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Added 7 mins ago
PC
Finance Managed Services Senior Associate
PwC Canada
Calgary, AB
- Full-time
As a Finance Managed Services Senior Associate, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t…
Added 7 mins ago
NB
Senior Director AI and Operations Engineering
National Bank of Canada
Montreal, QC
- Full-time
A career as Senior Director, AI and Operations Engineering in the Wealth Management Operations team at National Bank means acting as a leader in accelerating the transformation of wealth…
Added 7 mins ago
RI
Senior Research Consultant
Reach3 Insights
ON · Ontario, Canada
- Full-time
Reporting to Director, we’re looking for a client focused and passionate Senior Research Consultant to join Reach3 Insights. In this role, you’ll help drive business success across a…
Added 7 mins ago
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Solution Architect / Lead EBO Engineer – BAS (SABAS004)
Potenco
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Our Client is seeking an experienced Solution Architect / Lead EBO Engineer to serve as the senior technical authority for a complex Building Automation System modernization and migration…
Added 7 mins ago
Sr Encounter Designer (Star Wars Jedi)
Electronic Arts
Vancouver, BC
We’re looking for an experienced Senior Encounter Designer who will embrace our philosophy and share his/her hard earned expertise to help us create an incredible experience for our…
Added 7 mins ago
C
Senior AI Scientist
CIBC
Toronto, ON
- Full-time
…scalable, production-ready capabilities used across the bank. As a Senior AI Scientist, you'll apply your expertise in advanced modelling to solve complex business problems and develop…
Added 7 mins ago
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BlackBerry Radar- Senior Full Stack Developer
BlackBerry
Ottawa, ON
- Full-time
Added 7 mins ago
BQ
BlackBerry Radar- Senior Full Stack Developer
BlackBerry QNX
Ottawa, ON
- Full-time
Added 23 mins ago
C
Senior Partner, Learning & Talent Development
Croesus
Laval, QC
- Full-time
Reporting to the Vice President, Talent, Culture and Employee Experience, the Senior Partner, Learning & Talent Development plays a strategic role in structuring, evolving, and promoting…
Added 23 mins ago
Senior Research Consultant
Reach3 Insights
Toronto, ON
When you join Reach3, you’ll get to help pioneer a new way of capturing & delivering insights, working directly with senior consultants and industry leaders who are passionate about the…
Added 23 mins ago
Associate Research Director
Reach3 Insights
Toronto, ON
When you join Reach3, you’ll get to help pioneer a new way of capturing & delivering insights, working directly with senior consultants and industry leaders who are passionate about the…
Added 23 mins ago
HT
Hardware & Embedded Systems Engineer - AI-Edge Devices
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Contract
…support cross-functional collaboration between researchers and software…
Added 23 mins ago
S
Senior Product Manager - SOTI Connect
SOTI
Mississauga, ON
- $120,000 to $140,000 CAD / year
- Full-time
…most importantly, be part of a winning team. As the successful Senior Product Manager, you will be responsible for taking ownership of the product line life cycle from strategic planning to…
Added 23 mins ago
Senior Account Manager
AOT Technologies
Victoria, BC
Enough technical fluency to talk credibly about software delivery and AI with clients and engineers. You don't need to be a developer.
Added 23 mins ago
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Senior Director, AI Architecture
RBC
Toronto, ON
- Full-time
…retrieval-augmented generation (RAG), AI agents, model access and AI-native software delivery (AI-DLC). The role turns the 2030 T&O ambitions, including AI-native delivery and 30% of GenAI…
Added 23 mins ago
P
Finance Managed Services Senior Associate
PwC
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
As a Finance Managed Services Senior Associate, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t…
Added 38 mins ago
IC
Senior QA Test Lead / Senior Test Lead
Infotek Consulting Inc.
Toronto, ON
- $65 to $80 CAD / hour
- Contract
We are seeking an experienced Senior QA Test Lead to lead quality assurance and testing activities throughout the delivery lifecycle of complex digital and enterprise solutions. The…
Added 38 mins ago
AI
Forward Deployed Engineer (Python/Pyspark and GenAI / LLM)
Apptoza Inc.
Toronto, ON
- Full-time
We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You…
Added 38 mins ago
JT
Senior Data Engineer
Javelin Technologies
Canada
- Full-time
As Senior Data Engineer / Data Scientist, you will design, build, and operate the group's data ecosystem: integrating data from our core business systems, developing robust pipelines,…
Added 38 mins ago
A
Senior Business Analyst (2)
Aplin
AB · Edmonton, AB
- Contract
Our Client is seeking a Senior Business Analyst to support a major Enterprise Resource Planning (ERP) / Enterprise Asset Management (EAM) replacement program. This is a contract role based…
Added 38 mins ago
I
Senior Account Executive
Improving
Calgary, AB
- Full-time
…priorities and connect them with Improving’s expertise in custom software development, cloud, data and AI, application modernization, and technology consulting. Working alongside our…
Added 38 mins 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 38 mins ago
C
Application Development Lead, Vice President
Citi
Mississauga, ON
- Full-time
The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination…
Added 38 mins ago
C
Applications Development Tech Lead Analyst - VP
Citi
Mississauga, ON
- Full-time
The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination…
Added 53 mins ago
LH
2600001909 - Sr. Digital Solutions Developer
Lakeridge Health
Whitby, ON
- Internship
The Senior Digital Solutions Developer is responsible for the design, development, implementation, governance, and optimization of enterprise digital solutions that support organizational…

Toast

Senior Consultant, ML/AI Engineer, Data & AI

Vancouver, BC, Canada

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

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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.

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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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