Machine Learning Engineer - AI Systems Development • Winnipeg, Canada
Our client, an AI-focused startup based in Toronto, Canada, are seeking a Full Stack / Machine Learning Engineer to deliver high-impact product features using React/Next.You will work within a focu... Show more
We are seeking a highly adaptable, creative, and well‑rounded Machine Learning Engineer to join our team.You will own the end‑to‑end ML lifecycle, from dataset creation and foundational research to... Show more
Seeking a Senior ML Engineer to lead AI development for medical imaging and ultrasound solutions in healthcare, requiring 5+ years of experience and a graduate degree. Show more
Seeking a Senior ML Engineer to lead AI development for medical imaging and ultrasound solutions in healthcare, requiring 5+ years of experience and a graduate degree. Show more
Be among the first 25 applicants.This range is provided by Rackspace Technology.Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.We are expanding... Show more
Shape the future of AI as a Senior AI/ML Engineer.Implement high-standard AI solutions while fostering client relationships and ensuring model quality with leading-edge technologies.This role combi... Show more
Elevate your career as a Senior Machine Learning Engineer at Fullscript, where you'll create AI solutions transforming healthcare.Be part of a team dedicated to building meaningful AI capabilities.... Show more
Position Overview The work we do at Autodesk touches nearly every person on the planet.By creating software tools for making buildings, machines, and even the latest movies, we influence and empowe... Show more
A leading staffing and consulting firm in Toronto is seeking a Machine Learning, AI Software Engineer.You will help build AI-powered capabilities on a modern platform, working on model integration ... Show more
Having surpassed $300M ARR and continuing to grow, Optro is the leading audit, risk, ESG, and InfoSec platform on the market.More than 50% of the Fortune 500, including 7 of the Fortune 10, leverag... Show more
AI Platform Engineer to build AI capabilities on a modern platform, focusing on model integration and evaluation.Requires software engineering experience with ML systems and Python proficiency. Show more
Step into the Lead Machine Learning Engineer role at Xsolla in Los Angeles, California.Drive pioneering ML features and collaborate with diverse teams to enhance the gaming experience.As Xsolla’s L... Show more
A global technology firm is seeking highly skilled AI Engineers to join their team.This remote position requires proficiency in programming languages like Python and experience in developing AI mod... Show more
Become a Senior AI Systems Engineer at Zapier, where your focus will be on developing AI platforms and enhancing machine learning workflows.This role significantly impacts how teams build with AI.I... Show more
A leading consulting firm in Toronto is seeking a professional to develop and train AI models.This hybrid role involves collaboration on AI solutions and requires expertise in programming languages... Show more
Make a meaningful impact as a Staff Machine Learning Engineer at Overstory, where you'll lead projects on wildfire fuel detection through advanced modeling techniques.This is a chance to use your s... Show more
A leading technology service provider is seeking an AI Development Engineer to design, develop, and deploy AI-driven solutions.This role offers the opportunity to work remotely and requires 3 to 5 ... Show more
AI/ML Lead (Senior Machine Learning Engineer – Full-time Leadership Role).Full-Time, Contract, Hands‑on Technical Leadership.CAD $180,000 – $250,000 base + significant equity + performance bonuses ... Show more
Job Requisition ID # 26WD94803 Senior Principal Machine Learning EngineerPosition Overview Autodesk is transforming the Architecture, Engineering, and Construction (AEC) industry by embedding advan... Show more
Design and deploy scalable AI and Machine Learning solutions, integrating models into enterprise applications and managing their lifecycle in a hybrid work environment. Show more
