Find work in Canada.

511,073 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 12 mins ago
SC
Security and Compliance Analyst
samdesk Canada Inc.
Edmonton, AB
- Full-time
…provide coverage across our compliance obligations and free up senior team members for larger initiatives such as ISO 27001. You’ll also build AI-assisted workflows that let a small team…
Added 28 mins ago
SM
RQ11255 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a Senior Systems Testing/QA Specialist with extensive experience in software quality assurance, commercial off-the-shelf (COTS) application testing, functional and…
Added 28 mins ago
SM
RQ11599 – Technology Architect – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Technology Architect / Database Administrator with extensive experience in enterprise technology architecture, Oracle database administration, middleware operations,…
Added 28 mins ago
SM
RQ11575 – Data Architect/Modeller – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Architect/Modeller with extensive experience in enterprise data architecture, conceptual, logical, physical, common, canonical, domain, and semantic data…
Added 28 mins ago
SM
RQ11485 – Data Architect/Modeller – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Architect/Modeller with extensive experience in data architecture, data modelling, business requirements analysis, relational database management systems…
Added 28 mins ago
IC
Senior Compiler Engineer - Triton and DSLs
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
…generation, optimization, runtime integration, and performance…
Added 28 mins ago
C
Principal Engineer - Android
COSMO
Remote, Canada
- $120,000 to $140,000 CAD / year
- Full-time
- Remote
…technical direction for our Android platform and raise the engineering bar across the organization. As the most senior individual contributor on the team, you will own the hardest…
Added 58 mins ago
A
Senior Software Development Engineer in Test (Kubernetes)
Akamai
Canada
- $102,500 to $184,500 CAD / year
As a Senior Software Development Engineer in Test, you will be responsible for:
Added 1 hour ago
A
Senior Manager, Quality Assurance Services
ATB
Calgary, AB · Edmonton, AB
- Full-time
As ATB’s next Senior Manager, QA Services, you will have a unique opportunity to lead, manage and coach the Salesforce QA Services team to deliver world class experiences to our team…
Added 1 hour ago
W
Senior Mechanical Engineer
Worley
Vancouver, BC
- Full-time
Worley is seeking a Senior Material Handling Engineer / Project Manager to provide senior-level mechanical engineering, materials handling, and project management expertise within the…
Added 1 hour ago
W
Senior Electrical Designer
Worley
Vancouver, BC
- Full-time
…across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and…
Added 1 hour ago
W
Senior Electrical Engineer
Worley
Vancouver, BC
- Full-time
…across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and…
Added 1 hour ago
M
Customer Experience Engineer / M365
Microsoft
Toronto, ON
- Full-time
The CE3 M365 Advanced Cloud Engineering Team (ACE) team is the leading Engineering touch point with our Strategic Customers for the M365 Platform. We are a diverse global team of highly…
Added 1 hour ago
EC
IT Operations US & Canada Business Relationship Manager
Eaton Corporation
Airdrie, AB · Calgary, AB · Burlington, ON
- Full-time
…U.S. and Canada operations across manufacturing, supply chain, engineering, quality, commercial, and service…
Added 1 hour ago
EC
Développeur(euse) logiciel senior / Senior Software Developer
Eaton Corporation
Brossard, QC
- Full-time
…actuellement à la recherche d’un(e) développeur(euse) logiciel(le) senior pour se joindre à notre équipe des systèmes de contrôle des appareils…
Added 1 hour ago
PG
Production Supervisor
Pangeo Group
Vaughan, ON
- $70,000 to $90,000 CAD / year
- Full-time
Monitor and adjust die casting machine conditions during production to keep processes stable; work with Process Engineering to set, validate and optimize machine parameters.
Added 1 hour ago
PM
Lead Software Engineer – Application Security & Architecture
Prospect Markets
Vancouver, BC
- Full-time
Prospect Markets is hiring a senior engineer to lead technology initiatives across our platform. You'll bring deep application security and software architecture expertise to a team…
Added 1 hour ago
BH
Senior Solution Architect
BC Hydro
Burnaby, BC
- $131,100 to $165,800 CAD / year
- Full-time
Bachelor’s degree in Computer Science, Engineering, or equivalent.
Added 1 hour ago
P
Senior Accountant
Plooto
Canada
- Full-time
…workflows, move money, and reconcile with their accounting…
Added 1 hour ago
CC
Operations Manager
Carlson Construction Group
North Vancouver, BC
- $140,000 to $160,000 CAD / year
- Full-time
Partner with senior leadership to influence strategy, improve performance, and support the continued growth of the organization.
Added 1 hour ago
CS
Program Manager, Data and Agri-food Standards/ Responsable de Programme, Normes Relatives aux Données et au Secteur Agroalimentaire
Canadian Standards Association
Calgary, AB · Ottawa, ON · Toronto, ON · Montreal, QC
- $116,230 to $152,555 CAD / year
- Full-time
…of our mission for nearly one hundred years: from the first engineering standard for railway bridges developed in 1919, to more than 3,500 standards, codes & related products…
Added 1 hour ago
CS
Senior Solution Architect Workday , HCM & Financials
Canadian Standards Association
Toronto, ON
- Full-time
…of our mission for nearly one hundred years: from the first engineering standard for railway bridges developed in 1919, to more than 3,500 standards, codes & related products…
Added 1 hour ago
CS
Senior Technical Architect, Application Development & Support
Canadian Standards Association
Toronto, ON
- Full-time
…of our mission for nearly one hundred years: from the first engineering standard for railway bridges developed in 1919, to more than 3,500 standards, codes & related products…
Added 1 hour ago
CS
Manager, Strategic Initiatives - Energy Systems Standards (Petroleum & Natural Gas / Nuclear)
Canadian Standards Association
Calgary, AB
- $116,230 to $152,555 CAD / year
- Full-time
…of our mission for nearly one hundred years: from the first engineering standard for railway bridges developed in 1919, to more than 3,500 standards, codes & related products…
Added 1 hour ago
CS
Senior Systems Analyst, Help Desk Manager & End Point Support
Canadian Standards Association
Toronto, ON
- Full-time
…of our mission for nearly one hundred years: from the first engineering standard for railway bridges developed in 1919, to more than 3,500 standards, codes & related products…

Toast

Senior Consultant, ML/AI Engineer, Data & AI

Vancouver, BC, Canada

$77,000 to $102,000 USD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $77,000 to $102,000 USD / year
Job type: Full-time
Apply by: Nov 26, 2026
Experience: 3+ years of professional experience in machine learning, data science, AI engineering, or a related field, with a track record of delivering production ML solutions
Posting language: English
Posted: Oct 27, 2026

Original job description

Job Description

Toast is recruiting on behalf of a global professional services firm with a large Canadian presence and thousands of professionals across the country, for a Senior Consultant, ML/AI Engineer to join its Data & AI practice in Vancouver. The firm helps some of Canada’s largest organizations solve complex business challenges, and its Data & AI team builds and scales machine learning and generative AI solutions for clients across industries. In this hands-on, client-facing role, you will turn advanced analytics, ML, and GenAI use cases into secure, production-ready solutions across on-prem and cloud environments, with a focus on Azure alongside GCP and AWS.

Responsibilities

Partner with clients to understand their business problems and identify where AI and advanced analytics can make an impact
Translate business and analytical requirements into end-to-end ML/AI solution designs
Carry out ML/AI engineering work including exploratory data analysis, data preparation, and model development (forecasting, classification, recommendation, anomaly detection) using Python and frameworks such as scikit-learn, TensorFlow, PyTorch, Azure ML Studio, and Databricks MLflow
Build and optimize AI and GenAI solutions using platforms such as AI Foundry, GCP Vertex AI, AWS SageMaker, and Bedrock
Operationalize AI/ML pipelines using MLOps best practices, including model deployment, versioning, CI/CD, automated testing, and monitoring
Implement model monitoring, performance tuning, drift detection, and retraining strategies in production
Work with data engineers to ensure reliable, scalable data pipelines that support model training and inference
Apply responsible AI principles including explainability, bias detection, model governance, and security and privacy compliance
Support client workshops, technical discussions, and stakeholder presentations on AI strategy, solution design, and implementation

Requirements

University degree in computer science, engineering, data science, mathematics, or a related field
3+ years of professional experience in machine learning, data science, AI engineering, or a related field, with a track record of delivering production ML solutions
Strong Python skills for data analysis, machine learning, and model development
Hands-on experience with ML frameworks and platform tools such as scikit-learn, TensorFlow, PyTorch, Azure ML Studio, and Databricks MLflow
Solid understanding of ML algorithms, statistics, model evaluation, and feature engineering
Experience designing and building end-to-end ML pipelines, from data preprocessing and training through validation, deployment, and monitoring
Practical MLOps experience including CI/CD, model versioning, experiment tracking, and automated retraining
Experience deploying ML models to Azure, AWS, or GCP with an understanding of cloud-native architecture and security principles
Experience with generative AI, LLMs, prompt engineering, or retrieval-augmented generation (RAG)
Strong consulting and communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
Proven ability to collaborate within cross-functional, multi-disciplinary teams

Nice to haves

Familiarity with big data or distributed processing frameworks such as Spark is considered an asset
Experience fine-tuning foundational models would be a plus
Cloud AI/ML certifications such as Azure AI Engineer Associate, AWS Machine Learning Specialty, Google Professional ML Engineer, Databricks ML Engineer Associate, or Databricks Generative AI Engineer would be a plus

Benefits

Compensation listed on the posting is for base salary. Total compensations inludes base salary + annual bonuses.
A comprehensive total rewards program covering health, wellness, and career support
Put AI into production for some of Canada’s largest organizations, with your models shaping real decisions in forecasting, risk, and customer experience
Build hands-on depth across all three major clouds (Azure, GCP, AWS) and the latest GenAI platforms in a single role
Help set the standard for responsible AI in Canada by building explainability, bias detection, and governance into every solution you ship
Grow your career inside a firm that supports learning at every stage, with room to move from engineering into AI strategy and client leadership
Application Review

Submit your application, including your resume and cover letter, through our online portal. Our team will carefully review your qualifications and experiences. We take pride in responding promptly, so if your application aligns with our current opportunities, you’ll hear back from us with next steps. Your journey with Toast begins here, and we’re excited to see what you bring to the table!

Vetting Call

If your application is successful, we’ll schedule a vetting call with a member of the Toast team. This 30-45 minute informal conversation is designed for us to get to know you better and assess your skills. Be prepared to discuss your past projects, the challenges you’ve tackled, and the impact you’ve made. This is your chance to shine and show us why you’re a great fit for the roles we offer.

Profile Creation

Once you’ve impressed us in the vetting call, we’ll create an unbiased profile that highlights your experience while minimizing common biases. Instead, we focus on your skills, industry experience, and the impact you’ve made. This way, your profile reflects your true potential and accomplishments.

Client Submission

After crafting your unbiased profile, we submit it to our trusted clients. We work closely with these clients to ensure they understand the value you bring. Throughout their interview process, we remain by your side, providing support and guidance. Our goal is to help you navigate the hiring process smoothly and confidently, ensuring you have the best chance to secure a role that fits your skills and aspirations.

Apply About employer

More about this job

Responsibilities

Partner with clients to translate business needs into secure, production-ready machine learning and generative AI solutions, including data preparation, model development, and deployment across Azure, GCP, and AWS. Build and operate MLOps pipelines, monitor and improve models in production, apply responsible AI practices, and support client workshops and stakeholder discussions.

Requirements

Requires a university degree in computer science, engineering, data science, mathematics, or a related field, plus at least three years of relevant professional experience delivering production machine learning solutions. Candidates need strong Python and ML skills, end-to-end pipeline and MLOps experience, cloud deployment knowledge, familiarity with generative AI, and strong consulting, communication, and collaboration abilities.

Skills

Python
Machine Learning
Generative AI
Scikit-Learn
TensorFlow
PyTorch
Azure Machine Learning
Databricks MLflow
MLOps
Cloud Computing
Model Deployment
CI/CD
Model Monitoring
Feature Engineering
Retrieval-Augmented Generation
Responsible AI

Benefits

Health And Wellness Support
Career Support
Annual Bonuses
Learning And Career Development

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Generative AI
Python
Scikit-Learn
TensorFlow
PyTorch
Azure Machine Learning
Databricks MLflow
AI Foundry
Google Vertex AI
AWS SageMaker
Amazon Bedrock
MLOps
CI/CD
Model Versioning
Experiment Tracking
Automated Testing
Model Monitoring
Drift Detection
Retraining
Feature Engineering
Forecasting
Classification
Recommendation Systems
Anomaly Detection
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
Responsible AI

Report this job