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Added 42 mins ago
A
Test/Lab Engineer
Actalent
Waterloo, ON
- $33 to $38 CAD / hour
- Contract
Our client in the automotive industry, is looking to hire a Test/Lab Engineer.
Added 42 mins ago
A
Senior Project Engineer - Minerals and Metals
Ausenco
Burlington, ON
- Full-time
We are seeking an experienced Senior Project Engineer to support the delivery of mining and minerals projects by bridging the gap between multidisciplinary engineering teams and site…
Added 42 mins ago
A
Project Engineer - Minerals and Metals
Ausenco
Burlington, ON
- Full-time
We are seeking a motivated and technically capable Project Engineer to support engineering execution and site construction activities for mining and minerals projects. Based in the office,…
Added 58 mins ago
A
Mechanical Engineering Lead, Data Centers
AECOM
Markham, ON
- $145,000 to $195,000 CAD / year
- Full-time
There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big…
Added 1 hour ago
FH
Lead, Health Informatics
Fraser Health
Surrey, BC
- Full-time
The Virtual Infrastructure team at Fraser Health is looking for a Cloud Engineer to join our team. This role plans, designs, implements, and supports secure and reliable cloud solutions.…
Added 2 hours ago
W
Structural Engineer Level I
Worley
Vancouver, BC
- Full-time
…procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we…
Added 2 hours ago
W
Senior Associate Management Consultant
Worley
Vancouver, BC
- Full-time
…procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we…
Added 3 hours ago
W
Structural Engineer Level II
Worley
Vancouver, BC
- Full-time
…procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we…
Added 3 hours ago
M
Customer Experience Engineer / M365
Microsoft
Toronto, ON
- Full-time
…forefront of this revolution with an ever-expanding array of services and offerings such as Microsoft Teams, Copilot and…
Added 3 hours ago
S
HR Representative
SLB
Calgary, AB
- Full-time
…orientation reviews, Schlumberger Eureka Technical Careers, General Field Engineer controls, identifying high-value employees and performance…
Added 3 hours ago
C
Graphic Designer
CIMA+
Calgary, AB
- Full-time
…local conditions to provide the full range of environmental services for clients in both the public and private sectors. We have the skills to execute complex environmental projects, but we…
Added 4 hours ago
IC
Frontend Developer
IT Connex
Toronto, ON
- Contract
The ideal candidate is a hands-on senior engineer with strong React and JavaScript expertise, experience building enterprise-scale applications, and the ability to lead technical…
Added 4 hours ago
Backend Engineer, Data
Stripe
Canada
Build data services that track key product metrics and measure the impact of different strategies employed by teams in the field
Added 5 hours ago
EI
Superintendent - Civil Construction
EBC Inc.
Sudbury, ON · Greater Sudbury, ON
- Full-time
Coordinating with, directing, and monitoring the Field Engineer/Coordinator inspection activities of the subcontractors, suppliers and own forces;
Added 5 hours ago
VM
Sr Full Stack Engineer
Vivid Machines
Toronto, ON
- Full-time
As a Senior Full Stack Developer, you will own the software that sits between our cameras in the field and the people who rely on them: the applications our team and customers use to run…
Added 5 hours ago
Senior Architectural Contract Construction Administrator (Prince George, BC)
DIALOG
Vancouver, BC
You have 10+ years of progressively responsible experience in architectural construction administration, construction-phase services or a closely related field.
Added 5 hours ago
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Project Field Coordinator, Mine
Nutrien
Vanscoy, SK
- Full-time
Nutrien is a leading provider of crop inputs and services, and our business results make a positive impact on the world. Our purpose, Feeding the Future, is the reason we come to work each…
Added 5 hours ago
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Associate EI&C Engineer
Veolia | North America
Oakville, ON
- Full-time
Veolia Group is a global leader in environmental services, operating across all five continents with nearly 218,000 employees. Specializing in water, energy, and waste management, Veolia…
Added 5 hours ago
V|
Electrical & Instrumentation Engineer
Veolia | North America
Oakville, ON
- Full-time
Veolia Group is a global leader in environmental services, operating across all five continents with nearly 218,000 employees. Specializing in water, energy, and waste management, Veolia…
Added 5 hours ago
TT
Junior Geotechnical Engineer-In-Training
Tetra Tech
Kelowna, BC
- Full-time
Provide field review and quality assurance services during construction.
Added 5 hours ago
BF
(Junior) Data Engineer (12-Month Contract)
BC Financial Services Authority
Vancouver, BC
- $56,294 to $107,310 CAD / year
- Contract
We are recruiting for a temporary (Junior) Data Engineer role for 12 months within the British Columbia Financial Services Authority (BCFSA). Candidates applying through this competition…
Added 5 hours ago
MEP Technical Manager - Scarborough Subway Extension (STC)
Aecon
Toronto, ON · Scarborough, ON
Ensure you and your family receive the services and benefits needed to support your mental, emotional, and physical well-being.
Added 5 hours ago
PL
Senior Mine Engineer/Planner - PL#27347
Peter Lucas
AB · Edmonton, AB
- Full-time
…delivery. We are currently looking for an experienced Senior Mine Engineer / Planner to join our…
Added 5 hours ago
A
INTERFACE LEAD
Alstom
Toronto, ON
- $100,000 to $130,000 CAD / year
…diverse portfolio: high-speed trains, metros, trams, maintenance services and integrated…
Added 5 hours ago
JH
Fire Protection Engineer (P.Eng) (GHL Consultants, a part of J.S. Held)
J.S. Held LLC
Calgary, AB
- Full-time
We are seeking an experienced and motivated Professional Engineer (P.Eng.) to help grow our presence in Alberta. The successful candidate will play a key role in delivering building code…

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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