Machine Learning Engineer Jobs in Ottawa, ON (304)
Machine Learning Platform Engineer
Toronto Remote Machine Learning Engineer
Senior Software Engineer
Investment Director(AI) - YZi Labs
Data Engineer
Data Engineer - Connex Telecommunications Inc.
LEO Satellite Operations Engineering Specialist
LEO Flight Dynamics Specialist
LEO Flight Dynamics Analyst
Senior LEO Flight Dynamics Specialist
Data Scientist – Ai Agents & Advanced Analytics - $84,200 - $134,600 A Year - Remote
Jr. Software Engineer - C$76,000 - C$95,000 A Year
Senior Business Data Scientist, Forecasting, Google Cloud - C$174,000 - C$178,000 A Year
Staff Embedded Software Engineer - $133,000 - $183,000 A Year
Senior Software Developer, Ai Solutions - $108,750 - $158,750 A Year
Data Engineer - C$90,000 - C$120,000 A Year
Manager Ai - C$110,000 - C$160,000 A Year
Software Test Engineer / Validation Engineer - C$140,000 - C$180,000 A Year
Junior Ai Software Engineer - $65,000 - $75,000 A Year - Remote
Staff Software Engineer, Generative Ai, Applied Ai, Research - $207,000 - $300,000 A Year
Staff Software Engineer, Machine Learning Platform
Senior Machine Learning Engineer - C$176,000 - C$225,000 A Year - Remote
Bell Senior Data Scientist - Ml Innovations
Engineer - Advanced Network
Architect, Machine Learning (Principal Scientist)
C5isrt Architect
Ai Software Engineer - $100,000 - $120,000 A Year - Remote
Qnx Senior Security Researcher
Advanced Wireless Engineer: 6g & Ai Prototyping - C$106,000 - C$156,000 A Year
Embedded Software Engineer
Product Line Manager - Routing & Switching Innovation
Electrical Engineering Trainee - C$81,000 - C$84,000 A Year
Remote Senior Software Engineer (Fullstack) - Remote
Job Description
Working as a Machine Learning Engineer in Ottawa, ON
There are 304 Machine Learning Engineer opportunities available in Ottawa, ON 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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