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Added 1 month ago
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Group Manager – Flow Monitoring
AECOM
Mississauga, ON · Markham, Ontario
- $130,000 to $160,000 CAD / year
- Full-time
Professional Engineer (P.Eng.) designation within Canada
Added 1 month ago
A
Summer 2027 Long Term Thermal Mechanical Test Engineer Intern/Co-op
AMD
Markham, ON
- $67,000 USD / year
- Full-time
…pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an…
Added 1 month ago
AI Security Engineer
Celestica International LP
Toronto, ON
Added 1 month ago
RS
Site Reliability Engineer
Redwood Software
ON
- $125,000 to $145,000 CAD / year
As a Site Reliability Engineer (SRE) / DevOps Engineer you will be responsible for ensuring the stability, performance, scalability, and reliability of Redwood’s mission-critical SaaS…
Added 1 month ago
AI and Data - Manager - AI/ML Engineer
EY
AB · Calgary, AB
Added 1 month ago
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Embedded Systems Engineer
Peripheral
Toronto, ON
- Full-time
Peripheral is developing spatial intelligence, starting in live sports and entertainment. Our models generate spatial data, used for advanced sports analytics and immersive media…
Added 1 month ago
EB
Lead AI Platform Engineer
EQ Bank
Toronto, ON
- Full-time
The Lead AI Platform Engineer is accountable for technical leadership, engineering excellence, reliability, operability, and the controlled enablement of the organization’s enterprise AI…
Added 1 month ago
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Cloud, Automation & AI Engineer Consultant
Deloitte
Toronto, ON
- Full-time
…infrastructure engineering, and the rapidly evolving world of Artificial Intelligence? Do you enjoy solving complex technical challenges and building scalable platforms that enable…
Added 1 month ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
Machine Learning Engineer, Associate Director – AI Innovation Teams
Added 1 month ago
FG
Machine Learning Engineer, Associate Director
Fitch Group, Inc.
Toronto, ON
- Full-time
Machine Learning Engineer, Associate Director – AI Innovation Teams
Added 1 month ago
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AI Benchmark Engineer | Native Language Specialist - French (Canada) - Remote
LILT
Remote, Canada
- Contract
- Remote
…want. Get paid quickly and fairly, and build your professional network in a supportive community - all through a streamlined application process tailored to your…
Added 1 month ago
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Data Analyst
Citylitics
Toronto, ON
- $65,000 to $80,000 CAD / year
- Full-time
Citylitics combines a network of AI agents, fine-tuned models, a proprietary infrastructure signals graph, and daily human-in-the-loop quality assurance workflows to deliver highly nuanced…
Added 1 month ago
CI
Software Engineer (Full Stack) - 6 Month Contract
Citylitics Inc.
Toronto, ON
- $100,000 to $140,000 CAD / year
- Contract
Citylitics combines a network of AI agents, fine-tuned models, a proprietary infrastructure signals graph, and daily human-in-the-loop quality assurance workflows to deliver highly nuanced…
Added 1 month ago
EL
Solutions Architect – Digital Identity, Telco & Data Platforms
EnStream LP
Toronto, ON
- Full-time
Provide solution architecture for capabilities such as SIM-based authentication, Number Verify, device intelligence, fraud signals, call intelligence, and telco-derived identity services.
Added 1 month ago
CI
Data Analyst
Citylitics Inc.
Toronto, ON
- $65,000 to $80,000 CAD / year
- Full-time
Citylitics combines a network of AI agents, fine-tuned models, a proprietary infrastructure signals graph, and daily human-in-the-loop quality assurance workflows to deliver highly nuanced…
Added 1 month ago
O
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 1 month ago
O
Data Engineer, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
- Full-time
…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 willing to do the…
Added 1 month ago
C
Senior Software Engineer - AI / ML
CyberCoders
Canada
- Full-time
We're looking for a Senior AI/ML Engineer to help expand our next-generation document intelligence system. Working in close collaboration with our Data Science team, you'll bring deep…
Added 1 month ago
Senior AI/ML Engineer
Katalyst Data Management
Calgary, AB
Join the dynamic and collaborative team at Katalyst Data Management (KDM)! KDM is seeking a Senior AI/ML Engineer to help design, build, and operate the infrastructure that powers our next…
Added 1 month ago
L(
AI Benchmark Engineer | Native Language Specialist - French (Canada) - Remote
LILT (Production)
Remote, Canada
- Contract
- Remote
…want. Get paid quickly and fairly, and build your professional network in a supportive community - all through a streamlined application process tailored to your…
Added 1 month ago
CI
Lead Software Engineer, AI & Emerging Tech
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
As a Lead Engineer for AI & Emerging Tech, you will drive AI platform enablement across the enterprise, you will drive the design, development, and deployment of next-generation tech and…
Added 1 month ago
P&
Digital Technologies Internship/Co-op / Stage ou programme coopératif en en technologies digitales
Procter & Gamble
Toronto, ON
- Full-time
…optimize company's go to market strategy, or apply business analytics skills to improve brand building experiences, among other interesting…
Added 1 month ago
SC
Senior Engineer - Operational Design & Engineering
Staples Canada
Richmond Hill, ON
- Full-time
Reporting to the Manager, Supply Chain Strategy & Engineering, the Senior Engineer, ODE will contribute to the design, evaluation, and implementation of distribution and fulfillment-related…
Added 1 month ago
FC
Senior Business Intelligence Developer Reporting & Analytics
Fidelity Canada
Toronto, ON
- Full-time
Maintain and re-engineer existing Business Intelligence, Access and Excel based reports.
Added 1 month ago
P&
Digital Technologies Internship/Co-op / Stage ou programme coopératif en en technologies digitales
Procter & Gamble
Toronto, ON
- Full-time
…optimize company's go to market strategy, or apply business analytics skills to improve brand building experiences, among other interesting…

Closed listing

BMO

Senior Machine Learning Developer

Toronto, ON, Canada

$70,000.00 - $150,000.00 · Full-time

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Pay: $70,000.00 - $150,000.00
Job type: Full-time
Closing date: 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

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Original job description

Archived listing. The details below describe a past opening.

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.

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

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