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

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 ...

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 ...

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 ...

Lifeworks

Jr. Quality Assurance Analyst

Toronto, ON · On-site +1

CA$50K - CA$60K/yr

Remote (Canada) Job Function: Retirement and Benefits Solutions Status: Permanent full-time ... Through continuous mentorship and hands-on learning, you'll deepen your expertise, take on ...

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 ...

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 4 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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