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Added 28 days ago
Senior Machine Learning Engineer
J&M Group
Toronto, ON
Full-time
We are looking for an experienced Senior Machine Learning Engineer to support the AI CoE s Machine Learning and Data Science initiatives.
Added 27 days ago
Senior Machine Learning Developer
BMO
Toronto, ON · BMOPLACE
Full-time
BMO is seeking a Senior Machine Learning Engineer to join our team in Toronto. This role is ideal for an experienced technology professional with expertise in Machine Learning, Python…
Added 27 days ago
Senior Full Stack Developer - AI & Developer Productivity
Royal Bank of Canada
Toronto, ON
Full-time
The Senior Full Stack Developer is a hands‑on engineer and pragmatic technical partner on the APT product team. You will design and build responsive Angular frontends, resilient Java/Spring…
Added 26 days ago
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada
Remote, Canada
Full-time · Remote
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 26 days ago
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada
Remote, Canada
Full-time · Remote
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 26 days ago
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada
Remote, Canada
Full-time · Remote
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 26 days ago
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada
Remote, Canada
Full-time · Remote
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 27 days ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
Design, build, and implement scalable data pipelines using Microsoft Fabric, including Azure Data Factory, PySpark, Spark SQL, and Python. Develop and maintain ETL/ELT processes to ingest,…
Added 1 month ago
Google Workspace Customer Engineer #116
Premier Cloud
Victoria, BC
$80,000 to $115,000 CAD / year
Full-time
Generative AI (Gemini Enterprise): Expertise in utilizing AI platforms to automate business operations, with a specific focus on agentic AI functionalities and the implementation of…
Added 1 month ago
GenAI Architect
Lantern
Vancouver, BC
Full-time
We are seeking a visionary Architect with deep expertise in Generative AI to lead the design and delivery of intelligent solutions using the Microsoft Azure AI stack. You will work closely…
Added 1 month ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
…you’ll help reinvent an industry using decades‑deep proprietary data and a modern tech stack, free from heavy legacy. Backed by full enterprise support, you’ll build reliable, explainable…
Added 21 days ago
Machine Learning Engineer - Financials
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
As a ML Engineer on the FIN Hyperautomation AI team, you will develop intelligent user experiences powered by advanced tools like (but not limited to) generative AI. You will work with…
Added 29 days ago
Consultant - Modernisation des applications | Consultant - Application Modernization, AWS Professional Services
Amazon
Montreal, QC
…notamment via les techniques de modernisation accélérées par l'IA générative (GenAI). Vous serez un acteur clé de la réussite des clients dans leur adoption du cloud, en apportant votre…
Added 29 days ago
Consultant senior - Modernisation des applications | Sr. Consultant - Application Modernization, AWS Professional Services
Amazon
Montreal, QC
…notamment via les techniques de modernisation accélérées par l'IA générative (GenAI). Vous serez un acteur clé de la réussite des clients dans leur adoption du cloud, en apportant votre…
Added 29 days ago
Technical Architect, Google
TMX Group
Toronto, ON
Full-time
Establish the governance model for generative AI usage within the tenant, ensuring enterprise data protection is actively maintained and AI models do not train on internal proprietary data.
Added 29 days ago
Software Engineer, Agent (Spanish speaking)
Sierra
Toronto, ON
$180,000 to $390,000 USD / year
Full-time
Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development
Added 29 days ago
Production Support
Capgemini
Montreal, QC
COBOL / Production Support Engineer (Deposit Systems)
Added 27 days ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Artefact
Montreal, QC
Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.
Added 1 month ago
Forward Deployed Engineer (Generative AI)
Tiger Analytics
Canada
Full-time
Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring…
Added 1 month ago
Software Engineer, Full-Stack Applications Associate Director (Ratings Technology)
Fitch Group, Inc.
Toronto, ON
Full-time
Software Engineer, Full-Stack Applications Associate Director (Ratings Technology) Fitch Ratings is seeking an experienced Full-Stack Software Engineer (Associate Director) to join our…
Added 1 month ago
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
Full-time
…leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our…
Added 26 days ago
Senior Quality Engineer
Ecolab Inc.
Calgary, AB
Full-time
The Senior Quality Engineer proactively drives quality into product design, manufacturing, and supplier processes while also leading complex customer‑facing quality issues, systemic failure…
Added 1 month ago
Senior Quality Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Starfield
Full-time
The Senior Quality Engineer proactively drives quality into product design, manufacturing, and supplier processes while also leading complex customer‑facing quality issues, systemic failure…
Added 1 month ago
GenAI Architect
Lantern
Calgary, AB · Edmonton, AB · Vancouver, BC · Toronto, ON
We are seeking a visionary Architect with deep expertise in Generative AI to lead the design and delivery of intelligent solutions using the Microsoft Azure AI stack. You will work closely…
Added 1 month ago
Backend AI Engineer
Nexxa.AI
Remote, Canada
Full-time · Remote
…model-serving pipelines, inference and orchestration layers, data pipelines, and the APIs and microservices that connect Generative AI, Computer Vision, and Machine Learning models to real…

Workday

Machine Learning Engineer - Financials

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

Pay: Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $128,000 - $192,000 CADAdditional CAN Location(s) Base Pay Range: $128,000 - $192,000 CAD
Job type: Full-time
Posting language: English
Posted: Sep 8, 2026

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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

Do you want to be part of the team which is reinventing Enterprise Financials for the agentic age? The Financials Hyper Automation AI team is a small, advanced team of ML engineers charged with re-envisioning and building the next generation of ERP Financial and Accounting systems. We have an entrepreneurial mindset with a focus on creating delightful, intelligent experiences, leveraging the state-of-the-art in AI as well as strong, proven techniques from conventional machine learning. Working closely with product managers, we build advanced prototypes as well as deploy full production-grade features to solve our customer’s most pressing business challenges. Our current areas of development include strong reasoning agents for complex financial workflows and agentic self-improvement.

About the Role

As a ML Engineer on the FIN Hyperautomation AI team, you will develop intelligent user experiences powered by advanced tools like (but not limited to) generative AI. You will work with other engineers to deliver ML solutions across Workday’s ML infrastructure, from training ML models to developing APIs, as well as managing the lifecycle of such products and services. You will be backed by Workday’s vast computing resources and rich datasets, to deliver transformative value to our customers.

Your specific responsibilities include:

Own exploration, design, implementation, and deployment of features.
The evaluation, scalability, and observability of these features.
Apply ML techniques, including LLMs and natural language understanding, to intelligently process business documents and, for example, automate critical customer workflows.
Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation.
Serve as a technical role model for more junior engineers

Sound like your kind of challenge?

About You

Basic Qualifications:

5+ years experience as a member of a data science, machine learning 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.
5+ years of professional experience with Python and supporting numeric libraries, with experience in shipping production code and models
5+ years of professional experience with cloud computing platforms (e.g. AWS, GCP, etc.)
Bachelor’s (Master’s or PhD preferred) degree in engineering, data/computer science, physics, math or equivalent.

Other Qualifications:

5+ years of professional experience in building information retrieval systems
5+ years of professional experience building scalable, production-level ML services on platforms such as Kubernetes.
5+ years of professional experience in ML and deep learning frameworks & toolkits, such as scikit-learn, Pandas, PySpark, Pytorch, TensorFlow.
3+ years of professional experience in developing with LLMs, RAG, and AI agents.
Strong understanding of statistical analysis, ML paradigms and algorithms, and natural language processing, with a focus for information retrieval and/or recommendation system use cases.
Professional experience in independently solving ambiguous, open-ended problems and technically leading a team.

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: $128,000 - $192,000 CADAdditional CAN Location(s) Base Pay Range: $128,000 - $192,000 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

The role involves designing, implementing, and deploying machine learning features to solve complex financial business challenges. You will work on the full lifecycle of ML products, from training models to managing production-grade services and APIs.

Requirements

Candidates must have at least 5 years of experience in machine learning engineering or data science, including production-level deployment. A bachelor's degree in a technical field is required, with proficiency in Python and cloud computing platforms.

Skills

Machine learning
Python
Generative AI
LLMs
RAG
Cloud computing
Kubernetes
Deep learning
PySpark
PyTorch
TensorFlow
Natural language processing
Statistical analysis
Information retrieval
Recommendation systems
API development

Benefits

Stock grants
Bonus plan
Flexible work

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Python
Generative AI
LLMs
RAG
Cloud Computing
AWS
GCP
Kubernetes
Deep Learning
Scikit-learn
Pandas
PySpark
PyTorch
TensorFlow
Natural Language Processing
Statistical Analysis
Information Retrieval
Recommendation Systems
ERP
Financial Systems
Agentic AI
API Development
Model Lifecycle Management
Data Science
Software Development
Enterprise Financials
Hyper Automation
Autonomous Agents
Orchestration Frameworks

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