ZipRecruiter

Log In

2

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

Mercor

Healthcare Manager - Domain Expert

Toronto, ON · Remote

CA$80 - CA$110/hr

Remote Duration: 3-4 weeks Commitment: 30-40 hours/week Role Responsibilities * Create deliverables ... Diagnose and solve real issues in machine learning systems . * Contribute expertise to cutting-edge ...

New

Mercor

Nurse Practitioner - Clinical Expert

Toronto, ON · Remote

CA$80 - CA$100/hr

Remote Duration: 3-4 weeks Commitment: 30-40 hours/week Role Responsibilities * Create deliverables ... Diagnose and solve real issues in your domain to advance machine learning systems . * Contribute ...

New

Mercor

Administrative Services Manager - Expert

Toronto, ON · Remote

CA$90 - CA$110/hr

Remote Duration: 3-4 weeks Commitment: 30-40 hours/week Role Responsibilities * Create deliverables ... Diagnose and solve real issues in your domain to advance machine learning systems . * Contribute ...

Databricks

Solutions Architect

Toronto, ON · On-site +1

P-225 While candidates in the listed locations are encouraged for this role, we are open to remote ... Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO) * Data Applications (Ex: Logs ...

Mercor

Network Engineer - Data Annotation

Toronto, ON · 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 ...

Mercor

Network System Engineer

Toronto, ON · 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 ...

Mercor

Senior Network Engineer | Upto $70/hr

Toronto, ON · Remote

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 ...

Mercor

Network Engineer

Toronto, ON · 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 ...

Mercor

Network Support Engineer

Toronto, ON · 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 ...

TELUS

Senior Market Intelligence Manager

Toronto, ON · Remote

... 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 ...

next page

Showing results 1-20

All JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Toronto, ON

Remote Machine Learning information

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

Can I work remotely as a machine learning engineer?

Yes, many machine learning engineer roles are available for remote work, especially in companies that support flexible or distributed teams. Remote positions often require strong skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch, along with good communication skills. However, some roles may require on-site presence for collaboration or access to specialized hardware.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

Which 5 jobs will survive AI?

Remote machine learning roles such as data scientists, AI researchers, machine learning engineers, AI product managers, and AI ethics specialists are expected to persist as AI advances. These jobs require specialized skills in programming, statistical analysis, and domain expertise that are difficult to fully automate. Continuous learning and proficiency in tools like Python, TensorFlow, or PyTorch are essential for these roles.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in competitive markets.

Are ML jobs in demand?

Machine Learning (ML) jobs are in high demand across various industries such as technology, finance, healthcare, and retail. The growth is driven by increasing adoption of AI solutions, data-driven decision making, and the need for expertise in programming, data analysis, and model deployment, making ML a promising career path.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Toronto, ON? The most popular types of Machine Learning jobs in Toronto, ON are:
What are popular job titles related to Remote Machine Learning jobs in Toronto, ON? For Remote Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Toronto, ON look for? The top searched job categories for Remote Machine Learning jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Remote Machine Learning jobs? Cities near Toronto, ON with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Toronto, ON as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Senior Data Scientist

Senior Data Scientist

Celestica International LP

Toronto, ON • On-site, Remote

Other

Posted 8 days ago

Job description

Req ID: 134618 
Remote Position: Hybrid
Region: Americas 
Country: Canada 
State/Province: Ontario 
City:  Toronto 

Summary

As the Specialist, SCM Data, you will be joining a team that embraces data and technology to develop advanced and innovative solutions. In this role, you will engage with Supply Chain cross functional business partners and facilitate building data pipelines and analytics projects to tailor solutions to business problems, using analytics to provide insights to enable incremental results.

Detailed Description

Key Responsibilities:
Support ongoing data projects for Cost Productivity, Price Productivity, and First Quote Competitiveness.
Data Pipeline: Gather required data, organize and manage the data, clean and prepare for modelling.
Data Analysis: Support and maintain AI and Machine Learning Models for consumption by Business users.
Story Telling: Develop dashboards and recurring reports to translate data & information into insight.
AI/ML Solution Development: Develop and deploy AI or machine learning models and algorithms to solve complex business problems.
Dedication to ensuring your work is well documented and version controlled.

Knowledge/Skills/Competencies

Experience using the following services/tools:
1. Microsoft Azure cloud services: Azure Data Factory, Azure Databricks, Azure ML.
2. Google Cloud Platform: Vertex AI, BigQuery, Cloud Storage, and other services.
3. Machine Learning, Good to have Natural Language processing and Deep Learning.
4. Familiar with ML Ops, Data Engineering and CI/CD Pipeline concepts.
5. Foundational knowledge on large language models (LLMs), transformer models, and retrieval augmented generation (RAG) is an asset.
6. Python, PySpark.
7. Power BI platforms.
8. Relational SQL databases.
9. The ability to quickly familiarize yourself with new languages, tools, frameworks.
10. General knowledge of the supply chain is considered an asset.

Physical Demands
  • Duties of this position are performed in a normal office environment.
  • Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
Typical Experience

Prefer 3-5 years of relevant supply chain experience, and open to considering new graduates with internship experience.

Typical Education

Prefer 3-5 years of relevant supply chain experience, and open to considering new graduates with internship experience.

Notes

This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.

Celestica is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.

Celestica is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. 
At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.

COMPANY OVERVIEW:
Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.

We use artificial intelligence tools to assist in screening and assessing  applications for this role. All hiring decisions involve human review.

This posting is for an existing vacancy.

Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

Apply