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Added 3 mins ago
M
Platform Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
We’re looking for a Platform Engineer who enjoys solving complex infrastructure challenges, improving developer experiences, and building secure, automated cloud environments. You’ll work…
Added 3 mins ago
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Senior Product Manager
Litera
Toronto, ON · Canada-Toronto, ON-Office
- Full-time
As a Senior Product Manager, you’ll own the vision, strategy, and roadmap for Litera’s Firm Intelligence Platform - the foundational layer that turns the data flowing through a law firm’s…
Added 3 mins ago
MN
Vice President, Professional Services
March Networks
Remote, Canada
- Full-time
- Remote
…thrive. When you join our team, you will enjoy flexibility and support for a healthy work-life balance, as well as the professional development opportunities needed to advance your career.…
Added 3 mins ago
GM
Staff Software Test Engineering - ADAS Infrastructure Compliance
General Motors
Markham, ON
- Full-time
…can be conducted on open loop, close loop HIL benches or SIL platform. Test automation is continuously updated to ensure comprehensive test coverage and early issue…
Added 3 mins ago
Software Engineer 3, Identity and Access Management
MongoDB
Toronto, ON
…disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy…
Added 3 mins ago
K
Part-Time Key Lead (Market Mall)
Knix
Calgary, AB
- $22.7 CAD / hour
- Part-time
Health benefits program that starts on your first day, and access to a mental health & wellness platform that offers therapy and coaching sessions.
Added 3 mins ago
KV
Director, Private Capital Investments
Kilmer Van Nostrand Co. Limited
Toronto, ON
- Full-time
…will oversee portfolio reporting and bring forward practical, data-informed recommendations that support better decisions and sustainable…
Added 4 mins ago
S
Senior Software Engineering Manager
symplistic.ai
Woodbridge, ON
- $150,000 CAD / year
- Full-time
ContentIQ is our enterprise AI knowledge and retrieval platform, securely connecting websites, documents, SharePoint, OneDrive, internal systems, and other sources to AI agents.
Added 18 mins ago
Principal Strategic Deal Maker- Sales Executive
Capgemini
Mississauga, ON
Knowledge of enterprise technology trends including Cloud, AI, Data & Analytics, Digital Engineering, Cybersecurity, Intelligent Automation, and Platform Modernization
Added 18 mins ago
Technical Consultant I
Zafin
Toronto, ON
Our portfolio includes Zafin AIOS, an agent orchestration platform for governed AI work; the Zafin Banking Platform, which helps banks modernize product, pricing, offers, billing, loyalty,…
Added 18 mins ago
RB
Senior Director, AI Architecture
Royal Bank of Canada
Toronto, ON
- Full-time
…risk and jurisdiction. Build in token metering, caching and data-classification rules so cost and residency are enforced by the…
Added 18 mins ago
MI
Director of Product
Method Integration Inc.
Remote, Canada
- Full-time
- Remote
…standard: work is thought through and grounded in customer data before Design and Engineering start…
Added 18 mins ago
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Engineering Manager- Payments Platform
Xero
Remote, Canada
- Full-time
- Remote
First 6 months: you'll understand the payments platform, its consumers, and the customer problems it enables teams to solve. You'll have the team delivering production code, with a clear…
Added 18 mins ago
Partnership Trust & Safety Manager
impact.com
Victoria, BC
impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the…
Added 33 mins ago
MN
Vice President, Professional Services
March Networks
Ottawa, ON
- Full-time
…thrive. When you join our team, you will enjoy flexibility and support for a healthy work-life balance, as well as the professional development opportunities needed to advance your career.…
Added 33 mins ago
MS
Dynamics 365 Consultant
Marberg Staffing
Toronto, ON · North York, ON
- $80 to $90 CAD / hour
- Temporary
Work with technical teams on data entities, batch jobs, integrations, APIs and Power Platform/Azure-related interfaces where applicable.
Added 33 mins ago
K
Assistant Store Manager - McArthurGlen
Knix
Richmond, BC
- $51,200 to $56,900 CAD / year
- Full-time
Health - Health benefits program that starts on your first day, and access to a mental health & wellness platform that offers therapy and coaching sessions
Added 48 mins ago
EM
Administrative Coordinator - Government
Evertz Microsystems Limited
Burlington, ON
- Full-time
The Administrative Coordinator role provides support to the sales and business development teams by managing schedules, meetings, documentation, and follow-up for government sales…
Added 48 mins ago
T
Data Scientist II
TD
Toronto, ON · Montreal, QC
- Full-time
Build reproducible and well-documented analytical workflows using Python, SQL, and enterprise data platforms, and support implementation and productionization with Engineering, FICO, MLOps,…
Added 1 hour ago
P
Solution Architect / Lead EBO Engineer – BAS (SABAS004)
Potenco
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Establish historian, trending, data-retention, historical-migration, reporting, and external data-interface strategies.
Added 1 hour ago
SL
Student, Quality Engineering Analyst (Winter 2027)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Join the Quality Engineering Analytics (QEA) team and help turn Quality Engineering data into useful insight, automation and trusted AI-enabled capabilities. You will work with engineers…
Added 1 hour ago
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BlackBerry Radar- Senior Full Stack Developer
BlackBerry
Ottawa, ON
- Full-time
…product-market fit, our install base is scaling quickly, and our platform processes more data each month than ever before. We’re investing heavily in next-generation architecture to support…
Added 1 hour ago
BQ
BlackBerry Radar- Senior Full Stack Developer
BlackBerry QNX
Ottawa, ON
- Full-time
…product-market fit, our install base is scaling quickly, and our platform processes more data each month than ever before. We’re investing heavily in next-generation architecture to support…
Added 1 hour ago
Senior Research Consultant
Reach3 Insights
Toronto, ON
…the world’s first, enterprise-grade conversational insights platform. We engage with consumers & business audiences via organic mobile messaging-based techniques to capture rich,…
Added 1 hour ago
Associate Research Director
Reach3 Insights
Toronto, ON
…the world’s first, enterprise-grade conversational insights platform. We engage with consumers & business audiences via organic mobile messaging-based techniques to capture rich,…

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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