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Added 4 hours ago
AT
Senior DevSecOps Engineer
Aarorn Technologies Inc
Toronto, ON
- $50 CAD / hour
- Contract
We are seeking a Senior Cloud Security & DevSecOps Engineer to design, secure, automate, and operate enterprise multi-cloud platforms. The role will embed security controls into…
Added 10 hours 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 11 hours ago
S
Platform Solution Architect /Architecte de solutions de plateforme (Montreal)
Slalom
Montreal, QC
- Full-time
We’re looking for a Senior Platform Engineer to join a North America-based team focused on delivering secure, scalable automation and cloud platforms. This role is about enabling teams to…
Added 12 hours ago
PC
Cloud Infrastructure Engineer, Senior Associate
Pwc Canada
Ottawa, ON · Toronto, ON
- Full-time
CI/CD Pipelines: Experience with AWS/ GCP DevOps, Jenkins, Git, and related technologies. Ideally experience with infrastructure deployments using any DevOps tool.
Added 12 hours ago
RI
Senior Forward Deployed Engineer - Java/ Python | Capital Markets
Rose International
Mississauga, ON
- Full-time
We are seeking a Senior Forward Deployed Engineer (FDE) with deep Java and Python expertise to architect, build, and deploy production-grade solutions for financial technology use cases in…
Added 12 hours ago
RI
Senior Software Development Engineer in Test (SDET)
Rose International
Mississauga, ON
- Full-time
Certified Software Test Architect / ISTQB Advanced Level (Test Automation Engineer / Technical Test Analyst).
Added 13 hours ago
D
Senior SDET / Quality Engineering Lead/Architect
Droisys
Brampton, ON
- Contract
We are seeking a Senior Software Development Engineer in Test (SDET) / Quality Engineering Architect to join our team. The ideal candidate will have strong experience in architecting…
Added 14 hours ago
K
Software Engineer in Test
Kelly
Mississauga, ON
- Contract
Job Title: Senior SDET / Quality Engineering Architect
Added 14 hours ago
PC
Senior Software Development Engineer in Test (SDET) / Quality Engineering Architect
Pyramid Consulting, Inc
Mississauga, ON
- $70 to $79 CAD / hour
- Contract
Immediate need for a talented Senior Software Development Engineer in Test (SDET) / Quality Engineering Architect. This is a 06+months contract opportunity with long-term potential and is…
Added 14 hours ago
K
Software Engineer
Kelly
Mississauga, ON
- Contract
Job Title: Senior Forward Deployed Engineer – Spread Products (Financing & Securitization)
Added 14 hours ago
D
Software Engineer in Test
Dexian
Mississauga, ON
- Other
We are seeking a visionary and hands-on Senior Software Development Engineer in Test (SDET)/Quality Engineering Architect to define, champion, and drive the global quality engineering…
Added 14 hours ago
T
TekRek - Senior Data Consultant
TekRek
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
…executives through what the data shows. The right person is a strong engineer first, comfortable in front of a CFO or CTO, and keen to grow into a senior consultant role. The role is based…
Added 16 hours ago
M
Senior Full Stack Developer (Java/React)
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 16 hours ago
Unified Customer Experience - Consultant - Senior Full Stack Engineer
Questrade Financial Group
Calgary, AB
We’re looking for our next Senior Software Engineer. Could It Be You?
Added 16 hours ago
T
Senior Consultant, ML/AI Engineer, Data & AI
Toast
Vancouver, BC
- $77,000 to $102,000 USD / year
- Full-time
…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…
Added 16 hours ago
BR
Java Software Engineer
Benchmark Recruitment
Vancouver, BC · Greater Vancouver Metropolitan Area
- Contract
Job Title: Senior Java Backend Engineer – Cloud & Data
Added 17 hours ago
Senior Network Development Engineer
NetBrain
Toronto, ON
We are looking for a Senior Network Development Engineer to own the engineering behind the correctness, coverage, and reliability of these resources. This role will design and build the…
Added 17 hours ago
Unified Customer Experience - Senior Software Engineer
Questrade Financial Group
Calgary, AB
We’re looking for our next Software Engineer. Could It Be You?
Added 18 hours ago
System Architect - Krembil Centre for Neuroinformatics
CAMH
Toronto, ON
…for the IYS data platform. Built on Google Cloud Platform (GCP) and designed around partner data sovereignty, the platform requires an architect to own the end-to-end design, integrity, and…
Added 21 hours ago
A
Full Stack Engineer
Aptonet
Vancouver, BC
- Full-time
Join our client's team as a Software Engineer to design, implement, and test features for a generative AI platform. Working closely with senior team members, you'll collaborate across…
Added 21 hours ago
MF
Staff Software Engineer
Magnet Forensics
Canada
- Full-time
As a Staff Software Engineer on the Artifacts Knowledge Team, you’ll play a pivotal role in defining our cloud-native data enrichment service, ensuring it meets the demands of performance,…
Added 21 hours ago
Sr Staff. Software Engineer
Kaseya Careers
Toronto, ON
We’re hiring a Senior / Staff Backend Engineer to lead the design and delivery of SaaS products powered by data, machine learning, and AI. This is a hands-on role focused on building…
Added 23 hours ago
M
Senior Full Stack Developer (Java/React)
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 23 hours ago
A
Senior Software Engineer - Market Data
Alpaca
Canada
- Full-time
As a senior software engineer, you will help build and scale the systems and services that form the foundation of Alpaca and empower millions of users who are trading billions of dollars…
Added 23 hours ago
RI
Senior Full-Stack Java Developer (Front-Office / Capital Markets)
Rose International
Mississauga, ON
- Full-time
Seeking a Senior Forward Deployed Engineer with deep Java and Python expertise to work directly with Fintech clients in the Spread Products space. This is a hybrid engineering and…

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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