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Jobs in Canada

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Added 15 mins ago
Identity & Access Management Engineer
Ardent SoftSol Inc.
Toronto, ON
Contract
We are seeking an experienced Identity & Access Management Engineer to lead the migration of approximately 100 applications from legacy SiteMinder and Nexus platforms to Okta Workforce…
Added 15 mins ago
Security Software Engineer
Actalent
Ottawa, ON
Contract
We're looking for a Security Software Engineer to help build and secure the systems that establish trust across devices, manufacturing environments, and cloud services. This role is ideal…
Added 30 mins ago
Maintenance Team Lead
BGIS
Pickering, ON
Full-time
Must meet enhanced security clearance requirements
Added 44 mins ago
Lead Data Engineer
AgileGrid Solutions
Canada
Full-time
…operating large-scale data solutions within distributed and cloud environments. Proficiency in SQL and Python is required, along with a solid understanding of data processing optimization…
Added 44 mins ago
Senior Java Software Engineer
KTek Resourcing
Montreal, QC
Contract
Lead the development and support of RESTful APIs, ensuring high performance and security.
Added 1 hour ago
Senior Software Engineer, Adaptive
Miovision
Remote, Canada
$130,000 to $170,000 CAD / year
Full-time · Remote
We are looking for an experienced, AI-first Senior Software Engineer to join our Adaptive team. Our Adaptive product operates at the cutting edge of real-time traffic signal optimization,…
Added 2 hours ago
Senior Staff Cloud Security Engineer | Operational Technology | Office of CISO
ServiceNow
AB · Alberta, CANADA
Full-time
The ServiceNow Security Organization (SSO) delivers world-class, innovative security solutions to reduce risk and protect the company and our customers. We enable our customers to migrate…
Added 4 hours ago
QA Engineer
Ontinue
Toronto, ON
Full-time
…Ontinue is on a mission to be the most trusted, 24/7, always-on security partner that empowers customers to embrace the future by using AI to operate more strategically, at scale, and with…
Added 4 hours ago
Data Engineering, Cloud Migration & Platforms Engineer
General Motors
Markham, ON
Full-time
The ideal candidate combines strong data engineering fundamentals with cloud platform engineering, automation, and production operations. They are comfortable working across architecture,…
Added 5 hours ago
DevOps Engineer
White Widget
MB · Back, MB
Full-time
Each engineer in White Widget takes responsibility over their code and projects. We endeavor to create code that’s clean with legibility, reusability, testability, and maintainability in…
Added 5 hours ago
QA Engineer
White Widget
MB · Back, MB
Full-time
…success of projects both internally and for clients. Each QA engineer at White Widget takes ownership of quality across the entire product lifecycle. We don't just test at the end. We're…
Added 8 hours ago
Senior AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
Full-time
At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring,…
Added 8 hours ago
Lead AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
Full-time
At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring,…
Added 10 hours ago
Senior Application Security Engineer
Nutrien
Saskatoon, SK
Full-time
The Senior Application Security Engineer is a senior technical role responsible for advancing security across the software development lifecycle (SDLC). Working closely with application…
Added 10 hours ago
Senior Application Security Engineer
Nutrien
Calgary, AB
Full-time
The Senior Application Security Engineer is a senior technical role responsible for advancing security across the software development lifecycle (SDLC). Working closely with application…
Added 10 hours ago
Senior Technical Program Manager
CNN
Ottawa, ON · Kanata, ON
Full-time
Evaluate system architecture, service boundaries, API contracts, event flows, data models, cloud infrastructure, security constraints, reliability concerns, and integration risks well…
Added 11 hours ago
Development Team Lead
UniSysTech Consulting
Toronto, ON · Greater Toronto Area, Canada
Other
Architecture & Hands-On Engineering: Drive the design and development of modern cloud-native architectures using Node.js and AWS Serverless components, maintaining an ~80/20 balance between…
Added 11 hours ago
Senior Product Designer - Okta Privileged Access
Okta
Toronto, ON
…servers, service accounts, and secrets, whether on-prem or cloud - without compromising user experience. That last part is your job. Our users are IT and security admins, infrastructure…
Added 12 hours ago
Senior Azure Platform / DevOps Engineer
Makai Labs
Canada
Full-time
We build and run cloud platforms for our clients. A lot of the time that means standing up a reusable Terraform foundation and adapting it for each client and environment. You'd own these…
Added 12 hours ago
Application Development - Senior IAM Systems Engineer - Advanced
Raise
Toronto, ON
Full-time
Experience with cloud security, identity security, or modern authentication architectures.
Added 12 hours ago
Senior Data Platform Engineer - Zonda - Toronto, Ontario
CoStar
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
The role is not primarily focused on building individual business pipelines or administering enterprise cloud infrastructure. It owns Data Platform infrastructure and automation within the…
Added 12 hours ago
Principal Cloud & AI Apps Solution Engineer
Microsoft
Toronto, ON
Full-time
…applications and leading complex customer transformations? As a Cloud & AI Apps Solution Engineer, you will bring deep technical expertise in agentic AI, AI application architecture, and…
Added 12 hours ago
Facility Manager, Building Operations, BC
Bell
Kamloops, BC
…deliver advanced solutions in areas such as IoT, Mobility/5G, Cloud, Cyber Security, Voice, Collaboration & Contact Centre and Internet & Private…
Added 13 hours ago
Senior Director, Data Center Facilities Development
Oracle
Canada
$193,600 to $414,400 USD / year
Full-time
The Oracle Cloud Infrastructure (OCI) Data Center Development organization leads the planning, design, and delivery of the next generation of Oracle’s global data center portfolio. We are…
Added 13 hours ago
Cloud Analyst
Sun Life Québec
Montreal, QC
Full-time
Support Cloud Audit and Risk and compliance requirements from partnering with Security and governance teams.

Workday

Sr Associate Machine Learning Engineer

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

Pay: Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $100,000 - $150,000 CADAdditional CAN Location(s) Base Pay Range: $100,000 - $150,000 CAD
Job type: Full-time
Posting language: English
Posted: Sep 29, 2026

Apply About employer

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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

It's fun to work in a company where people truly believe in what they're doing. At Workday, we're committed to bringing passion and customer focus to the business of enterprise applications. We work hard, and we're serious about what we do. But we like to have a good time, too. In fact, we run our company with that principle in mind every day: One of our core values is fun.

Would you like to be part of an innovative, agile force architecting intelligent agents that will revolutionize our customers' workday? Join the AI Agent Engineering team, where we're pioneering cutting-edge HR & Finance AI Agents that deeply integrate within the Workday suite. Be part of an innovative, agile force architecting intelligent agents that will revolutionize our customers' workday.

About the Role

We are seeking highly skilled Machine Learning Engineers to contribute to a cross-functional team building transformative AI agents for HR & Finance. This role is crucial in implementing tooling strategies, staying informed about industry trends, and ensuring our AI-driven solutions integrate effectively within the Workday stack. You will be responsible for implementing AI frameworks, contributing to agent workflow orchestration, utilizing LLMs, agent frameworks, and enterprise AI to design and develop scalable, reliable and trusted AI agents for both HR and Finance.

Key Responsibilities:

Collaborate with a team of innovative engineers to deliver AI-powered agents that integrate deeply into HR and Financial workflows, accelerating intelligent decision making.
Develop relationships with software engineers, machine learning engineers, and data scientists on partner teams
Apply understanding of the AI system lifecycle, including problem definition, data acquisition, model training, system integration, and validation.
Implement and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance.
Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation.
Work with product, engineering, and data science teams to implement AI-based automation solutions that enhance HR and financial operations.
Collaborate with external AI vendors, cloud providers, and open-source communities to integrate best-in-class technologies into our AI stack.
Contribute to establishing monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time.

About You

Basic Qualifications:

3+ years experience as a member of a data science, machine learning / AI engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
2+ years of professional experience with Python, Java, C++, etc. and supporting numeric libraries, with experience in shipping production code and models
1+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow, Huggingface
1+ years of professional experience in building services to host machine learning models in production at scale with cloud computing platforms (e.g. AWS, GCP, etc.)
1+ years of professional experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent

Other Qualifications:

Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation
Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases
Professional experience in independently solving ambiguous, open-ended problems and technically leading teams
Excellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholders
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, etc.

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: $100,000 - $150,000 CADAdditional CAN Location(s) Base Pay Range: $100,000 - $150,000 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.

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More about this job

Responsibilities

Collaborate with cross-functional teams to design, develop, and integrate scalable AI agents into HR and Finance workflows. Implement AI frameworks, manage model lifecycles, and ensure performance through continuous monitoring and feedback loops.

Requirements

Requires 3+ years of experience in machine learning or AI engineering with proficiency in Python, Java, or C++. Candidates must have a bachelor's degree or higher in a technical field and experience with LLMs and cloud-based model deployment.

Skills

Machine Learning
Python
Java
C++
Pytorch
TensorFlow
Huggingface
Cloud Computing
AWS
GCP
Large Language Models
Natural Language Processing
Statistical Analysis
Agent Frameworks
RAG
Software Engineering

Benefits

Stock grants
Bonus plan
Flexible work

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
AI Engineering
Python
Java
C++
Pytorch
TensorFlow
Huggingface
AWS
GCP
Large Language Models
RAG
Autonomous Agents
Natural Language Processing
Statistical Analysis
HR Tech
Finance Tech
Cloud Computing
Software Development
Data Science
Orchestration Frameworks
Model Training
System Integration
Enterprise AI
Graph Neural Networks
Agile
Product Development
Mentoring
Collaboration
Automation

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