Find work in Canada.

553,978 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 2 months ago
S
Security Engineer, Application Security
Sentry
Remote, Canada
- $162,000 to $420,000 CAD / year
- Full-time
- Remote
As a Security Engineer on this team, you'll work across application and platform security domains. You'll contribute to the practices that keep Sentry secure as we grow: security reviews,…
Added 1 month ago
Senior Security Engineer, Device/Hardware
Motive
Toronto, ON
5+ years of hands on development experience in the programming languages like python and C/C++
Added 2 months ago
V
QE Lead, Quality, Non-Functional
Vancity
Vancouver, BC · Toronto, ON
- Full-time
…and operational readiness of member-facing platforms through hands-on engineering leadership and execution of automation-first practices across the SDLC. This position focuses on designing…
Added 2 months ago
V
QE Lead, Payments
Vancity
Vancouver, BC · Toronto, ON
- Full-time
…reliability, and performance of member-facing platforms through hands-on engineering leadership and execution of automation-first practices across the SDLC. This position focuses on…
Added 2 months ago
RB
Senior AI Engineer
Royal Bank of Canada
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
ZI
Senior Data Engineer
ZenaTech Inc.
Toronto, ON
- $115,000 to $130,000 CAD / year
- Full-time
Strong SQL and Python; hands-on with a modern warehouse (Snowflake, BigQuery, Redshift, or Databricks) and a transformation framework such as dbt
Added 2 months ago
P
Senior Associate SIEM Implementation
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
Hands-on experience with Microsoft Sentinel, Google SecOps, Palo Alto XSIAM, Devo, and Splunk.
Added 2 months ago
Cybersecurity - Cloud Security - Senior Consultant
EY
Edmonton, AB · Vancouver, BC · Toronto, ON · Montreal, QC · AB · Calgary, AB
In possession of or working toward industry recognized cloud security certifications such as CCSK, CCSP, Azure Security Engineer, Azure Solution Architect Expert, AWS Solution Architect…
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
I
Optical Reliability Engineer
Inpho
Canada
- $125,000 to $170,000 CAD / year
- Full-time
We are seeking an experienced Optical Reliability Engineer to lead the end-to-end reliability characterization and qualification of InP-based photonic devices including EMLs, lasers,…
Added 2 months ago
A
Systems Engineer (Forward Deployed)
ANVIL
Ottawa, ON
- Full-time
We are seeking a versatile Systems Engineer to join our team, focused on delivering mission-critical software to our defence, public safety, and national security customers. You will…
Added 2 months ago
AM
Mixed Signal Circuit Design Analysis & CAD Engineer ( Temporary 1 Year Contract)
Advanced Micro Devices, Inc
Markham, ON
- Temporary
The AMD Mixed Signal IP Design Analysis and CAD Engineer role provides an excellent opportunity to gain a comprehensive understanding of the hardware chip development lifecycle, from…
Added 2 months ago
VC
AI Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
You'll embed directly in our engineering team, working hands-on inside our .NET codebase and broader product suite. Your mission is to act as an organizational force multiplier - turning…
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 USD / 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
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 5 months ago
AM
Lead Diagnostics Software Engineer, ATE Integration
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…lifecycle. We are seeking a visionary Lead/Principal Diagnostics Engineer to drive our shift from proven post-silicon software validation frameworks and System-Level Tests (SLT) directly…
Added 4 months ago
AM
3D IC and ADVANCED PACKAGING CAD ENGINEER
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…design background, software and scripting proficiency, and hands-on experience applying machine learning to CAD or EDA…
Added 4 months ago
AM
ASIC Verification Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
The ideal candidate is a highly analytical engineer with strong problem-solving skills and attention to detail, capable of independently driving complex technical tasks to completion. They…
Added 5 months ago
R
Staff Platform Engineer
Rivian
Vancouver, BC
- Full-time
Are you a Staff or Lead-level Platform Engineer passionate about developer experience (DevEx), build and release engineering, and robust infrastructure? We are looking for a hands-on expert…
Added 3 months ago
K
Manager, 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 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…

KPMG

Manager, 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: 5+ 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.
5+ 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 $103,000 to $135,000 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 $101,000 to $130,000 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 role involves partnering with clients to design, build, and operationalize scalable AI and machine learning solutions. You will be responsible for developing end-to-end ML pipelines, implementing MLOps best practices, and collaborating with cross-functional teams to solve complex business problems.

Requirements

Candidates must have a university degree in a relevant field and at least 5 years of professional experience in machine learning or AI engineering. Proficiency in Python, cloud platforms, and experience with generative AI and MLOps are essential for this position.

Skills

Python
Machine Learning
Artificial Intelligence
Generative AI
MLOps
Azure
Google Cloud Platform
AWS
Data Engineering
Model Deployment
CI/CD
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
Consulting
Stakeholder Management

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
Azure ML Studio
Databricks
MLFlow
TensorFlow
PyTorch
Scikit-learn
Vertex AI
AWS Sagemaker
Bedrock
MLOps
CI/CD
LLMs
RAG
Cloud Computing
Data Engineering
Model Governance
Explainability
Bias Detection
Spark
Consulting
Strategy
Production-ready
Distributed Processing
Feature Engineering
Statistics
Data Analysis

Report this job