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Remote Machine Learning Qa Jobs in Toronto, ON (NOW HIRING)

Clarius Mobile Health

Machine Learning Engineer

Toronto, ON · Remote

CA$110K - CA$130K/yr

Software engineering best practices (version control, testing, code quality) * Ability to ... Vancouver, BC (hybrid preferred; remote candidates will be considered) Contract Duration: Two-year ...

New

Vancity

Machine Learning Engineer Lead

Toronto, ON · Remote

This position is remote and open to candidates located in British Columbia or Ontario. While this ... Developing production-quality Python code, APIs, automation workflows, and machine learning ...

Celestica International LP

QA Engineer

Toronto, ON · Remote

Req ID: 138664 Remote Position: Hybrid Region: Americas Country: Canada State/Province: Ontario ... Indirect Summary As a QA Engineer, you will ensure the quality and reliability of our core Supply ...

PPT

QA Specialist

Toronto, ON · Remote

We're currently looking for an experienced QA Specialist in the field of manual and automated ... A remote-hybrid work environment and flexible work arrangements to promote work-life balance. * A ...

Financeit

QA Analyst

Toronto, ON · On-site +1

CA$85K - CA$95K/yr

We are looking for a QA Analyst to join our product development team. We're searching for ... Career learning and development programs. Next Steps: If what you just read excites you, we'd like ...

YO AI Labs

Machine Learning Engineer - Remote

Toronto, ON · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

New

Mercor

Spreadsheet QA Specialist - Expert

Toronto, ON · Remote

CA$80 - CA$120/hr

Position: Spreadsheet QA / workbook maintenance Evaluator Type: Contract Compensation: $80-$120 ... Remote Role Responsibilities * Evaluate AI-generated artifacts against domain-specific quality ...

Mercor

Spreadsheet QA Specialist - Expert

Toronto, ON · Remote

CA$80 - CA$120/hr

Position: Spreadsheet QA / workbook maintenance Evaluator Type: Contract Compensation: $80-$120 ... Remote Role Responsibilities * Evaluate AI-generated artifacts against domain-specific quality ...

Mercor

Document QA Specialist - Expert

Toronto, ON · Remote

CA$80 - CA$120/hr

Remote Role Responsibilities * Evaluate AI-generated artifacts against domain-specific quality ... A . * Native or professional fluency in English . * Highly proficient in Microsoft Office and ...

Mercor

Document QA Specialist - Expert

Toronto, ON · Remote

CA$80 - CA$120/hr

Remote Role Responsibilities * Evaluate AI-generated artifacts against domain-specific quality ... A . * Native or professional fluency in English . * Highly proficient in Microsoft Office and ...

Mercor

Document QA Specialist - Expert

Toronto, ON · Remote

CA$80 - CA$120/hr

Remote Role Responsibilities * Evaluate AI-generated artifacts against domain-specific quality ... A . * Native or professional fluency in English . * Highly proficient in Microsoft Office and ...

Mercor

Document QA Specialist - Expert

Toronto, ON · Remote

CA$80 - CA$120/hr

Remote Role Responsibilities * Evaluate AI-generated artifacts against domain-specific quality ... A . * Native or professional fluency in English . * Highly proficient in Microsoft Office and ...

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Infographic showing various Remote Machine Learning Qa job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Machine Learning Engineer

Toronto, ON • Remote

NTENT
See more jobs at NTENTexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

Machine Learning Engineer
Position: Full time
Location: Toronto, Ontario (Initially Remote)
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search technologies directly into their business-to-consumer offerings. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.
About the Opportunity:
We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).
Keywords:
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction
Duties and Responsibilities:
  • Design, implement, and deploy machine learning algorithms.
  • Manage machine learning algorithm lifecycle.
  • Coordinate data collection and annotation efforts.
  • Work with real-time data and content coming from various data sources.
  • Manage machine learning data pipelines.
  • Design tests for machine learning algorithm effectiveness and performance monitoring.
  • Design tools and interfaces for interactive machine learning and teaching.
  • Research and development on cutting-edge machine learning technologies.
Qualifications and Skills:
  • Graduate degree in Computer Science with a strong background in machine learning required.
  • Strong problem-solving abilities, solid background in algorithms and data structures required.
  • Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
  • Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
  • Experience with building and deploying API's with Docker and Kubernetes required.
  • Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
  • Experience with Elastic Search, Lucene a plus but not required.
  • Experience with ranking algorithms a plus but not required.
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.
The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of natural language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life.

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