Machine Learning Engineer Jobs in Henderson, NV (1,381)
Computer Scientist III
Computer Scientist II
2026 Computer Scientist Opportunities in Las Vegas, NV
Lead Machine Learning Engineer - REMOTE
Staff Machine Learning Engineer
Junior Machine learning/AI engineer/Software Developer
Machine Learning Engineer
Machine Learning Systems Engineer
Senior Machine Learning Engineer
Machine Learning Engineer Technical Fellow
Data Scientist
Sr Data Scientist
junior data scientist/Data Analyst / java devops developer
Junior Data Scientist
Entry Level Data Scientist/Analyst/Java full stack developer
Senior Data Scientist or Machine learning Consultant
Scientific Programmer/Data Scientist I
Junior Machine Learning Engineer
Staff Machine Learning Engineer
Machine Learning Ops Engineer
Junior Machine Learning Engineer-remote/Junior Sofware Engineer (Remote)
Junior Java Developer Remote-Entry level Machine learning AI engineer
Data Scientist II
Entry Level C++ Developer
Software Engineer, Machine Learning
Lead Artificial Intelligence Engineer
Entry Level Data Analyst/Scientist
Software Engineer, Senior
Remote Machine Learning Engineer II
Remote Staff Software Engineer, Machine Learning (Computer Vision), Remote
Remote Data Scientist
Remote Staff Software Engineer, ML Acceleration
Image and Signal Processing Data Senior Scientist
Machine Learning Engineer Salary in Henderson
Machine Learning Engineers working in Henderson, NV make an average annual salary of $127K and a maximum annual salary of around $180K.
Job Description
Working as a Machine Learning Engineer in Henderson, NV
There are 1,381 Machine Learning Engineer opportunities available in Henderson, NV all with unique requirements.
Machine Learning Engineers use automation and algorithms to optimize operations, maximize the efficiency of business processes. Responsibilities include designing, developing, and implementing systems using machine learning models such as neural networks, Bayesian networks, decision trees, support vector machines, and Hidden Markov Models. They use their programming skills to introduce logic into decision-making processes. These systems are used to improve manufacturing output; product development processes; logistical processes; communications; fraud detection; loan underwriting; credit risk prediction; medical diagnosis and treatment selection; security screening of subjects such as prisoners or immigrants seeking access to sensitive areas such as airports or courtrooms.
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