Find work in Canada.

A simpler way to find your next job.

Jobs in Canada

Email me new jobs Save this search

Added 2 months ago
Cybersecurity - Cloud Security - Senior Consultant
EY
Edmonton, AB · Vancouver, BC · Toronto, ON · Montreal, QC · AB · Calgary, AB
We are actively seeking a Cloud Security Senior Consultant to join our Cybersecurity team. You’ll work alongside respected industry professionals, learning about and applying leading…
Added 1 month ago
R
Senior AI Engineer
RBC
Toronto, ON
- Full-time
We are seeking an accomplished Senior AI Engineer to contribute to the design, development, and implementation of AI-driven solutions within our software development lifecycle. This role…
Added 2 months ago
V
Lead Full-Stack GenAI Engineer
Vancity
Vancouver, BC
- Full-time
As a Lead Full-Stack GenAI Engineer, you will lead the hands-on delivery of secure Generative AI and agentic AI solutions from discovery and prototype through production deployment,…
Added 2 months ago
S
Senior Software Engineer, Security
Super.com
Remote, Canada
- Full-time
- Remote
As a Senior Software Engineer on our Security team, you'll help shape the direction of our security tooling and AppSec practices and lead high-impact security work across the company. Your…
Added 2 months ago
L
Senior AI Platform Engineer
Luxoft
Toronto, ON
- Contract
As an AI Platform Engineer for AI & Emerging Tech, you will drive AI platform enablement across the enterprise. This role sits at the intersection of engineering, governance, and user…
Added 2 months ago
Senior Site Reliability Engineer
Planet
Canada
Advanced skills in Python, Bash, and other tooling as appropriate to build services and meet product goals
Added 2 months ago
C
Senior Software Engineer, AI
Calabrio
Remote, Canada
- Remote
Calabrio-Verint is looking for a highly skilled and experienced Senior Software Engineer, AI to perform a key role in our digital transformation program, and deliver exceptional customer…
Added 2 months ago
A
Sr. Systems Design Engineer - Data Center GPU
AMD
Markham, ON
- $96,800 to $145,200 CAD / year
- Full-time
We are looking for a dynamic, energetic Sr. Systems Design Engineer to join our growing Data Center GPU team. As a key contributor to the success of AMD’s product, you will be part of a…
Added 2 months ago
S&
Senior Piping Stress Engineer 2 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
Added 2 months ago
IF
Security Advisor PAM Specialist
Intact FC
Mississauga, ON · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
We are seeking a Senior PAM Specialist with deep hands-on expertise in IDIRA (formerly CyberArk) to lead the design and architecture of our PAM program and to build advanced integrations,…
Added 3 months ago
K
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
- Full-time
Are you a technically strong and business‑oriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a hands‑on engineer…
Added 3 months ago
K
Senior Manager, SR&ED (Software Engineer)
KPMG
Vancouver, BC
- Full-time
…software and emerging technology space, there is a need for a Senior Manager to lead complex client portfolios and contribute to the ongoing growth of the…
Added 2 months ago
F
Senior Frontend Engineer
Forma.ai
Toronto, ON
- Full-time
Reporting to the VP of Engineering the Senior Frontend Engineer will play a key role in building, evolving, and scaling Forma’s customer-facing and internal operations experiences.
Added 2 months ago
S
Principal Consultant - Cybersecurity & Agentic AI
Synechron
Toronto, ON · Greater Toronto Area, Canada
- $130,000 to $145,000 CAD / year
- Full-time
As “Principal Consultant, Agentic AI Cybersecurity Engineer” Candidate will work hands-on alongside our cybersecurity engineering and application security teams to build, operate, and…
Added 2 months ago
VC
Senior Software Engineer (Golang, Python, Microservices)
VTRAC Consulting Corporation (WBE)
Toronto, ON · Greater Toronto Area, Canada
- $120,000 to $145,000 CAD / year
- Full-time
Position: Senior Software Engineer (Golang, Python, Microservices)
Added 2 months ago
H
Senior Orbit Dynamics & Mission Analysis Engineer | Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
- Full-time
- Remote
We are seeking a Senior Orbit Dynamics & Mission Analysis Engineer to lead advanced astrodynamics, orbit dynamics, trajectory optimization, and space mission design and analysis activities.
Added 2 months ago
II
Lead Analytics Engineer
Innodata Inc.
Canada
- $130,000 to $150,000 CAD / year
- Contract
We are hiring a Staff / Lead-level Data Analyst / Analytics Engineer to embed with the Monetization Data Science & Analytics team as a senior individual contributor and technical leader.…
Added 2 months ago
CH
Senior Backend Engineer
Compass Holdings Canada Inc
Remote, Canada
- Full-time
- Remote
A strong working understanding of Python API frameworks (Flask)
Added 2 months ago
SG
Senior Machine Learning Engineer
SCIENTIFIC GAMES
Toronto, ON
- Full-time
We are looking for a Senior Machine Learning Engineer to help build the foundations of our machine learning platform from the ground up. This role is not about creating a centralized…
Added 2 months ago
E
Senior Software Engineer, Houdini
Eyeline
Vancouver, BC
- Full-time
The Senior Software Engineer, Houdini collaborates with Pipeline Leads to build a Houdini pipeline that spans lookdev, lighting, CFX, and FX, using USD and Solaris as a backbone. They…
Added 2 months ago
M
Senior Research Engineer – Machine Learning, Computer Vision
mtl.ai
Montreal, QC
- Full-time
…environment, there is no margin for error. We are seeking a Senior Engineer who understands that "excellence" is not a static goal, but a continuous process of…
Added 2 months ago
M(
Senior Applied Machine Learning Engineer - Asset Intelligence
MaintainX (An Autodesk Company)
Remote, Canada
- $123,000 to $180,000 CAD / year
- Full-time
- Remote
We are seeking a highly skilled and motivated Senior Applied Machine Learning Developer to guide the technical direction and architecture of our Predictive Maintenance and Asset…
Added 2 months ago
R
Senior Technical Support Engineer (T3)
Rewind
Remote, Canada
- $100,000 to $120,000 CAD / year
- Full-time
- Remote
The Senior Technical Support Engineer (T3) is the highest tier of our support organization, serving as a bridge between customer support and engineering. You will own the most complex,…
Added 2 months ago
Sr. Data Engineer, WW Pricing Data and Insights
Amazon
Vancouver, BC
As a Senior Data Engineer, you will be a technical lead on the team, leading designs and mentoring engineerings on the team. you will create data models and ML data infrastructure that…
Added 2 months ago
AM
Sr. Systems Design Engineer - Data Center GPU
Advanced Micro Devices, Inc
Markham, ON
- Full-time
We are looking for a dynamic, energetic Sr. Systems Design Engineer to join our growing Data Center GPU team. As a key contributor to the success of AMD’s product, you will be part of a…

KPMG

Senior Consultant, ML/AI Engineer, Data & AI

UNAVAILABLE, Calgary, AB, Canada
UNAVAILABLE, Vancouver, BC, Canada
ON, Canada
UNAVAILABLE, Toronto, ON, M5H 2S5, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Jul 28, 2027
Experience: 3+ years of professional experience in machine learning, data science, AI engineering, or a related field, with demonstrated experience delivering production ML solutions.
Posting language: English
Posted: Jul 28, 2026

Original job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

Are you a technically strong and business‑oriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a hands‑on engineer with deep experience in AI/ML engineering and AI/ML engineering operations who can partner with clients to design, build, and operationalize AI‑powered solutions at scale.

This role will focus on translating advanced analytics, machine learning, and generative AI use cases into secure, scalable, and production‑ready solutions across on-prem and cloud environments (ideally on Azure but also GCP and AWS).

What you will do

Partner with clients to understand business problems and identify opportunities to apply AI and advanced analytics solutions.
Translate business and analytical requirements into end‑to‑end ML/AI solution design,
Execute ML/AI engineering tasks including exploratory data analysis, data preparation, model development (e.g., forecasting, classification, recommendation, anomaly detection) using tech stack such as Python and common ML frameworks (e.g., scikit‑learn, TensorFlow, PyTorch, Azure ML Studio, Databricks MLFlow).
Develop and optimize AI and GenAI solutions using state-of-the-art tools and platform (AI Foundry, GCP Vertex AI, AWS Sagemaker and Bedrock).
Operationalize AI/ML pipelines using AI/ML Ops best practices, including model deployment versioning, CI/CD, automated testing, and monitoring.
Implement model monitoring, performance tuning, drift detection, and retraining strategies in production environments.
Collaborate 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 compliance with security and privacy standards.
Support client workshops, technical discussions, and stakeholder presentations related to AI strategy, solution design, and implementation.

What you bring to the role

University degree in computer science, engineering, data science, mathematics, or a related discipline.
3+ years of professional experience in machine learning, data science, AI engineering, or a related field, with demonstrated experience delivering production ML solutions.
Strong proficiency in Python for data analysis, machine learning, and model development.
Hands‑on experience with machine learning frameworks/libraries and platform tools (e.g., scikit‑learn, TensorFlow, PyTorch, Azure ML Studio, Databricks MLFlow).
Solid understanding of ML algorithms, statistics, model evaluation techniques, and feature engineering.
Experience designing and implementing end‑to‑end ML pipelines, including data preprocessing, model training, validation, deployment, and monitoring.
Practical experience with ML Ops practices, including CI/CD, model versioning, experiment tracking, and automated retraining.
Experience deploying ML models to cloud environments (Azure, AWS, or GCP) with an understanding of cloud‑native architecture and security principles.
Familiarity with big data or distributed processing frameworks (e.g., Spark) is an asset.
Experience with generative AI, large language models (LLMs), prompt engineering, or retrieval‑augmented generation (RAG) is essential, experience with fine-tuning foundational models is an asset.
Strong consulting and communication skills, with the ability to explain complex technical concepts to non‑technical stakeholders.
Proven ability to collaborate within cross‑functional and multi‑disciplinary teams to solve complex business problems.

Certifications (Preferred)

Cloud AI / ML certifications (e.g., Azure AI Engineer Associate or better, AWS Machine Learning Specialty or better, Google Professional ML Engineer or better, Databricks ML Engineer Associate or better, Databricks Generative AI Engineer).

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $77,000 to $102,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Information

The expected base salary range for this position is $73,000 to $100,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best

Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

We embrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

Apply About employer

More about this job

Responsibilities

The Senior Consultant will design, build, and operationalize scalable AI and machine learning solutions to address complex business problems. They will also implement MLOps best practices, including model monitoring, CI/CD pipelines, and governance to ensure production-ready AI systems.

Requirements

Candidates must have at least 3 years of professional experience in machine learning or AI engineering with proficiency in Python and cloud platforms. A university degree in computer science, engineering, or a related quantitative field is required.

Skills

Python
Machine Learning
Artificial Intelligence
Generative AI
MLOps
Azure
Google Cloud Platform
AWS
Data Engineering
Model Deployment
CI/CD
Prompt Engineering
RAG
Consulting
Statistics
Data Analysis

Benefits

Comprehensive and competitive total rewards program
Bonus awards

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Generative AI
Python
MLOps
Azure ML Studio
Databricks
TensorFlow
PyTorch
Scikit-learn
GCP Vertex AI
AWS Sagemaker
Bedrock
CI/CD
LLMs
RAG
Prompt Engineering
Data Engineering
Spark
Model Governance
Consulting
Cloud Computing
Predictive Modeling
Anomaly Detection
Forecasting
Classification
Feature Engineering
Drift Detection
Responsible AI
Data Science

Report this job