Jobs in Canada

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Added 1 day ago
HT
Co-op Engineer
Huawei Technologies Canada Co., Ltd.
Ottawa, ON
- Internship
- On-site
Huawei Canada has an immediate 8-12 month Co-op opening for an Engineer.
Added 1 day ago
UT
Développeur(se) principal(e), Opérations de sécurité et intervention en cas d’incident / Senior Security Operations and Incident Response Engineer
Unity Technologies SF
Montréal, QC
- Full-time
Our SecOps team is seeking a senior, hands-on security engineer to serve as the team’s technical lead during Americas hours.
Added 1 day ago
Application Segmentation Engineer
Deloitte
Toronto, ON
The Application Segmentation Engineer candidate will have a strong background in cybersecurity and understanding of Zero Trust and micro segmentation security practices. The primary…
Added 1 day ago
Senior IAM Engineer (Ping Identity/CIAM), Global Deloitte Technology
Deloitte
Toronto, ON
Experience automating installations and CI/CD pipelines, including end‑to‑end deployment automation using Python and shell scripting.
Added 1 day ago
Cyber Agentic AI Analyst, Deloitte Global Technology
Deloitte
Toronto, ON
Familiarity with Python, Java, or similar technologies used to support security automations and integrations
Added 1 day ago
AM
Diagnostics Software/Hardware Technical Lead
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 1 day ago
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Staff Database Engineer
ServiceNow
Toronto, ON
- Full-time
- Hybrid
The candidate must have a passion for chasing issues of complex systems running under dynamic, real-world loads
Added 1 day ago
PG
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Groupe Holdings B.V
Toronto, ON
- Full-time
Publicis Sapient is looking for a Senior Associate Data Engineer to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital…
Added 1 day ago
K
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Vancouver, BC
- 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 1 day ago
K
Manager, ML/AI Engineer, Data & AI
KPMG
Toronto, ON · Vancouver, BC
- 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 1 day ago
C-
Senior Software Engineer
Canada - Genesys Cloud Services Corp.
ON
- Full-time
Strong proficiency in Java or Python, with experience contributing to test automation frameworks
Added 1 day ago
Technical Expert, Engineering - Engine Performance
Bombardier
Dorval, QC
You have good knowledge of various programming languages used by the industry (like FORTRAN, C++, Python, Matlab, Teamcenter) and various Microsoft Office Suite packages
Added 1 day ago
Software and Hardware Senior Engineering Specialist (SWEL)
Bombardier
Dorval, QC
Registration is required
Added 1 day ago
H
Engineering Manager, Applied AI
Headstart
Toronto, ON
- $285,000 USD / year
- Full-time
- Hybrid
- 5+ years in software engineering, deep enough to review designs and challenge the team's approach. Hands-on with Python.
Added 1 day ago
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Senior Engineering Manager, Applied AI
Headstart
Toronto, ON
- $300,000 USD / year
- Full-time
- Hybrid
- Your team. Hold a high bar and grow each engineer through direct, actionable feedback. Develop senior engineers into staff. Give clear priorities and expectations without adding process…
Added 1 day ago
H
Staff Engineer, Applied AI
Headstart
Toronto, ON
- $265,000 USD / year
- Full-time
- Hybrid
- Proven full-stack depth: backend services (Python), datastores, React/Next.js, optionally ML
Added 1 day ago
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Senior Engineer
Capgemini
Toronto, ON
- $72,056 to $138,940 CAD / year
We are seeking a highly skilled Software Engineer with strong expertise in Apache, SQL, Python, Scala, Hive, and Parquet to build and maintain large-scale data processing solutions. The…
Added 1 day ago
CI
Software Quality Assurance and Automation Test Engineer-Automotive Infotainment
CIeNET International
Markham, ON
- Full-time
Position: Software Quality Assurance and Automation Test Engineer - Automotive Infotainment
Added 1 day ago
CI
Software Quality Assurance and Automation Test Engineer - ADAS Controllers
CIeNET International
Markham, ON
- Full-time
Position Title: Software Quality Assurance and Automation Test Engineer - ADAS Controllers
Added 1 day ago
CI
HIL Simulation and Integration Engineer - Automotive Engineering
CIeNET International
Oshawa, ON
- Full-time
Must possess excellent communication skills
Added 1 day ago
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Senior AI Engineer, Legal - USA Remote
Danaher
London, ON
- Full-time
The Senior Legal Engineer is responsible for designing, building, and deploying AI-powered solutions that transform legal and compliance workflows across Danaher's corporate and platform…
Added 1 day ago
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GIS Developer
Bridgenext
Canada
- $115,000 to $150,000 CAD / year
- Full-time
Must Have Skills:
Added 1 day ago
M
Senior Software Engineer - Brokerage Platform
moomoo
ON
- Full-time
We are looking for an experienced Senior Software Engineer to join our engineering team in Toronto.
Added 1 day ago
ES
Principal AI Platform Engineer
Epiq Systems Canada LLC
Toronto, ON
- $150,000 to $300,000 CAD / year
- Full-time
- Hybrid
…thousands to millions of records. As a Principal AI Platform Engineer, you will design and build the platform our AI agents and accelerators run on, including orchestration, retrieval,…
Added 1 day ago
D
Sr Engineer, Cloud Infrastructure
Danaher
Concord, ON
- Full-time
The Engineer, Cloud Hosting is responsible for supporting and improving cloud and infrastructure environments to ensure reliability, performance, and operational efficiency. This role…

KPMG

Manager, ML/AI Engineer, Data & AI

Toronto, ON, Canada
Vancouver, BC, Canada

Full-time

Apply on careers.kpmg.ca About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Apr 7, 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: Apr 7, 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 on careers.kpmg.ca About employer

More about this job

Responsibilities

The ML/AI Engineer at KPMG will work with clients to find business problems that AI can solve, then build and deploy models and pipelines. The role covers data preparation, model development, production operations, monitoring, and presenting solutions to clients.

Requirements

Candidates need a university degree in a technical field and 5+ years of machine learning or AI engineering experience with production deployments. Strong Python, cloud ML platform and MLOps skills are required, along with generative AI and LLM experience.

Skills

Python
scikit-learn
TensorFlow
PyTorch
Azure ML Studio
Databricks MLflow
AI Foundry
GCP Vertex AI
AWS SageMaker
AWS Bedrock
Spark
CI/CD
Model versioning
Experiment tracking
Model monitoring
Drift detection
Retrieval-augmented generation
Prompt engineering
Fine-tuning
Feature engineering
Forecasting
Classification
Recommendation
Anomaly detection
Client consulting

Benefits

Comprehensive Total Rewards program
Bonus eligibility
Career development support

Keywords

Machine Learning Engineer
AI Engineer
MLOps
Generative AI
LLM
RAG
Python
Azure ML
Databricks
MLflow
Vertex AI
SageMaker
Bedrock
Data Science
Model Deployment
CI/CD
Responsible AI
Consulting
Cloud
Big data

Seniority

Manager

Perks

Performance bonus

Tools

Python
scikit-learn
TensorFlow
PyTorch
Azure ML Studio
Databricks MLflow
Spark
AI Foundry
Vertex AI
SageMaker

Languages

English

Fields of study

Computer science
Engineering
Data science
Mathematics

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Work requirements

Jobs in Canada