Jobs in Canada

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Added 4 hours ago
CF
Sr. Principal Program Lead, Digital Transformation & Technology
Chick-fil-A Frederick North
Mississauga, ON
- Full-time
Serves as the advocate for Canada-specific needs to influence Chick-fil-A standards and global applications.
Added 4 hours ago
RB
Senior Relationship Manager Agriculture, Commercial Financial Services
Royal Bank of Canada
Morden, MB
- Full-time
…to deliver solutions specific to individual needs. This is a senior role in which your highly developed experience with financial analysis, credit, and client acquisition relationship takes…
Added 6 hours ago
PB
Application Analyst - Intermediate
Phoenix Business Consulting (Intelligent Enterprise)
AB · Edmonton, AB
- Full-time
" Seek the best technical design solution that respects budget and timeline. Advocate the re-use of existing components/frameworks.
Added 6 hours ago
PB
Application Analyst - Intermediate
Phoenix Business Consulting (Intelligent Enterprise)
AB · Edmonton, AB
- Full-time
" Seek the best technical design solution that respects budget and timeline. Advocate the re-use of existing components/frameworks.
Added 6 hours ago
Senior Product Enablement Developer, Billing, Google Cloud
Google
Waterloo, ON
Influence product direction and advocate for customer needs by translating complex technical challenges into actionable strategies for cross-functional teams like Product Management and…
Added 8 hours ago
RE
Senior Product Manager - Lifecycle & Growth (Apex Legends)
Respawn Entertainment
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
As a Senior Product Manager on Apex Legends, you will own how we reach players, bring them back, and keep them playing, across in-game messaging, email, web and creator channels.
Added 10 hours ago
Senior Product Manager - Lifecycle & Growth (Apex Legends)
Electronic Arts
Vancouver, BC
As a Senior Product Manager on Apex Legends, you will own how we reach players, bring them back, and keep them playing, across in-game messaging, email, web and creator channels.
Added 11 hours ago
W
Senior Machine Learning Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Drive Technical Excellence: Establish and advocate for engineering best practices, robust MLOps processes, and highly optimized code.
Added 12 hours ago
CC
Senior Manager New Business Development, Corporate Partnerships
Canadian Cancer Society
Toronto, ON
- Full-time
Job Title: Senior Manager New Business Development, Corporate Partnerships
Added 13 hours ago
EI
Senior Technical Specialist - Long Haul Trucking & Cargo
Echelon Insurance
Mississauga, ON
- Full-time
Act as a senior claims representative during customer meetings, broker reviews and strategic account discussions
Added 14 hours ago
T
Site Reliability Engineer II
TD
Toronto, ON
- Full-time
Be a performance test advocate and advisor for the performance tools and frameworks that serve as a model for others with regard to quality, scalability, operability, maintainability, etc
Added 14 hours ago
SL
Director, Global Brand and Consumer Insights
Sun Life
Toronto, ON · Sun Life Toronto One York
- Full-time
…insights measurement strategy. The Director will partner with senior leaders across Brand, Marketing, CX and the business to identify critical business questions, translate consumer and…
Added 14 hours ago
E
Senior Manager, Data Science & Analytics
eBay
Toronto, ON
- Full-time
We are seeking an inspiring Senior Manager, Data Science & Analytics to lead our dynamic team in San Jose. In this role, you will be a technical leader with vision and a domain pioneer. You…
Added 15 hours ago
B
KYC Client Enablement Lead/Capital Markets/Fenergo
BeachHead
Toronto, ON
- $65.22 to $86.96 CAD / hour
- Contract
…onboarding, periodic refresh activities, and client outreach. This senior leadership opportunity offers the chance to manage an onshore team, oversee a large offshore contractor base, and…
Added 15 hours ago
E
Portfolio Manager
eCapital
Barrie, ON
- Full-time
The Portfolio Manager acts as a trusted advisor to clients and an internal advocate for portfolio success, balancing exceptional client experience with prudent risk management. This role…
Added 15 hours ago
Senior Technical Specialist - Long Haul Trucking & Cargo
CAA Club Group
Mississauga, ON
Act as a senior claims representative during customer meetings, broker reviews and strategic account discussions
Added 16 hours ago
Technical Account Manager Prin
Dayforce
Canada
Serve as an objective customer advocate within the business, influencing outcomes while managing customer expectations.
Added 16 hours ago
B
Mortgage Specialist
BMO
Calgary, AB
- Full-time
Serves a customer advocate during application and processing activities.
Added 16 hours ago
B
Mortgage Specialist
BMO
Moncton, NB
- Full-time
Serves a customer advocate during application and processing activities.
Added 16 hours ago
N
Concepteur(trice) Technique Senior | Senior Technical Designer
NBCUniversal
Montreal, QC
- Full-time
En tant que Concepteur(trice) Technique Senior, vous prendrez en charge des fonctionnalités de gameplay de leur conception jusqu’au niveau de finition final, en combinant de solides…
Added 18 hours ago
N
Concepteur(trice) Technique Senior | Senior Technical Designer
NBCUniversal
Montreal, QC
- Full-time
En tant que Concepteur(trice) Technique Senior, vous prendrez en charge des fonctionnalités de gameplay de leur conception jusqu’au niveau de finition final, en combinant de solides…
Added 20 hours ago
E
Senior Software Engineer in Test
EngRadar
Toronto, ON
- Full-time
Be a strong customer advocate with a strong quality DNA
Added 20 hours ago
R
Senior Relationship Manager Agriculture, Commercial Financial Services
RBC
Morden, MB
- Full-time
…to deliver solutions specific to individual needs. This is a senior role in which your highly developed experience with financial analysis, credit, and client acquisition relationship takes…
Added 22 hours ago
A
Senior Product Manager
Aviso
Toronto, ON
- $120,000 to $135,000 CAD / year
- Full-time
Communicate product direction, evidence, trade-offs and results to stakeholders; advocate for the customer-centric product model, demonstrate its value through incremental wins, and help…
Added 22 hours ago
Senior Software Engineer in Test
Okta
Toronto, ON
Be a strong customer advocate with a strong quality DNA

Senior Machine Learning Engineer

Vancouver, BC, Canada
Canada, BC, Vancouver, Canada

Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $156,000 - $234,000 CADAdditional CAN Location(s) Base Pay Range: $156,000 - $234,000 CAD · Full-time

Apply on workday.wd5.myworkdayjobs.com About employer

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Job details

Pay: Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $156,000 - $234,000 CADAdditional CAN Location(s) Base Pay Range: $156,000 - $234,000 CAD
Job type: Full-time
Posting language: English
Posted: Nov 9, 2026

Original job description

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

At Workday AI Team, we are building the intelligence layer that powers the future of work for millions of global users. Our AI organization is responsible for seamlessly embedding cutting-edge machine learning, Generative AI, and autonomous agents directly into Workday's core platform - optimizing the HR and financial operations of some of the world's largest enterprises. We don't just run sandbox experiments; we build robust, production-grade AI solutions that solve real business challenges at global scale. As part of our team, you will operate at the intersection of deep applied research and scalable engineering. Whether we are developing sophisticated LLM-powered agents, advancing our next-generation AI engine (Workday Illuminate), or engineering highly precise information retrieval and recommendation systems, we leverage Workday's massive, clean, and exclusive datasets to deliver features that accelerate human workflows. We are a highly collaborative, cross-functional group of product leaders, data scientists, and ML engineers committed to the principles of Responsible AI. If you are a curious, courageous builder who wants to transition emerging AI capabilities into high-impact enterprise realities, you'll find a home with us.

About the Role

What you will do:

Architect & Build: Design, develop, and deploy scalable machine learning models and AI systems (ranging from predictive models to Generative AI and LLM-powered agents) that directly impact Workday's core enterprise applications.
End-to-End Ownership: Take full ownership of the ML lifecycle, including data extraction, feature engineering, model training, deployment, optimization, and continuous monitoring in a high-scale production environment.
Cross-Functional Collaboration: Partner closely with Data Scientists, Software Engineers, Product Managers, and UX Designers to translate complex business problems into robust AI solutions.
Drive Technical Excellence: Establish and advocate for engineering best practices, robust MLOps processes, and highly optimized code.
Mentorship & Leadership: Guide and mentor junior engineers, conduct code and architecture reviews, and help shape the technical roadmap for your team.
Champion Responsible AI: Ensure all models adhere to Workday's strict standards for data privacy, security, fairness, and ethical AI practices.

About You

Basic Qualifications (Sr Machine Learning Engineer)

Experience: 7+ years of industry experience in software engineering with a strong focus on applied machine learning, deep learning, or NLP.
Programming Mastery: Expert-level proficiency in Python and strong software engineering fundamentals (data structures, algorithms, object-oriented design).
ML Frameworks: Deep hands-on experience with industry-standard machine learning and deep learning libraries (e.g., PyTorch, TensorFlow, Scikit-learn, Hugging Face).
Production Deployment: Proven track record of taking ML models out of research/notebook environments and deploying them into scalable, high-traffic production systems.
Cloud & Infrastructure: Solid experience with cloud computing platforms (AWS or GCP) and modern infrastructure tools (Docker, Kubernetes).
Education: Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related highly quantitative field (or equivalent practical experience).

Basic Qualifications (Machine Learning Engineer)

Experience: 5+ years of industry experience in software engineering with a strong focus on applied machine learning, deep learning, or NLP.
Programming Mastery: Expert-level proficiency in Python and strong software engineering fundamentals (data structures, algorithms, object-oriented design).
ML Frameworks: Deep hands-on experience with industry-standard machine learning and deep learning libraries (e.g., PyTorch, TensorFlow, Scikit-learn, Hugging Face).
Production Deployment: Proven track record of taking ML models out of research/notebook environments and deploying them into scalable, high-traffic production systems.
Cloud & Infrastructure: Solid experience with cloud computing platforms (AWS or GCP) and modern infrastructure tools (Docker, Kubernetes).
Education: Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related highly quantitative field (or equivalent practical experience).

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $156,000 - $234,000 CADAdditional CAN Location(s) Base Pay Range: $156,000 - $234,000 CAD

Our Approach to Flexible Work

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.

If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Apply on workday.wd5.myworkdayjobs.com About employer

More about this job

Responsibilities

Architect, develop, and deploy scalable machine learning models and AI systems, including LLM-powered agents, for core enterprise applications. Take full ownership of the ML lifecycle while collaborating with cross-functional teams to drive technical excellence and responsible AI practices.

Requirements

Requires 5-7+ years of industry experience in software engineering with a strong focus on applied machine learning, deep learning, or NLP. Candidates must possess expert-level proficiency in Python and hands-on experience with cloud infrastructure and ML frameworks.

Skills

Python
Machine Learning
Deep Learning
NLP
PyTorch
TensorFlow
Scikit-learn
Hugging Face
AWS
GCP
Docker
Kubernetes
MLOps
Data Structures
Algorithms
Object-oriented design

Benefits

Stock grants
Bonus plan
Flexible work

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Generative AI
LLM
Python
PyTorch
TensorFlow
Scikit-learn
Hugging Face
AWS
GCP
Docker
Kubernetes
MLOps
Data Science
Natural Language Processing
Software Engineering
Enterprise Software
Responsible AI
Predictive Modeling
Information Retrieval
Recommendation Systems
Cloud Computing
Algorithms
Data Structures
Object-oriented design
Production-grade AI
Workday Illuminate
Autonomous Agents
Feature Engineering

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Work requirements

Jobs in Canada