt their industry by creating new, innovative forms of AI.
Requiring advanced proficiency in Python, Java, and R code writing, the ML Engineer should be ready to take on the full development lifecycle of machine learning. It requires solid data science knowledge, test running, statistical analysis, and test result interpretation. With careful planning and execution, the ML Engineer can level up AI software and continue to support teams in building the next great product in machine learning.
Finding a qualified ML Engineer isn’t easy. Bamboo Crowd has over 10 years of experience hiring ML Engineers for corporates, consultancies, startups, new ventures, accelerators, and incubators. Our network of talent ranges from Machine Learning Engineers right the way through to Head of Artificial Intelligence.
Machine Learning Engineer, Software Developer, Data Scientist, Applied Scientist, Artificial Intelligence Engineer, MLOps Engineer, ML Platform Engineer, ML DevOps Engineer, Head of Artificial Intelligence, Head of Data Science, Lead Data Scientist, Senior Machine Learning Engineer