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Jobs in Canada

Added 26 days ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
Expert-level proficiency in Python, including ML frameworks (PyTorch/TensorFlow), LLM orchestration (LangChain/LlamaIndex).
Added 26 days ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
Expert-level proficiency in Python, including ML frameworks (PyTorch/TensorFlow), LLM orchestration (LangChain/LlamaIndex).
Added 26 days ago
R
Senior Embedded Software Engineer
Ranovus
Ottawa, ON
- Full-time
Proficiency in Python for scripting, automation, or system‑level tools.
Added 26 days ago
P
Senior Software Engineer, Test
Providius
Hamilton, ON
- Full-time
AI and ML systems: Python-based ML and LLM tooling, model and data pipelines, LLM integrations, and Model Context Protocol (MCP)
Added 26 days ago
Media Technology Analyst, Sr., (MTA), Bell Media
Bell
Toronto, ON
Solid script development skills (Python, Bash) for system automation including telemetry collection and correlation.
Added 26 days ago
I
UiPath Developer
INVOKE
Montreal, QC
- Full-time
We are looking for a UiPath Developer to join our team in Montreal. In this role, you will work closely with clients and internal teams to design, develop, and deliver automation solutions…
Added 26 days ago
B
Backend Engineer
Bluehost
Canada
- Full-time
…of small-business websites. You'll own backend features in Python, on Linux, backed by MySQL, with real say in how we modernize this platform, and real input on technical decisions. Perl…
Added 26 days ago
I
Solutions Architect
INVOKE
Montreal, QC
- Full-time
5+ years of hands-on experience with UiPath as a developer
Added 26 days ago
X
Senior Data Scientist - Decision Intelligence
Xanadu
Toronto, ON
- Full-time
Production-quality Python, SQL, Spark, or other DS stack. Experience building AI-driven analytical tools and integrating ML models into user-facing products.
Added 26 days ago
AS
Software Developer
AgileGrid Solutions
Canada
- Full-time
McKesson is seeking a Sr. Software Developer to design, build, and scale modern software solutions that support healthcare technology innovation. In this role, you will help deliver secure,…
Added 26 days ago
BT
IT & Innovation Consultant, SR&ED
Baker Tilly Canada
Windsor, ON
- Full-time
Assist our internal developer with automation projects during periods of lower SR&ED workload, particularly following the tax season.
Added 26 days ago
IG
IC Design Verification Engineer
Insight Global
Ottawa, ON
- Full-time
Strong Experience in EDA tools and scripting (Python, TCL, Perl, Makefile, Shell) used to build tools and flows for verification environments
Added 26 days ago
PA
Developer, QA Automation
Porter Airlines Inc.
Toronto, ON
- Full-time
We are seeking a Developer, QA Automation to build automated testing within our IT delivery teams. This role focuses on designing, developing, and maintaining automated test suites and…
Added 26 days ago
CO
Principal Associate, AI Engineer
Capital One
Toronto, ON
- Full-time
At least 3 years of experience programming with Python, Go, Scala, or Java
Added 26 days ago
CO
Manager, Applied Researcher
Capital One
Toronto, ON
- Full-time
Added 26 days ago
SL
Senior Software Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Experience building developer tooling or integrations that leverage Large Language Models (LLMs), including IDE extensions, Model Context Protocol (MCP), tool-calling APIs, and…
Added 26 days ago
SL
Sr. Analytics and Automation Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Scripting & Programming: Proficiency is Python and/or Powershell is must
Added 26 days ago
SL
Student, AI Developer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
The Student, AI Developer will support the design, development, and testing of AI-enabled capabilities for the Governance by Design (GbyD) platform. Working alongside experienced engineers,…
Added 26 days ago
FL
Application Engineer
Flexkube Lab Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
Strong software engineering background with Python.
Added 26 days ago
IG
Sr. Test Engineer
Insight Global
Gatineau, QC
- $52 to $62 CAD / hour
- Contract
…testing experience, is comfortable developing automated tests in Python, and can contribute to the overall test strategy rather than simply executing existing test cases. The team is also…
Added 26 days ago
IG
Mechanical Engineer (CATIA Designer)
Insight Global
Longueuil, QC
- $27.5 to $40 CAD / hour
- Contract
…BI, reporting tools, and dashboard development. Exposure to Python for data analysis or automation. Familiarity with data science concepts and analytics. Experience leveraging AI-enabled…
Added 26 days ago
VI
AI Evaluation Scientist - Learning & Cognition
Vector Institute
Toronto, ON
- $125,800 to $157,300 CAD / year
- Full-time
Proficient in Python for research work, including building evaluation pipelines, analyzing data, and working with LLM APIs and evaluation tooling;
Added 26 days ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.
Added 26 days ago
S&
Senior Grid Interconnection Consultant
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
Experience in Python, Java Script, or other scripting languages
Added 26 days ago
C
Software Developer, Hybrid, Ottawa, Canada
Cisco
Ottawa, ON
- Full-time
We are seeking a highly skilled Software Developer to deliver features needed for integration between Cisco Cloud Control and Cisco Catalyst Center. In this role, you will design and lead…

Senior Machine Learning Engineer

Toronto, ON, Canada

$115,600 - $163,200 CADThis role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. · Full-time

Apply About employer

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Job details

Pay: $115,600 - $163,200 CADThis role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually.
Job type: Full-time
Posting language: English
Posted: Oct 13, 2026

Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$115,600 - $163,200 CADThis role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. You are encouraged to have an open dialogue with your recruiter who can provide more specific pay details for this role.

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:

We are seeking a Senior AI/ML Engineer to drive the strategic implementation of generative AI and machine learning capabilities across TD's enterprise platforms. This individual contributor role combines deep technical expertise in large language models and cloud AI services with strategic thinking to architect and deliver production-scale AI solutions that transform how TD serves customers globally. You will be at the forefront of TD's AI transformation, working with cutting-edge technologies and enterprise LLM frameworks to solve complex business challenges while ensuring compliance with stringent banking regulations and responsible AI practices.

KEY ACCOUNTABILITIES

Design and implement end-to-end generative AI solutions leveraging Azure AI and Google AI services to deliver transformative business changes and capabilities.

Lead the development and optimization of production-grade LLM applications using advanced techniques including RAG (Retrieval Augmented Generation), prompt engineering, fine-tuning, and multi-agent architectures to achieve measurable business outcomes

Implement AI security frameworks such as prompt injection, adversarial attack mitigation, data poisoning detection and prompt shield

Deliver solutions for content filtering, output monitoring and automated safety guardrails for generative AI systems.

Architect scalable MLOps pipelines and AIOps frameworks ensuring model versioning, automated retraining, monitoring, and explainability while maintaining 99.9% availability for mission-critical AI services

Partner with business stakeholders to translate strategic objectives into AI/ML proof-of-concepts and production solutions, demonstrating clear ROI and business value through rapid prototyping and iterative development

Drive technical strategy for expanding AI/ML capabilities across hybrid cloud landscape, evaluating emerging technologies including small language models, agentic AI, and edge deployment strategies

Mentor platform engineers and data scientists on advanced ML techniques, LLMOps practices, and responsible AI principles through hands-on collaboration and technical leadership

Conduct technical due diligence on AI vendors and tools, providing recommendations for strategic investments in technologies like Cohere, Anthropic, and open-source LLMs

EXPERIENCE & EDUCATION

Bachelor's degree in Computer Science, Machine Learning, Mathematics, or related technical field

Minimum 5+ years hands-on AI/ML engineering experience with 3+ years focused on generative AI and LLM applications

5+ years of executive leadership experience in financial services with proven ability to influence C-suite stakeholders and drive strategic technical initiatives

Expert-level proficiency in Python, including ML frameworks (PyTorch/TensorFlow), LLM orchestration (LangChain/LlamaIndex).

Deep hands-on experience with Azure OpenAI Service, Azure ML Studio, Databricks MLflow, and Google Vertex AI for enterprise-scale model deployment and management

Strong understanding of MLOps/LLMOps practices including CI/CD for ML (Azure DevOps, GitHub Actions), infrastructure-as-code (Terraform), and containerization (Docker/Kubernetes)

Experience with real-time ML inference, streaming architectures (Kafka/Pub/Sub), and edge deployment for latency-sensitive applications

Hands-on experience with multi-modal models, computer vision, and advanced NLP beyond standard LLM applications

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

Design and implement end-to-end generative AI and machine learning solutions to drive strategic business changes across enterprise platforms. Lead the development of production-grade LLM applications while ensuring compliance with banking regulations and responsible AI practices.

Requirements

Requires a bachelor's degree in a technical field and at least 5 years of hands-on AI/ML engineering experience. Candidates must possess expert-level proficiency in Python and deep experience with enterprise-scale model deployment and MLOps practices.

Skills

Generative AI
Machine Learning
Python
PyTorch
TensorFlow
LangChain
LlamaIndex
Azure AI
Google AI
MLOps
LLMOps
RAG
Prompt Engineering
Kubernetes
Docker
Terraform

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

Generative AI
Machine Learning
Large Language Models
Azure AI
Google AI
RAG
Prompt Engineering
Fine-tuning
MLOps
LLMOps
Python
PyTorch
TensorFlow
LangChain
LlamaIndex
Azure ML Studio
Databricks MLflow
Google Vertex AI
Azure DevOps
GitHub Actions
Terraform
Docker
Kubernetes
Kafka
Multi-modal models
Computer Vision
NLP
Financial Services
Hybrid Cloud
Agentic AI

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