Jobs in Canada

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Added 21 days ago
TS
Analyst – Front Office Application Engineer
TD Securities
Toronto, ON
- Full-time
Partner with senior developers and quantitative teams to deliver scalable and maintainable software solutions.
Added 21 days ago
MA
Tech Lead - Snowflake & DBT
Mitra AI
Canada
- Contract
Added 21 days ago
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Senior Java Developer (with LLM expertise)
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 21 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 21 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 21 days ago
M
Senior Java Developer (with LLM expertise)
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 21 days ago
T
Engineer I
TD
Toronto, ON
- Full-time
We are looking for a motivated Senior Java Developer (Engineer I) to join our Trading Risk Warehouse platform team within TD Securities. The successful candidate will contribute to the…
Added 21 days ago
E
Tests and Validations Specialists
EERS
Montreal, QC
- Full-time
…involved in all phases of product design. Reporting to the Senior Hardware Design Engineer, and under supervision of the EMC specialist, we expect them to perform a variety of tasks ranging…
Added 21 days ago
L
Data Engineer
Luxoft
Canada
- Full-time
…into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, PostgreSQL, Snowflake and AWS. We're looking for an autonomous data engineer to strengthen our data foundation…
Added 21 days ago
RB
Senior Manager, Engineer & Build
Royal Bank of Canada
Toronto, ON
- Full-time
As a Senior Manager, Engineering & Build (Hands-On Leader), you will lead an engineering team while contributing ≈50% hands-on to design and deliver cloud-native, governed, and reliable…
Added 21 days ago
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Développeur full-stack senior
Jobgether
Canada
- $120,000 to $145,000 CAD / year
- Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Full-Stack Developer based in Canada.
Added 21 days ago
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Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
As a Senior Software Engineer on the Excel Agent team, you will design and deliver end-to-end features that combine Excel capabilities with agentic AI. You will own technical areas spanning…
Added 21 days ago
T
Applied Machine Learning Scientist I ATH# 5645 (Tabular Deep Learning Model Validation)
TD
Toronto, ON
- Full-time
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.
Added 21 days ago
BT
IT & Innovation Consultant, SR&ED
Baker Tilly Canada
Windsor, ON
- Full-time
Draft clear technical narratives and supporting project descriptions for review by senior team members.
Added 21 days ago
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Business Intelligence Specialist - Oracle
Bevertec
Toronto, ON
- $90 to $95 CAD / hour
- Contract
Public Sector Experience: must have
Added 21 days ago
AT
Senior Data Engineer
Arkhya Tech Inc.
Toronto, ON
- Contract
Must have: SQL+ Datawarehouse+ Banking domain
Added 21 days ago
MI
DevOPS/Cloud Engineer (Healthcare) 7+ years of experience
Maarut Inc
Toronto, ON
- Contract
Senior-level experience building GitHub Actions workflows for application and infrastructure deployment, environment promotion, approvals, testing, rollback, and secure authentication to…
Added 21 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
We are seeking a detail-oriented and experienced Senior Quality Assurance (QA) Analyst to join our team. The successful candidate will play a key role in ensuring the quality, reliability,…
Added 21 days ago
S
Senior Full Stack Gen AI Engineer/Technical Engagement Manager
Straive
Calgary, AB
- Full-time
We are seeking a Senior Full Stack AI Engineer who can combine strong hands-on software engineering with technical engagement and project delivery leadership. The successful candidate will…
Added 21 days ago
TH
SENIOR ANALYST PRICING CAN
The Home Depot Canada
Toronto, ON
- Full-time
The Senior Analyst, Pricing supports The Home Depot’s Merchandising organization by executing analytical work, generating insights, and contributing to pricing strategy for a defined…
Added 21 days ago
TH
analyste principal, Établissement des prix
The Home Depot Canada
Toronto, ON
- Full-time
The Senior Analyst, Pricing supports The Home Depot’s Merchandising organization by executing analytical work, generating insights, and contributing to pricing strategy for a defined…
Added 21 days ago
Agentic Analytics Engineer
Opendoor
Toronto, ON
As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a…
Added 21 days ago
D
Data Engineer
DarkVision
North Vancouver, BC
- $70,000 to $110,000 CAD / year
Strong proficiency in Python for data manipulation and analysis.
Added 21 days ago
Senior Mechanical Engineer
DarkVision
North Vancouver, BC
DarkVision, part of Koch Engineered Solutions, is seeking a talented and experienced Senior Mechanical Engineer to join our team and contribute to the development of our state-of-the-art…
Added 21 days ago
ED
Manager, Risk Quantification - EN 071
Export Development Canada | Exportation et développement Canada
Montreal, QC
- $112,006 to $149,341 CAD / year
- Full-time
Export Development Canada operates in a hybrid work environment, with a current requirement of three in-office days per week

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 on td.wd3.myworkdayjobs.com About employer

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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

Apply on td.wd3.myworkdayjobs.com 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

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Work requirements

Jobs in Canada