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Added 8 mins ago
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Network Engineer
Imani-Health
Field, BC
- Contract
Imani Health is looking for a skilled Network Engineer to support the deployment of our offline hospital system across partner hospitals and clinics.
Added 8 mins ago
LD
Electrical Engineering Manager
Leonardo DRS
Bedford, QC
- Full-time
…designers working on power electronics design activities in support of multiple projects. Reporting to the Naval Communication Electrical Engineering Manager, the Electrical Engineering…
Added 8 mins ago
AS
UI/UX Engineer
Axelon Services Corporation
Toronto, ON
- $74 to $78 USD / hour
- Contract
Global Financial Firm located in Toronto, ON has an immediate contract opportunity for an experienced UX/UI Engineer
Added 8 mins ago
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System Configuration Specialist / Spécialiste en configuration de systèmes (CS002)
Potenco
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Develop and maintain a thorough understanding of systems delivered to customers to provide effective technical support.
Added 8 mins ago
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Solution Architect / Lead EBO Engineer – BAS (SABAS004)
Potenco
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Solution Architect / Lead EBO Engineer – Building Automation Systems
Added 8 mins ago
HR
Senior Software Engineer – Drone Control & Simulation (Defense and Dual-Use)
Haply Robotics
Montreal, QC
- Full-time
We’re looking for a Senior Software Engineer to be the first dedicated developer behind how operators fly, train, and feel drones through haptics.
Added 8 mins ago
ET
Observability Engineer
Envision Technology Solutions
Montreal, QC
- Contract
Build and support the modernization and integration of observability tools in private and public cloud offerings (GCP, AKS, EKS).
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Senior Release Train Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
We’re transforming our Insurance Technology organization to create seamless, customer-first digital experiences used by millions every day.
Added 8 mins ago
JC
Journeyman Welder
Johnson Controls
Nisku, AB
- Full-time
Silent-Aire Limited Partnership, a wholly owned subsidiary of Johnson Controls, is a technology-driven manufacturer at the forefront of hyperscale cooling and modular data center solutions.…
Added 23 mins ago
Proposal Specialist 1
L3Harris Technologies
Montreal, QC
Define/engineer/manage bids and solutions for power plant simulators and/or digital control systems alongside Engineering, Operations and Business Development;
Added 23 mins ago
CL
Application Engineer - Inside Sales
Contrôles Laurentide / Laurentide Controls
Kirkland, QC
- Full-time
…role in driving sales by providing technical expertise and support to our clients throughout the sales process. Your primary responsibility will be to understand customer needs, communicate…
Added 23 mins ago
Electrical Engineering Manager
Leonardo DRS, Inc.
NS · Bedford, Nova
…designers working on power electronics design activities in support of multiple projects. Reporting to the Naval Communication Electrical Engineering Manager, the Electrical Engineering…
Added 23 mins ago
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Customer Experience Test Automation Intern
OpusClip
Burnaby, BC
- $25 to $28 CAD / hour
- Full-time
…we call customer-originated requirements: the thousands of support conversations we handle each month are a rich record of how OpusClip actually gets used and where it breaks, and nobody…
Added 23 mins ago
HT
Hardware & Embedded Systems Engineer - AI-Edge Devices
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Contract
Huawei Canada has an immediate 12-month contract opening for a Hardware & Embedded Systems Engineer.
Added 23 mins ago
HT
Intern Engineer - AI
Huawei Technologies Canada Co., Ltd.
Vancouver, BC
- Internship
Huawei Canada has an immediate 4-month internship opening for an Intern Engineer.
Added 23 mins ago
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Senior Full Stack Developer (Java/React)
Miratech
Toronto, ON
- Full-time
…brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we…
Added 23 mins ago
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New Graduate, Rail, Transit Systems & Telecoms
AtkinsRéalis
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together,…
Added 38 mins ago
AI
Forward Deployed Engineer (Python/Pyspark and GenAI / LLM)
Apptoza Inc.
Toronto, ON
- Full-time
Role: Forward Deployed Engineer (Python/Pyspark and GenAI / LLM)
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
IG
Workday Application Engineer
Insight Global
Canada
- Contract
Insight Global is looking for a Workday Application Engineer to support a large retail client within their People & Culture Technology team. This individual will design, configure,…
Added 38 mins ago
EB
Staff Engineer, Infrastructure Solutions (12 month contract)
EQ Bank
Toronto, ON
- Contract
The Staff Engineer plays a key role within the Infrastructure Solutions team, defining infrastructure strategies and roadmaps with a strong emphasis on network engineering initiatives. This…
Added 38 mins ago
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Lead, Forward Deployed Engineering
Deliverect
Toronto, ON
- Full-time
…committed to creating user-friendly, dependable, and scalable technology that simplifies operations and enhances customer experiences, playing an integral role in the success of businesses…
Added 38 mins ago
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Infrastructure Engineer
CarbonForge
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Role Description The Infrastructure Engineer role at CarbonForge is a full-time, on-site position based in the Greater Montreal Metropolitan Area. In this role, the engineer will design,…
Added 38 mins ago
Full Stack Engineer - Equities Technology
HSBC Global Services Limited
Toronto, ON
HSBC Equities Technology is investing heavily in its front office electronic trading platform and this role helps translate that investment into a scalable, extensible and high-performing…
Added 53 mins ago
Staff Engineer, Infrastructure Solutions (12 month contract)
EQ Bank | Canada's Challenger Bank
Toronto, ON
The Staff Engineer plays a key role within the Infrastructure Solutions team, defining infrastructure strategies and roadmaps with a strong emphasis on network engineering initiatives. This…

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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