Machine Learning Engineer Jobs in Tulsa, OK (749)
Chief Project Engineer
Entry Level AI & Machine Learning Engineer (Remote)
Lead Machine Learning Engineer - REMOTE
Staff Machine Learning Engineer
Principal AI Architect - Technology, Media & Telecommunications (TMT) - Senior Manager - Consulting
NGA AI Engineer Manager
US Tech - AI Engineering Senior Associate
Data Scientist
Business Data Scientist
Business Data Scientist I Tulsa, OK hold
Data Scientist
Physical AI Engineering Consultant - Senior - Consulting - Open Location
Junior Java Developer
CTIO AI Engineering Manager
Scientific Programmer IV
Backend Developer(Entry Level)
Context Engineer - Manager - Consulting - Location OPEN
Software Design Engineer
Machine Learning Engineer (AWS)
entry level software developer with aws /Entry level data scientist
Entry/Junior Level Data Scientist/Python Programmer
Data Scientist /data analyst entry level /AI /software programmer(Remote)
Junior AngularJS Developer
Entry-Level JavaScript Developer
NGA AI Engineer Senior Manager
Software Engineer, Machine Learning
Remote Software Engineer (Entry)
Junior Data analyst/ Data Scientist /Java programmer
Entry/ Junior Level Software Engineer
Java Web Developer(Remote)
Software Engineer III
Software Engineer, Backend
AI Systems Engineer
Machine Learning Engineer Salary in Tulsa
Machine Learning Engineers working in Tulsa, OK make an average annual salary of $139K and a maximum annual salary of around $190K.
Job Description
Working as a Machine Learning Engineer in Tulsa, OK
There are 749 Machine Learning Engineer opportunities available in Tulsa, OK 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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Machine Learning Engineer jobs near Tulsa, OK
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