Find work in Canada.

327,229 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Save this search

Added 3 days ago
Lead, Machine Learning Engineer, GFT
RBC
Toronto, ON
Full-time
As a Senior Manager, AI and ML, you will be working on solving core business problems in compliance (trade surveillance, managing regulatory insights, etc) by leveraging AI and ML to…
Added 3 days ago
Intermediate Python Engineer
Citi
Mississauga, ON
Full-time
The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application…
Added 4 days ago
Senior AI Engineer
Tundra Technical Solutions
Toronto, ON
$80 to $88 CAD / hour
Contract
We are looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents, integrating advanced AI capabilities into enterprise…
Added 6 days ago
Senior Software Quality Engineer – AI
PeoplePilot
Toronto, ON
Full-time
We are seeking a Senior Software Quality Engineer – AI Focused to drive quality, reliability, and automation for AI-enabled software products. The role will collaborate with Development,…
Added 16 days ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
Machine Learning Engineer, Associate Director – AI Innovation Teams
Added 7 days ago
Senior Quality Engineer – Test Automation, AI Testing & Java/Python
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
Quality Engineer – Test Automation, Java/Python & GenAI
Added 20 days ago
Machine Learning Engineer, Associate Director
Fitch Group, Inc.
Toronto, ON
Full-time
Machine Learning Engineer, Associate Director – AI Innovation Teams
Added 13 days ago
Senior Data Engineer, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
Full-time
Custom Solutions. Engineer data services and APIs that close gaps between Aladdin native functionality and what our investment, risk, performance, and finance teams require.
Added 13 days ago
Data Engineer, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
Full-time
…someone to simply complete tickets. We are looking for a future senior engineer - someone who wants to learn how enterprise data platforms are built, operated, and scaled, and who is…
Added 18 days ago
Staff Software Engineer, AI
Hudson Talent Solutions
Toronto, ON
Full-time
This is a senior technical leadership role focused on building production-grade AI systems, RAG architectures, agent-based workflows, and LLM-powered applications that support legal, tax,…
Added 18 days ago
Senior Machine Learning Developer
BMO
Toronto, ON
Full-time
BMO is seeking a Senior Machine Learning Engineer to join our team in Toronto. This role is ideal for an experienced technology professional with expertise in Machine Learning, Python…
Added 20 days ago
Staff Software Engineer, AI
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
Full-time
…backing, data, and reach of a global leader. As a Staff Software Engineer, AI, you'll take the lead in developing the intelligent systems powering the next generation of expert solutions…
Added 21 days ago
Generative AI Engineer -Vice President
Citi
Mississauga, ON
Full-time
We're searching for a highly skilled and experienced senior engineer and Python expert to lead the design and development of the various AI-related technologies as part of the Services Tech…
Added 20 days ago
Lead Software Engineer, AI & Emerging Tech
CPP Investments | Investissements RPC
Toronto, ON
Full-time
You’ll partner with cross-functional teams like Information Security, Engineering, Risk, Legal and Compliance teams to define and agree on AI platform controls, implement those controls…
Added 19 days ago
Python Developer
Open Systems Technologies
Mississauga, ON
Contract
This is a development position within the Technology organization responsible for building and supporting modern software solutions leveraging Python, microservices, APIs, event-driven…
Added 19 days ago
Senior Machine Learning Developer
BMO
Toronto, ON · BMOPLACE
Full-time
BMO is seeking a Senior Machine Learning Engineer to join our team in Toronto. This role is ideal for an experienced technology professional with expertise in Machine Learning, Python…
Added 23 days ago
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
$113,000 to $152,000 CAD / year
Full-time
IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our…
Added 21 days ago
Consultant senior - Modernisation des applications | Sr. Consultant - Application Modernization, AWS Professional Services
Amazon
Montreal, QC
…notamment via les techniques de modernisation accélérées par l'IA générative (GenAI). Vous serez un acteur clé de la réussite des clients dans leur adoption du cloud, en apportant votre…
Added 26 days ago
Senior Software Engineer, AI
Calabrio
Canada
Full-time
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 23 days ago
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
Full-time
IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our…
Added 24 days ago
Senior Full Stack Software Engineer
Manulife
Toronto, ON
Full-time
We're seeking a Senior Full-Stack Engineer with strong software engineering expertise and experience in derivatives trading systems. In this role, you'll design, develop, and support…
Added 25 days ago
Senior AI Engineer
Manulife
Toronto, ON · Waterloo, ON
Full-time
As a Senior AI Engineer, you will be responsible for Full-Stack Software Development i.e. building modern, cloud-based, and AI-enabled applications that help Manulife make decisions easier…
Added 25 days ago
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 26 days ago
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 1 month ago
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
Full-time
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…

BMO

Senior Machine Learning Developer

Toronto, ON, Canada

Pay: $70,000.00 - $150,000.00
Job type: Full-time
Apply by: Oct 2, 2026
Experience: 7+ years of experience in Software Engineering, Machine Learning Engineering, Artificial Intelligence, or a related technology discipline.
Posting language: English
Posted: Sep 2, 2026

Apply About employer

Applications open in a new tab.

Original job description

Location: Toronto, ON (Hybrid)

Overview

BMO is seeking a Senior Machine Learning Engineer to join our team in Toronto. This role is ideal for an experienced technology professional with expertise in Machine Learning, Python development, AWS cloud technologies, and solution design who is passionate about leading the delivery of innovative AI and machine learning solutions at enterprise scale.

As a Senior Machine Learning Engineer, you will lead complex machine learning and AI initiatives from concept through implementation. Working closely with business stakeholders, product teams, architects, data engineers, and technology partners, you will translate business objectives into scalable technical solutions and drive projects through all stages of the delivery lifecycle.

The successful candidate will combine strong technical expertise with solution design and project leadership capabilities. You will be responsible for leading the delivery of strategic initiatives, influencing technical direction, and ensuring the successful implementation of secure, scalable, and high-performing machine learning solutions that deliver measurable business value.

Key Responsibilities

Lead the delivery of machine learning and AI initiatives from requirements definition through design, development, deployment, and production support.
Partner with business and technology stakeholders to understand objectives, define technical approaches, and develop implementation roadmaps.
Drive end-to-end execution of complex projects, coordinating activities across engineering, data, infrastructure, security, and platform teams.
Design scalable, resilient, and maintainable machine learning solutions aligned with enterprise architecture standards and business objectives.
Develop and maintain production-ready applications and machine learning services using Python and modern software engineering practices.
Lead solution design activities and contribute to architectural decisions that support long-term scalability, reliability, and operational excellence.
Design and implement cloud-native applications and services leveraging AWS technologies.
Build, deploy, and optimize machine learning models in production environments.
Drive the adoption of MLOps practices, including CI/CD, model lifecycle management, monitoring, automation, and observability.
Ensure solutions meet security, compliance, performance, and operational requirements.
Identify project risks, dependencies, and technical challenges, developing mitigation strategies to support successful delivery.
Collaborate with Enterprise Architecture and engineering teams to ensure alignment with broader technology strategies and standards.
Evaluate emerging technologies and recommend improvements that enhance platform capabilities, scalability, and business outcomes.
Lead troubleshooting and root cause analysis activities for complex production issues.
Support project planning, estimation, and technical delivery activities across multiple concurrent initiatives.
Apply BMO's Risk Management Framework and adhere to all applicable regulatory, security, and governance standards.

Required Technical Skills

Python & Software Engineering

Advanced proficiency in Python application development.
Strong experience building enterprise-grade applications, APIs, and machine learning services.
Hands-on experience with libraries and frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, FastAPI, or equivalent technologies.
Strong understanding of software design patterns, testing methodologies, code quality standards, and modern development practices.

AWS Cloud & Solution Design

Strong experience designing and implementing cloud-native solutions in AWS.
Experience with AWS services including SageMaker, Lambda, API Gateway, S3, IAM, CloudWatch, EventBridge, ECS, EKS, and related technologies.
Strong knowledge of serverless, distributed, and event-driven architectures.
Proven ability to design scalable, secure, and highly available solutions supporting enterprise workloads.

Machine Learning & MLOps

Experience developing, deploying, monitoring, and optimizing machine learning models in production environments.
Strong understanding of machine learning techniques, feature engineering, model evaluation, and deployment best practices.
Experience implementing MLOps capabilities, CI/CD pipelines, automation frameworks, and model governance practices.
Knowledge of model monitoring, observability, and operational excellence principles.

Qualifications

Required

7+ years of experience in Software Engineering, Machine Learning Engineering, Artificial Intelligence, or a related technology discipline.
Proven experience leading the delivery of complex machine learning, AI, data, or cloud technology initiatives within enterprise environments.
Demonstrated experience translating business requirements into technical solutions, architecture designs, and implementation plans.
Strong experience working across cross-functional teams, including business, data, engineering, and infrastructure stakeholders.
Advanced proficiency in Python development.
Strong experience designing and implementing cloud-native solutions using AWS.
Experience with APIs, microservices, distributed systems, and modern architecture patterns.
Strong understanding of software engineering principles, DevOps practices, testing methodologies, and the software development lifecycle.
Experience with Git, CI/CD pipelines, and Agile delivery methodologies.
Excellent analytical, problem-solving, communication, and stakeholder management skills.

Preferred

Experience delivering enterprise-scale AI and Machine Learning platforms and solutions.
Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI-powered applications.
Experience with AWS SageMaker and cloud-based machine learning platforms.
Experience with containerization technologies, Kubernetes, and platform engineering practices.
AWS certifications such as Solutions Architect or Machine Learning Specialty.
Experience within financial services or other highly regulated industries.
Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Mathematics, or a related field.

Why Join BMO?

This is an opportunity to lead strategically important AI and Machine Learning initiatives that drive innovation across the bank. You will work on enterprise-scale solutions, influence technology direction, and partner with diverse teams to deliver impactful outcomes while helping shape the future of AI and advanced analytics at BMO.

Salary:

$70,000.00 - $150,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Apply About employer

More about this job

Responsibilities

Lead the end-to-end delivery of complex machine learning and AI initiatives from concept through production support. Design and implement scalable, secure, and high-performing cloud-native solutions using AWS to drive measurable business value.

Requirements

Requires over 7 years of experience in software or ML engineering with advanced proficiency in Python and AWS cloud services. Candidates should have a proven track record of leading enterprise-scale AI projects and implementing MLOps practices.

Skills

Python
AWS
Machine Learning
MLOps
Solution Design
Software Engineering
SageMaker
FastAPI
PyTorch
TensorFlow
CI/CD
Distributed Systems
API Development
Model Monitoring
Cloud-native Architecture
Agile

Benefits

Health Insurance
Tuition Reimbursement
Accident Insurance
Life Insurance
Retirement Savings Plans
Performance-based Incentives
Discretionary Bonuses

Visa sponsorship

Not detected in the job text

Keywords

Python
AWS
Machine Learning
AI
MLOps
SageMaker
Lambda
API Gateway
S3
IAM
CloudWatch
EventBridge
ECS
EKS
Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
FastAPI
Generative AI
LLM
RAG
CI/CD
Kubernetes
Microservices
Financial Services
Agile
Git
Distributed Systems

Report this job