Kleinburg On Machine learning engineer Jobs – 3181 Openings This Week

Applied Machine Learning Scientist I
TD Bank —Toronto, ON
- $105,500–$125,000 a year
- Full-time
- Bachelor's
- Machine learning
- Financial services
- Paid time off
3d
Supply Chain Associate
TD Bank —Toronto, ON
- $59,500–$84,000 a year
- Full-time
- Microsoft Powerpoint
- Research
- Analysis skills
- Paid time off
Mechanical Designer - AI Trainer
DataAnnotation —Brampton, ON
- From $60 an hour
- Contract
- Remote
- Engineering
- English
- Bachelor's
Quick apply
Senior Mechanical Engineer - AI Trainer
DataAnnotation —Thornhill, ON
- From $60 an hour
- Contract
- Remote
- Engineering
- English
- Bachelor's
Quick apply
Senior CCaaS Engineer
Ingram Micro —Mississauga, ON
- Up to $120,000 a year
- Full-time
- Hybrid work
- Computer Science
- ERP systems
- System design
- 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
B2B Sales Supervisor - AI Platform
TP Canada —Toronto, ON
- Full-time
- Salesforce
- Business development
- Analysis skills
- Dental care
- Tuition reimbursement
Contact Center AI Platform-Tech Lead
Definity Financial Corporation —Toronto, ON
- $108,700–$158,700 a year
- Full-time
- Hybrid work
- CRM software
- Computer Science
- DevOps
- Tuition reimbursement
- Paid time off
Mechanical Design Engineer - AI Trainer
DataAnnotation —Aurora, ON
- From $60 an hour
- Contract
- Remote
- Engineering
- English
- Bachelor's
Quick apply
Mechanical Engineer - AI Trainer
DataAnnotation —Etobicoke, ON
- From $60 an hour
- Contract
- Remote
- Engineering
- English
- Bachelor's
Quick apply
Engineering Manager
A. Berger Precision Ltd —Brampton, ON
- From $130,398.87 a year
- Full-time
- Engineering
- ERP systems
- Master's degree
- Dental care
- Paid time off
Quick apply
Senior Manager, AWS Technical Support
Ingram Micro —Mississauga, ON
- From $155,000 a year
- Full-time
- Sales
- DevOps
- Engineering
- Disability insurance
- Dental care
Quick apply
Shop Foreman (METAL INDUSTRY)
Confidential —Toronto, ON
- $95,000–$105,000 a year
- Full-time
- Inventory control
- AWS
- Supervising experience
- Dental care
- Vision care
Quick apply
VCIO Lead
Techify Inc —North York, ON
- $105,000–$155,000 a year
- Full-time
- Hybrid work
- Project management
- Presentation skills
- Bachelor's
- Profit sharing
- Wellness program
Quick apply
Staff Applied ML Engineer
Kaseya Careers —Toronto, ON
- $220,000–$280,000 a year
- SQL
- Machine learning
- Mentoring
Sr. NetSuite Solutions Architect
Elim Solutions —Markham, ON
- $160,000–$200,000 a year
- Full-time
- Hybrid work
- Computer Science
- Analysis skills
- Bachelor's
- Wellness program
- Dental care
Quick apply
Specialist, AI Engineering
Definity Financial Corporation —Toronto, ON
- $92,000–$142,000 a year
- Full-time
- Hybrid work
- Computer Science
- Java
- Master's degree
- Tuition reimbursement
- Paid time off
Accounting Manager (1 Year Contract)
Lauremont School —Richmond Hill, ON
- $70,000–$100,000 a year
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- CPR Certification
Quick apply
Staff Software Engineer
Kaseya Careers —Toronto, ON
- $180,000–$250,000 a year
- Azure
- AWS
- APIs
Engineering Drawings Checker
Mariani Metal Fabricators Ltd. —Etobicoke, ON
- $22–$24 an hour
- 8 hour shift
- CAD
- AWS
- Quality Control
- Dental care
- Vision care
Quick apply

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Applied Machine Learning Scientist I

TD Bank -
Toronto, ON

Apply Now

Job details

Full-time
$105,500–$125,000 a year
3 days ago

Qualifications

Business analysis
Bachelor's
Machine learning
Financial services
A/B testing
AI
Cross-functional collaboration
Model evaluation
Python
Cross-functional communication

Full job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$105,500 - $125,000 CAD

The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

About the Role

We are looking for a highly motivated Applied Machine Learning Scientist to join the Wealth AI / ML Practice, focused on Generative AI and Agentic Capabilities.

In this role, you will work at the intersection of problem discovery, solution design, and implementation, helping shape how agent‑based and traditional AI solutions are applied across Wealth use cases. You will partner closely with business, technology, and risk stakeholders to evaluate whether a given problem is best solved using Agentic AI, Generative AI, or traditional ML approaches, and then help build solutions in Gen AI / Agentic space either using Pro Code or Low Code tools.

What You’ll Do

Develop, deploy, and maintain ML models for use cases such as customer segmentation, acquisition, pricing and lifetime value
Translate business problems into analytical frameworks and collaborate with cross-functional teams to define success metrics and solution approaches
Conduct rigorous model evaluation, A/B testing, and monitoring to ensure model performance, fairness, and stability in production
Communicate complex technical results to non-technical stakeholders and provide actionable insights
Stay current with ML research and industry trends to bring innovative approaches into production

What You Bring

2+ years of experience applying machine learning to real-world business problems
Proficiency in Python and key ML libraries
Experience with structured and unstructured data, feature engineering, and model interpretability techniques
Hands-on experience with model deployment and monitoring in a production environment
Strong problem-solving skills and a track record of delivering results in cross-functional teams
Undergraduate degree required, advanced technical degree in a STEM field preferred

Nice to Have

Experience working in financial services or regulated environments
Exposure to GenAI or large language models and their practical applications
Familiarity with causal inference or reinforcement learning

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

Apply Now

Refine Your Search

machine learning engineer jobs in kleinburg on

Applied Machine Learning Scientist I

Supply Chain Associate

Mechanical Designer - AI Trainer

Senior Mechanical Engineer - AI Trainer

Senior CCaaS Engineer

AI Engineering Lead

B2B Sales Supervisor - AI Platform

Contact Center AI Platform-Tech Lead

Mechanical Design Engineer - AI Trainer

Mechanical Engineer - AI Trainer

Engineering Manager

Senior Manager, AWS Technical Support

Shop Foreman (METAL INDUSTRY)

VCIO Lead

Staff Applied ML Engineer

Sr. NetSuite Solutions Architect

Specialist, AI Engineering

Accounting Manager (1 Year Contract)

Staff Software Engineer

Engineering Drawings Checker

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