Find work in Canada.

520,031 jobs across our Canadian network. How we count

Jobs in Canada

Added 5 days ago
M
Senior Software Engineer
Mastercard
Toronto, ON
- Full-time
Continuously improve automation, testing, observability, developer experience, and software delivery processes.
Added 5 days ago
JG
Springboot Java Developer
J&M Group
Toronto, ON
- Full-time
5+ years of experience developing enterprise applications using Java and Spring Boot.
Added 5 days ago
LI
Software Developer - Senior
Lotus IT Solutions
Toronto, ON
- Contract
…Service Delivery and Procurement, is seeking a Senior Software Developer to join a multidisciplinary delivery team based onsite in Toronto. In this role, you will develop, configure,…
Added 5 days ago
LI
Senior Software Developer - Full Stack
Lotus IT Solutions
Toronto, ON
- Contract
…Service Delivery and Procurement) is seeking a Senior Software Developer – Full Stack to design, develop, integrate, test, deploy, and maintain enterprise platform capabilities across the…
Added 5 days ago
RB
Senior Manager, Engineer & Build
Royal Bank of Canada
Toronto, ON
- Full-time
Technology focus: Snowflake, Spark, dbt, Airflow, Python/Scala/Java, OpenShift/Kubernetes, and public cloud (e.g., AWS).
Added 5 days ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
…coding in languages including, but not limited to, C, C++, C#, Java, JavaScript/TypeScript, or Python OR equivalent…
Added 5 days ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
…coding in languages including, but not limited to, C, C++, C#, Java, JavaScript/TypeScript, or Python OR equivalent…
Added 5 days ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
…coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent…
Added 5 days ago
T
Applied Machine Learning Scientist I ATH# 5645 (Tabular Deep Learning Model Validation)
TD
Toronto, ON
- Full-time
Proficient in one or more scripting/programming languages such as Python, Java, Scala, Pyspark.
Added 5 days ago
SM
RQ11657 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer / Technical Lead with extensive experience in enterprise application development, Microsoft Dynamics 365, Power Platform, Azure, Dataverse, Java,…
Added 5 days ago
MI
Senior Business Analyst
Maarut Inc
Toronto, ON
- Contract
Technology stack : Microsoft Dynamics CRM (backoffice), MuleSoft (middleware) and Java/React (public facing portal)
Added 5 days ago
AS
Junior Full-Stack Software Developer (React/Node, Spring Boot/Java, MySQL, Azure
Apex Systems
Toronto, ON
- $30 to $35 USD / hour
- Contract
Our team is seeking an early-career Full Stack Developer who is passionate about building scalable web applications and learning modern software development practices. In this role, you'll…
Added 5 days ago
MI
Senior Software Developer (Healthcare)
Maarut Inc
Toronto, ON
- Contract
Senior-level hands-on experience developing Java and Spring Boot services and REST APIs, including use of the HAPI FHIR library to process FHIR R4 and DSTU2 resources.
Added 5 days ago
MI
DevOPS/Cloud Engineer (Healthcare) 7+ years of experience
Maarut Inc
Toronto, ON
- Contract
Develop and maintain AWS CDK applications in Java for repeatable provisioning of OCRE cloud infrastructure, configuration, permissions, monitoring, and deployment dependencies.
Added 5 days ago
AR
Senior Quality Assurance Analyst
Atlas-Apex Roofing Inc.
Toronto, ON · Greater Toronto Area, Canada
- $85,000 to $105,000 CAD / year
- Full-time
Programming or scripting languages such as Python, Java, or JavaScript.
Added 5 days ago
DW
Maximo Functional Analyst
DP World
Burnaby, BC
- Full-time
Working knowledge of Java/J2EE, SQL, PL/SQL, T-SQL, and Maximo automation scripts for analysis, troubleshooting, and collaboration with developers.
Added 5 days ago
A
Software Intern
Altera
Toronto, ON
- Full-time
Proficiency in at least one programming language such as C++, Python, or Java.
Added 5 days ago
E
MuleSoft Integration Developer
Experis
Calgary, AB
- Contract
We are looking for an experienced MuleSoft Integration Developer with strong expertise in MuleSoft Anypoint Platform, API development, and ESB-based integrations to design, develop, and…
Added 5 days ago
RA
Software Engineering Intern - Connected Systems (Summer 2027)
Rivian and Volkswagen Group Technologies
Remote, Canada
- $30 to $33.75 CAD / hour
- Internship
- Remote
Write clean, maintainable code in Python, Go, C++, or Java depending on the team
Added 5 days ago
RA
Software Engineering Intern - Applications (Summer 2027)
Rivian and Volkswagen Group Technologies
Remote, Canada
- $30 to $33.75 CAD / hour
- Internship
- Remote
Software Engineering Intern - Android Developer
Added 5 days ago
GR
Full Stack Engineer (Backend-Focused)
G&A Robot
Burnaby, BC
- Full-time
Design, build, and maintain backend services and APIs in C#, Java, or Kotlin
Added 5 days ago
SS
DevOps III, FME Flow
Safe Software
Canada
- Full-time
Experience with Web Application Development (e.g. Java, Javascript)
Added 5 days ago
T
Quality Engineer II
TD
Toronto, ON
- Full-time
Strong working knowledge of Java – Ability to write code/ functions for complex scenarios, integration points and supporting multiple technologies (legacy and digital) (5 years)
Added 5 days ago
C
AI Data Engineer
Citi
Mississauga, ON
- Full-time
Software Engineering: Develop production-grade applications and APIs using Python and/or Java. Build reusable services, microservices, and AI components.
Added 5 days ago
M
Software Engineer II (Backend _ Java)
Mastercard
Vancouver, BC
- Full-time
Software Engineer II (Backend _ Java)Who is Mastercard?

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

Apply About employer

Applications open in a new tab.

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

Apply About employer

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

Report this job