Toronto, On Machine learning engineering Jobs – 853 Openings This Week

Machine Learning Scientist - AI Trainer
DataAnnotation —Thornhill, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
Machine Learning Engineering, Intern
Bree —Toronto, ON
- $50–$65 an hour
- Full-time
- Hybrid work
- Machine learning
- Internship / Co-op
- Communication skills
Machine Learning Engineer
Equinix —Toronto, ON
- $99,000–$149,000 a year
- Full-time
- Computer Science
- Bachelor's
- Continuous improvement
- Designated paid holidays
- Employee assistance program
Manager, Machine Learning Engineering
Clio —Toronto, ON
- $181,360–$272,040 a year
- Full-time
- Remote
- AI
- Communication skills
- Dental care
- Paid time off
10d
Instructor - Machine Learning & Advanced Web Programming
ILAC —Toronto, ON
- $45 an hour
- Computer Science
- Engineering
- Java
Quick apply
13d
Member of Technical Staff - Machine Learning Infrastructure Engineer
Preference Model —Toronto, ON
- $180,000–$300,000 a year
- Full-time
- AWS
- Dental care
- Vision care
14d
Applied Machine Learning Specialist
Vector Institute —Toronto, ON
- $100,600–$125,800 a year
- Full-time
- Computer Science
- Engineering
- Master's degree
Quick apply
10d
Electrician/Milwright (Dual Ticket) Starting $51.00/HR CAD
Graham Packaging Company —Mississauga, ON
- $51 an hour
- Overtime
- Schematics
- English
- Microsoft Office
9d
Pipe Welder
Kenaidan Contracting Ltd —Mississauga, ON
- From $40.88 an hour
- Weekends as needed
- Carpentry
- Welding
- Construction experience
- Disability insurance
- Dental care
Quick apply
AI Engineering Lead
Definity Financial Corporation —Toronto, ON
- $108,700–$158,700 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
- Tuition reimbursement
- Paid time off
Credit Risk Modelling Senior Associate
Pwc Canada —Toronto, ON
- $73,400–$122,400 a year
- Full-time
- Azure
- Writing skills
- Engineering
Senior Software Engineer, Agentic BIM (Founding Team)
DMD BUILDING SYSTEMS CORPORATION —Toronto, ON
- $120,000–$160,000 a year
- Full-time
- Hybrid work
- Math
- Machine learning
- In-person
- Dental care
- Paid time off
Quick apply
2d
Mechanical Design Engineer Internship
Digital Shovel —Scarborough, ON
- $20–$22 an hour
- Full-time
- Hybrid work
- Microsoft Excel
- Engineering
- Bachelor's
- Wellness program
- Dental care
Quick apply
Senior Cloud Engineer AI
BMO Financial Group —Toronto, ON
- $75,900–$141,900 a year
- Azure
- Databases
- AWS
- Tuition reimbursement
- Life insurance
Senior Cloud Engineer AI
BMO Financial Group —Toronto, ON
- $75,900–$141,900 a year
- Full-time
- Azure
- Databases
- AWS
- Tuition reimbursement
- Life insurance
Data Analyst, Credit Risk Management Department
Industrial and Commercial Bank of China (Canada) —Richmond Hill, ON
- Temporary
- Computer Science
- English
- Finance
- Disability insurance
- Dental care
Quick apply
iLab Coordinator, AI & Data Systems CO-OP
Dexterra Group —Mississauga, ON
- $20 an hour
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Databases
Quick apply
Data Scientist - TD Asset Management
TD Bank —Toronto, ON
- $105,000–$145,000 a year
- Full-time
- Computer Science
- Engineering
- Bachelor's
- Paid time off
6d
Staff AI Engineer
Tangerine Bank —Toronto, ON
- Machine learning
- APIs
- AI
Staff AI Platform Engineer
Tangerine Bank —Toronto, ON
- Computer science
- Azure
- Computer Science

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machine learning engineering jobs near toronto, on

Machine Learning Scientist - AI Trainer

DataAnnotation -
Thornhill, ON

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Job details

Contract | Fixed term contract
$50.00–$140.56 an hour

Qualifications

Bilingual
Statistics
Doctoral degree
Computer Science
Writing skills
Engineering
Mathematics
English
Google Cloud Platform
Master's degree
AWS
Bachelor's

Full job description

DataAnnotation is committed to creating quality AI. Help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule.

We are looking for an existing Machine Learning Scientist - AI Trainer to help train AI models. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in.

You'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. You can fit this work alongside a full-time role, or treat it as your primary focus, choosing projects and schedules that align with your availability and goals.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Advantages of contracting with us:

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour, with bonus rates available on some projects.
Impact: help shape the future of AI systems built to reason about data and analytics.

Responsibilities:

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Qualifications:

3+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master’s or PhD) is a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

Quick apply

Refine Your Search

machine learning engineering jobs in toronto, on

Machine Learning Scientist - AI Trainer

Machine Learning Engineering, Intern

Machine Learning Engineer

Manager, Machine Learning Engineering

Instructor - Machine Learning & Advanced Web Programming

Member of Technical Staff - Machine Learning Infrastructure Engineer

Applied Machine Learning Specialist

Electrician/Milwright (Dual Ticket) Starting $51.00/HR CAD

Pipe Welder

AI Engineering Lead

Credit Risk Modelling Senior Associate

Senior Software Engineer, Agentic BIM (Founding Team)

Mechanical Design Engineer Internship

Senior Cloud Engineer AI

Senior Cloud Engineer AI

Data Analyst, Credit Risk Management Department

iLab Coordinator, AI & Data Systems CO-OP

Data Scientist - TD Asset Management

Staff AI Engineer

Staff AI Platform Engineer

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