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Added 12 mins ago
SI
SAP iXp Intern - Change Management Engineering
SAP IT Business Systeme
Vancouver, BC
- $26 to $38 CAD / hour
- Internship
You'll work on the infrastructure powering SAP Cloud for Analytics - contributing to real operations and improvements from day one.
Added 12 mins ago
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Proposal Procurement Lead (North America)
Veolia Environnement SA
Oakville, ON
- Full-time
Maintain and enhance the NORAM Price Book with current supplier and subcontractor pricing data, synthesizing pricing analytics from global and regional categories.
Added 27 mins ago
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Quality Systems Specialist
SCIEX
Vaughan, ON
- Full-time
Added 27 mins ago
TU
Bioinformatics Specialist
The University of British Columbia
Vancouver, BC
- $8,810.92 to $13,202.5 CAD / month
- Full-time
Added 27 mins ago
MC
Chef de l’engagement du client / Customer Engagement Manager
Merck Canada
Kirkland, QC
- Full-time
…Marketing, Integrated Marketing, Marketing Activation, Marketing Analytics, Marketing Campaigns, Marketing Channels, Media Management, Omnichannel Strategy, Strategic…
Added 27 mins ago
AI
Computer Vision Engineer
Aptino, Inc.
Canada
- Contract
…expertise in Computer Vision, Machine Learning, Predictive Analytics, and AI solution architecture with strong experience in the Energy & Utilities or Oil & Gas…
Added 27 mins ago
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Senior SDET / Quality Engineering Lead/Architect
Droisys
Brampton, ON
- Contract
Define metrics and dashboards for quality analytics, coverage, defect leakage, and efficiency.
Added 27 mins ago
TL
VP, Go-To-Market
The Leadership Agency
Toronto, ON
- Full-time
…CRM integrations to branded donor experiences and real-time analytics - giving nonprofits the tools to punch well above their…
Added 28 mins ago
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Executive Assistant, Chief Technology, Data & AI Officer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- $58,000 to $91,000 CAD / year
- Full-time
Added 28 mins ago
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Data & Analytics Manager
OLG
Sault Ste. Marie, ON · Toronto, ON · York Mills Office
- Full-time
We are ready to take this game to the next level and need someone passionate to lead business-aligned analytics delivery, enablement, and data product development within an assigned…
Added 28 mins ago
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Data Scientist III
TD
Toronto, ON
- Full-time
Analytics, Insights, & Artificial Intelligence
Added 28 mins ago
NC
Business Analyst – Technology Training
NAV CANADA
Ottawa, ON
- Full-time
Added 28 mins ago
MS
DevOps Manager
Motorola Solutions
Vancouver, BC · BC · British Columbia,CAN Offsite
- Full-time
…surveillance industry. We are proud to be industry leaders in video analytics with products like Appearance Search and Unusual Motion Detection along with our cloud service platform. You…
Added 28 mins ago
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Director, Marketing & Growth
Minga
Kelowna, BC
- Full-time
…If you thrive at the intersection of unit economics, funnel analytics, modern search and AI discovery, and word-of-mouth growth, this is your opportunity to drive transformative…
Added 43 mins ago
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Spécialiste en Médias Numériques
DAC
Montreal, QC
- Full-time
…dans CM360 et acquérir une connaissance approfondie de Google…
Added 43 mins ago
CI
Manager, Site Merchandising
Carters Inc.
Mississauga, ON
- Full-time
Advanced proficiency with analytics tools (Adobe Analytics, Customer Journey, Quantum Metric, Constructor, Contentful). Ability to run A/B tests and interpret results.
Added 43 mins ago
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Sr. Applied AI Scientist – Generative AI & Agentic Systems
BMO
Toronto, ON · FCP
- Full-time
Added 43 mins ago
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Software Engineer - II
Mastercard
Vancouver, BC
- Full-time
The Decision Management program enables intelligent decision based products through streaming analytics with the ability to govern these decisions and manage their outcomes with business…
Added 43 mins ago
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Senior AI Engineer, Big Data & AI Solutions
Mastercard
Vancouver, BC
- Full-time
Hands-on experience with feature engineering, large-scale data processing, and analytics.
Added 57 mins ago
M
Marketing Data Analyst
Mindlance
Toronto, ON
- $35 to $40 CAD / hour
- Contract
Experience in marketing analytics, campaign reporting, and dashboard development
Added 58 mins ago
FS
Solutions Architect, AI/ML
Fidus Systems
Remote, Canada
- Full-time
- Remote
Added 58 mins ago
Services and Solutions - Sales Executive
Insight Enterprises, Inc.
Toronto, ON
Added 1 hour ago
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Database Administrator
Bevertec
Toronto, ON · Greater Toronto Area, Canada
- Contract
Added 1 hour ago
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Engagement Manager
Straive
Calgary, AB
- Full-time
Straive is a global leader in enterprise-grade Data Analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert…
Added 1 hour ago
PC
Senior Software Development Engineer in Test (SDET) / Quality Engineering Architect
Pyramid Consulting, Inc
Mississauga, ON
- $70 to $79 CAD / hour
- Contract
Define automated metrics and dashboards for continuous quality analytics.

Toast

Senior Consultant, ML/AI Engineer, Data & AI

Vancouver, BC, Canada

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

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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.

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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

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