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Remote Machine Learning Quant Jobs in Toronto, ON

Senior ML Engineer

Toronto, ON ยท Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

Senior ML Engineer

Toronto, ON ยท Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

Remote Duration: 3-4 weeks Commitment: 30-40 hours/week Role Responsibilities * Create deliverables ... machine learning systems . Qualifications Must-Have * 4+ years professional experience in your ...

Network Engineer - Data Annotation

Toronto, ON ยท Remote

CA$50 - CA$70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ... Curiosity about how raw infrastructure data becomes machine learning input. Application Process ...

Network System Engineer

Toronto, ON ยท Remote

CA$50 - CA$70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ... Curiosity about how raw infrastructure data becomes machine learning input. Application Process ...

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ... Curiosity about how raw infrastructure data becomes machine learning input. Application Process ...

Network Engineer

Toronto, ON ยท Remote

CA$50 - CA$70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ... Curiosity about how raw infrastructure data becomes machine learning input. Application Process ...

Network Support Engineer

Toronto, ON ยท Remote

CA$50 - CA$70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ... Curiosity about how raw infrastructure data becomes machine learning input. Application Process ...

Strong foundation in machine learning, statistical modeling, and data science , including ... Degree in Mathematics, Computer Science, Engineering, Physical Sciences, or a related quantitative ...

... machine learning, and AI capabilities to evolve the team's analytical maturity over time #LI-REMOTE Qualifications What you bring * 5+ years of experience in data analytics, market intelligence ...

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Remote Machine Learning Quant information

What is the difference between Remote Machine Learning Quant vs Remote Data Scientist?

AspectRemote Machine Learning QuantRemote Data Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or financeDegrees in data science, statistics, or related fields; certifications like CAP or DASCA
Work EnvironmentFinancial firms, hedge funds, or quantitative trading companiesTech companies, research institutions, or consulting firms
Industry UsageFinance, trading, hedge fundsTechnology, healthcare, marketing, finance
Common Search/ComparisonYesNo

Remote Machine Learning Quants focus on developing quantitative models for trading and investment strategies within financial firms, often requiring finance-specific knowledge. Remote Data Scientists work across various industries, applying data analysis and machine learning to solve diverse business problems. While both roles involve machine learning, Quants are more finance-oriented, whereas Data Scientists have broader industry applications.

What are popular job titles related to Remote Machine Learning Quant jobs in Toronto, ON? For Remote Machine Learning Quant jobs in Toronto, ON, the most frequently searched job titles are:

Solution Architect - Contract 6-Months - Toronto (Remote)

CorGTA

Toronto, ON โ€ข Remote

CA$92/hr

Full-time

Posted 4 days ago


Job description

Position:Solution Architect (Elastic + Observability)
Location: Canada, Remote
Structure: Contract, 6-months to start, possiblity for extension
Pay:Up to $92.00/hr INC or $78.00/hr T4

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We have a great new opportunity to support one of our Technology Consulting clients in a contract capacity!

Please see below for more information on the position and if interested apply with an updated resume aligned to the needs of the role.

Requirements:

  • Assess and remediate existing Elastic Cloud clusters (versions 8.17.x to 9.2.x) managed by Elastic on GCP
  • Optimize and extend the ELK stack, Integration Server, and Machine Learning features for enterprise observability
  • Design and implement advanced observability solutions, including synthetic monitoring and other underutilized Elastic features
  • Integrate Elastic Cloud with various systems, applications, and data sources across the organization
  • Collaborate with architects and stakeholders to define long-term observability strategy and best practices

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CorGTA is an equal opportunity employer, please apply with an updated resume and ensure the required skills you are able to speak to for this position are included.

At times, CorGTA or itsclient partners may utilize AI tools to assist with thehiringprocesses.

By submitting your application, you consent to be contacted by CorGTA via email, SMS, or phone regarding current and future opportunities, and acknowledge our collection and use of your personal information in accordance with our Privacy Policy and Terms of Service:www.corgta.com/privacy-policy

For more roles like this, please go towww.corgta.com/find-a-job