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Jobs in Canada

Added 7 days ago
AS
GCP Consultant
Apex Systems
Toronto, ON
- $49 to $54 USD / hour
- Contract
Duration of Contract/Perm: 6 month contract with potential to extend
Added 7 days ago
T
Applied Machine Learning Scientist I ATH# 5645 (Tabular Deep Learning Model Validation)
TD
Toronto, ON
- Full-time
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.
Added 7 days ago
S
Senior Full Stack Gen AI Engineer/Technical Engagement Manager
Straive
Calgary, AB
- Full-time
…committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive…
Added 7 days ago
BP
AI Model Validator
BNP Paribas
Montreal, QC
- Full-time
Programming experience in statistical or mathematical languages such as Python or R, and hands‑on experience with version‑control systems like GitHub.
Added 7 days ago
C
AI Data Engineer
Citi
Mississauga, ON
- Full-time
…software engineering, data engineering, and AI/ML expertise with a focus on building scalable enterprise…
Added 7 days ago
Senior Consultant - Capital Markets - Market Risk and Treasury
EY
Toronto, ON
At EY, we’re all in to shape your future with confidence.
Added 7 days ago
T
AVP, AI & Innovation
TD
Toronto, ON
- Full-time
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.
Added 7 days ago
GI
Artificial Intelligence Engineer
G-FORCE IT SERVICES INC
ON · Ontario, Canada
- Full-time
Build AI-powered applications using Python and relevant ML frameworks.
Added 7 days ago
P
Senior Data Scientist
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
You bring strong foundations in statistical modeling, predictive analytics, and optimization, along with strong Python skills and experience with tools such as scikit-learn, Pandas, NumPy,…
Added 7 days ago
VS
Senior Software Developer in Test (AI Portfolio)
Vena Solutions
Remote, Canada
- Full-time
- Remote
As a Senior Software Developer in Test, you will be responsible for the development, execution, and maintenance of automated tests to support the Software Test Life Cycle for Vena’s agentic…
Added 7 days ago
C
Applied AI Research Scientist
CIBC
Toronto, ON
- Full-time
…leveraging the latest technology and platforms. We collaborate with the leading academic institutes in the space of AI and machine learning to promote the exchange of ideas and enrich our…
Added 7 days ago
AI
Platform Engineer - AI/ML Infrastructure
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Halifax, NS
- Full-time
Maintain CI/CD pipelines with GitHub Actions and Artifactory.
Added 7 days ago
BR
Perception Engineer
BHF Robotics
Markham, ON
- Full-time
Proficiency in C++, Python, or other relevant programming languages, with solid skills in object-oriented software development.
Added 7 days ago
BC
Associate, DevOps Engineer
BMO Capital Markets
Toronto, ON
- Part-time
Stay current with emerging DevOps, AI/ML, and cloud technologies to continuously improve processes.
Added 7 days ago
Software Engineer III
Electronic Arts
Vancouver, BC
…quality issues earlier. We build automation frameworks and developer tools that combine software development and applied AI/ML to improve how we test EA-SPORTS…
Added 7 days ago
BO
Senior Data Scientist, Economics & AI
Bank of Canada
Ottawa, ON
- Full-time
Proficiency with programming languages such as Python, MATLAB, or similar analytical computing tools.
Added 7 days ago
NV
AI Solution Architect (ID#5443)
New Value Solutions
Vancouver, BC · Greater Vancouver, BC
- Contract
Build reference implementations using C#, ASP.NET, .NET 10, Python, and Azure with monitoring, logging, and observability, establishing the patterns the engineering team scales to…
Added 7 days ago
IG
AI Data Science Engineer
Insight Global
Toronto, ON
- $80 to $95 CAD / hour
- Contract
Experience with scikit-learn or comparable Python ML libraries.
Added 7 days ago
Senior Agentic AI Software Backend & Platform Engineer
Siemens
Kitchener, ON
…ever-changing challenges, customer needs, and questions from colleagues with clever concepts and creativity. We embrace change and work with curious minds re-inventing the future of work.…
Added 7 days ago
IG
AI Data Science Engineer
Insight Global
Toronto, ON
- $70 to $90 CAD / hour
- Contract
Experience with scikit-learn or comparable Python ML libraries.
Added 7 days ago
C
Principal Consultant, Secure Microsoft 365 Collaboration and AI
CrucialLogics
Canada
- Full-time
Proven expertise in Languages; PowerShell, PnP, Python (for AI scripting), JavaScript, C#, JSON, Power Query (DAX), and experience with REST APIs and GraphQL for integrating AI services.…
Added 7 days ago
HT
IT Product Engineer - HRIS
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Contract
2+ years of professional software development experience with strong proficiency in Python and/or JavaScript/TypeScript.
Added 7 days ago
HO
AI Engineer
Hydro One
Toronto, ON
- $80 to $88 CAD / hour
- Contract
7+ years of experience in AI/GEN AI/ML engineering, with strong expertise in Azure cloud environments
Added 7 days ago
Associate, DevOps Engineer
BMO
Toronto, ON · FCP
Stay current with emerging DevOps, AI/ML, and cloud technologies to continuously improve processes.
Added 7 days ago
C
Machine Learning Engineer Co-op
CIBC
Toronto, ON
- Full-time
MLOps: You will utilize your Python programming skills to refactor experimental notebooks into production grade Python modules using functional programming. You will assist with tasks…

Applied Machine Learning Scientist I ATH# 5645 (Tabular Deep Learning Model Validation)

Toronto, ON, Canada

$105,500 - $134,500 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: $105,500 - $134,500 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
Job type: Full-time
Apply by: Dec 31, 2026
Posting language: English
Posted: Oct 22, 2026

Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$105,500 - $134,500 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:

*Department Overview

TD Model Validation (MV) group is responsible for the independent validation and approval of models used for Generative AI, Natural Language Processing (NLP), Tabular Deep Learning, credit, fraud, and marketing models. The Artificial Intelligence/Machine Learning (AI/ML) MV team is responsible for the validation of all AI/ML models used across the Bank for various use cases.

*Job Description

The position reports to Senior Applied Machine Learning Scientist in the AI/ML Model Validation team and is primarily focused on the validation and review of Deep Learning models.

Detailed accountabilities include:

Research, validate, and apply new techniques in testing deep learning models applied to tabular/structured datasets.
Stay up to date with advancements in the field of AI including major publications, foundation models, evaluation metrics, explainability, technology stacks, and datasets.
In depth knowledge of techniques and developments in the field of AI/ML and share knowledge with business partners and senior management.
Develop/implement AI/ML model validation methodologies and standards, especially for Tabular Deep Learning / Foundation models. Ensure that the validation methodologies and standards are in line with industry best practices and address regulatory and audit requirements.
Work in Distributed Cluster / Cloud environments with large-scale datasets ranging from transactions to large document collections.
Develop and apply a variety of statistical tests and modeling techniques to identify/recommend improvements to models and undertake related initiatives. Implement benchmark models as applicable.
Conduct R&D in the area of Tabular Deep Learning and Foundation Models evaluation, testing, explainability.
Communicate findings and recommendations to both technical and non-technical stakeholders.

The position involves working effectively with different internal partners such as AI2, Layer6, P&T, and FCRM.

*Job Requirements

Strong quantitative skills with an advanced degree in one or more of the following areas: computer science, machine learning / AI, engineering, statistics, mathematics, or physics.
Experience with and strong knowledge of AI/ML methodologies including Deep Learning, modern Natural Language Processing (NLP), Transformers, Diffusion models, and Bagging/Boosting methods.
Experience with Deep Learning technology stacks and libraries such as PyTorch, Tensorflow/Keras etc.
Stay up to date with the latest advancements in Tabular Deep Learning / Foundation models, Machine Learning, and Cloud technologies.
Proficient in one or more scripting/programming languages such as Python, Java, Scala, Pyspark.
Familiarity with cloud platforms (e.g., Azure Databricks, Azure ML Studio).
Familiarity with Data Structures, Algorithm design, and principles of Object-Oriented Programming (OOP).
Knowledge of machine learning explain-ability/interpretability algorithms.
Excellent verbal and written communication skills. The position requires writing clean technical reports.
Ability to work independently and collaboratively in a fast-paced, dynamic environment. Great time management and multitasking skills with minimal supervision.

* Preferred Qualifications

Publications in the relevant conference and journals are a plus.
Ability to implement AI/ML algorithms from academic research papers is a plus.

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

The role involves researching, validating, and applying new techniques for testing deep learning models on tabular and structured datasets. You will develop validation methodologies and standards while communicating findings to both technical and non-technical stakeholders.

Requirements

Candidates must possess an advanced degree in computer science, machine learning, engineering, statistics, mathematics, or physics. Strong proficiency in AI/ML methodologies, deep learning frameworks, and scripting languages like Python is required.

Skills

Machine Learning
Deep Learning
Tabular Data
Model Validation
Python
PyTorch
Tensorflow
Keras
Natural Language Processing
Transformers
Cloud Computing
Azure Databricks
Statistical Modeling
Algorithm Design
Explainability
Data Structures

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

Applied Machine Learning
Model Validation
Tabular Deep Learning
Generative AI
NLP
Foundation Models
PyTorch
Tensorflow
Keras
Python
Java
Scala
Pyspark
Azure Databricks
Azure ML Studio
Cloud Platforms
Statistical Tests
Explainability
Interpretability
Data Structures
Algorithm Design
Object-Oriented Programming
Quantitative Skills
Transformers
Diffusion Models
Bagging
Boosting
R&D
Financial Services
Risk Management

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