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Added 5 months ago
D
Software Engineer, Detection (TOR)
Doppel
Toronto, ON
- $157,000 to $367,000 CAD / year
- Full-time
Strong mastery of at least one backend language (Python, Go, Java, or Node) and comfort with web APIs, async processing, and service frameworks.
Added 1 month ago
Sr. Staff Physical Design Timing Engineer (STA)
Lightmatter
Toronto, ON
Well versed with scripting languages like TCL and Python, PERL, or Shell
Added 5 months ago
Network Engineer, Foundation and Support (Edge/Backbone Infrastructure Design)
Meta
Quinte West, Ontario
…we are looking for a Network Infrastructure Design Engineer with demonstrated experience in developing and delivering network infrastructure solutions at scale in a data center or globally…
Added 1 month ago
M
DevSecOps Engineer
Maxima
Toronto, ON
- Full-time
Help with developer infrastructure, including deployment automation and internal tooling
Added 5 months ago
O
Senior Software Developer, Data & MLOps
OSEDEA
Montreal, Quebec
- Full-time
As a Senior Software Developer with strong Data Engineering and MLOps experience, you design, build, and deliver robust data and machine learning solutions for our clients. You combine…
Added 5 months ago
O
Senior Software Developer, DevOps & Infrastructure
OSEDEA
Montreal, Quebec
- Full-time
As a Senior Software Developer with strong Cloud, DevOps, and infrastructure experience, you design, build, and deliver robust software solutions, architectures, and infrastructure for our…
Added 5 months ago
V
IT Projects Co-Op Student
Vale
St. John's, Newfoundland and Labrador · Greater Sudbury, Ontario · Toronto, Ontario
- Full-time
With industry-leading reserves of copper and nickel in Canada, Brazil, and Indonesia, and state-of-the-art infrastructure in the U.K., Canada, and Japan, VBM delivers a secure and…
Added 5 months ago
GS
Senior Site Reliability Engineer
Guidewire Software
Remote, Canada
- Full-time
- Remote
You hold a Bachelor’s Degree in Computer Science or a related field and have solid experience with Bash, Python, and/or Go.
Added 5 months ago
CT
Market Data Business Analyst
Confluence Technologies
Canada
- Full-time
Rather than a typical Business Analyst position, this role is hands-on - you’ll work directly with data, shape how it flows through systems, and help deliver real, usable data solutions…
Added 5 months ago
A
Field Engineering Co-Op
Acceldata
Kitchener, Ontario
- Internship
As a Field Engineer Co-op at Acceldata, you’ll be working hands-on with complex distributed systems, helping real customers solve deep infrastructure and data observability challenges.
Added 5 months ago
A
Sales Engineering Co-Op
Acceldata
Kitchener, Ontario
- Internship
As a Sales Engineer Co-op at Acceldata Inc, you will work closely with our sales engineering team to support customer-facing initiatives across solution design, pre-sales, and technical…
Added 5 months ago
T
Machine Learning Engineer II
TD
Remote, Canada
- Full-time
- Remote
Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability.
Added 5 months ago
I
Senior Site Reliability Engineer
iManage
Toronto, ON
- Full-time
…cloud journey. This requires rethinking technical decisions with a beginner’s mindset and a focus on resilience and sustainability. If you write code, think in systems, embrace complexity…
Added 4 months ago
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DevOps Cloud Engineer
Nasdaq
Toronto, Ontario
- Full-time
You'll thrive in this position if you're a collaborative problem-solver with deep technical expertise, a passion for automation, and the ability to drive infrastructure innovation in a…
Added 5 months ago
M
Intermediate Electronics Validation and Test Engineer/Designer
MDA
Sainte-Anne-de-Bellevue, Quebec
- Full-time
…industry. A robotics, satellite systems and geointelligence pioneer with a 55-year+ story of world firsts and more than 450 missions, MDA Space is a global leader in communications…
Added 1 month ago
IT Industrial CrossFunction - Full Stack & AI Integration
Amrize
Mississauga, ON · Laval, QC
…skills to work on projects that matter - and build a career with a company that’s building North America - we want to hear from…
Added 5 months ago
I
Senior Director, Software Engineering
Infoblox
Burnaby, BC
- Full-time
At Infoblox, every breakthrough begins with a bold “what if.”
Added 5 months ago
W
(CAN) Solution Consultant II
Walmart
Mississauga, Ontario
- Full-time
The role also contributes to building and scaling test automation practices, while collaborating closely with cross-functional teams.
Added 1 month ago
Developer, System Integration
Dollarama
Mont-Royal, QC
The Integration Developer acts as a member of the Software Development Team and is responsible for developing and maintaining new features across the SAP and Non-SAP Integration Landscape…
Added 1 month ago
Senior Platform Engineer
Scotiabank
Toronto, Ontario
Experience developing automation or services using Python, Java, Go, or Bash.
Added 1 month ago
Developer, Platform Engineering
Scotiabank
Toronto, ON
…platform(s) as per banks Data & AI strategy. This consists of working with cross functional teams like IAM, Network, Cloud Ops, Security, Client partners etc for integration, process…
Added 1 month ago
Software Engineer
Scotiabank
Toronto, ON
4+ years’ experience with a modern programming language such as Java or Python or .NET/C#
Added 1 month ago
Senior DevOps Engineer
Scotiabank
Toronto, Ontario
Hands-on experience with CI/CD and automation tools such as Jenkins, Ansible, and Terraform.
Added 1 month ago
Senior Quality Engineer
Scotiabank
Toronto, ON
Proficiency in test automation frameworks and scripting languages (e.g., Python, PowerShell, JavaScript).
Added 1 month ago
Lead Software Engineer
Scotiabank
Toronto, ON
Experience with automation / scheduling technology (eg. CRON, Tidal, Airflow, etc)

Machine Learning Engineer II

Remote, Canada

Remote

$154,000 - $199,500 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually. · Full-time

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Job details

Pay: $154,000 - $199,500 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: May 4, 2026

Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$154,000 - $199,500 CADThe 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:

Layer 6 is the AI research centre of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.

Our research broadly spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty.

We are always looking for people driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.

We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning applied to the real world. Our team is building standardized frameworks to launch AI models that have real-world impact. Work with large-scale, real-world datasets spanning multiple modalities, ranging from banking transactions, conversation transcripts to large document collections.

Day-to-day as a Machine Learning Engineer:

Join a world-class team of AI developers with an extensive track record.
Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability.
Write clean, efficient, and maintainable code for ML models to ensure efficient deployment of scalable AI application.
Work with large-scale, real-world datasets that range from banking transactions, conversation histories, to large document collections.

Job Requirements

What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field
Minimum three years of experience delivering major data science projects in large, complex organizations
Strong communication, business acumen and stakeholder management competencies
Strong technical skills: machine learning, data engineering, MLOps, cloud solution architecture, software development practices
Strong coding proficiency: python, R, SQL and / or Scala, cloud architecture a plus
A track record of driving product adoption and growth
Familiarity with cloud solution architecture, Azure a plus
Certified Scrum Product Owner and / or Certified Scrum Master or equivalent experience a plus
Master's degree data science, artificial intelligence, computer science or equivalent experience

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

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More about this job

Responsibilities

Architect and deploy scalable machine learning and Generative AI systems using large-scale financial datasets. Write clean, maintainable code to ensure the efficient operation and reliability of AI applications.

Requirements

Requires a degree in Computer Science, Statistics, or a related field with at least three years of experience delivering major data science projects. Proficiency in Python, SQL, and cloud architecture is essential, with Scrum certifications being a plus.

Skills

Machine Learning
Generative AI
MLOps
Cloud Solution Architecture
Python
R
SQL
Scala
Data Engineering
Software Development
Stakeholder Management
Azure
Scrum
Deep Learning
Time Series Forecasting
Responsible AI

Benefits

Health And Well-being Benefits
Savings And Retirement Programs
Paid Time Off
Banking Benefits And Discounts
Career Development
Reward And Recognition Programs

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Generative AI
Deep Learning
Time Series Forecasting
Responsible AI
MLOps
Cloud Architecture
Azure
Python
R
SQL
Scala
Data Engineering
Scrum Product Owner
Scrum Master
Financial Services
Big Data
Software Development
Analytics
Artificial Intelligence

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