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Added 29 days ago
HT
Staff Software Engineer, AI
Hudson Talent Solutions
Toronto, ON
- Full-time
We're seeking a Staff Software Engineer, AI to help lead the design, development, and scaling of enterprise AI solutions at Thomson Reuters.
Added 24 days ago
KD
AI/ML Engineer
Katalyst Data Management
Calgary, AB
- Full-time
Join the dynamic and collaborative team at Katalyst Data Management (KDM)! KDM is seeking an AI/ML Engineer to support the operation, optimization, and reliability of the infrastructure…
Added 28 days ago
F
Senior Data Engineer / Ingénieur(e) de données senior
Flinks
Remote, Canada
- Full-time
- Remote
We're hiring our Senior Data Engineer (Data / ML Platform) to stand up data engineering as a discipline at Flinks. You'll own the data and ML platform that turns models into reliable…
Added 1 month ago
Senior, AI & Data Science
Artefact
Montreal, QC
Cloud certifications, especially Google Cloud Professional Machine Learning Engineer.
Added 1 month ago
JG
Senior Machine Learning Engineer
J&M Group
Toronto, ON
- Full-time
We are looking for an experienced Senior Machine Learning Engineer to support the AI CoE s Machine Learning and Data Science initiatives.
Added 1 month ago
S
Solutions Architect
Shakudo
Toronto, ON
- Full-time
Work with cutting-edge technologies in machine learning and high-performance computing
Added 1 month ago
I
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
- Full-time
…AI and Data Scientist will build and advance the models and machine-learning methods, data pipelines, evaluation and tuning frameworks, and monitoring that power that mission across our AI…
Added 1 month ago
V
Lead Full-Stack GenAI Engineer
Vancity
Vancouver, BC
- Full-time
Minimum 8 years of progressive experience in software engineering, full-stack development, machine learning engineering, or AI solution delivery
Added 2 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 1 month 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 1 month 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 5 months 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 month ago
AS
AI Software Engineer
Associate Staffing
Richmond, BC
- Contract
…back-office operations, and financial performance. In this senior contract role, you’ll design, develop, and deploy production-ready AI products - working closely with engineers, data…
Added 1 month ago
B
Principal Architect, AI Platform
BMO
Toronto, ON · BMOPLACE
- Full-time
…architectural decisions under ambiguity, and the influence to align senior leaders on architectural…
Added 3 months ago
S
Solutions Architect
Shakudo
Toronto, ON
- Full-time
Work with cutting-edge technologies in machine learning and high-performance computing
Added 5 months ago
GM
Data Scientist
Gibraltar Mine
McLeese Lake, BC
- Full-time
Gibraltar Mine currently uses machine learning tools in our milling processes. This role’s key function would be to assist in developing and maintaining these tools by:
Added 1 month ago
Senior, AI & Data Science
Artefact North America
Montreal, QC
Cloud certifications, especially Google Cloud Professional Machine Learning Engineer.
Added 1 month ago
Senior, AI & Data Science
Welcome to the Jungle
Montreal, QC
Cloud certifications, especially Google Cloud Professional Machine Learning Engineer.
Added 1 month ago
H
Senior Software Engineer, Machine Learning
Hive
Remote, Canada
- $123,600 to $187,900 USD / year
- Full-time
- Remote
As a Senior Data Engineer, you’ll play a vital role in evolving our data platform, which directly determines what our customers can do, how fast our product moves, and how confidently…
Added 1 month ago
Senior Python Developer
Ampliwork
Montreal, QC
While experience with Generative AI and agentic systems is important, we are primarily looking for a strong senior Python engineer who knows how to build reliable, scalable enterprise…
Added 1 month ago
S
Senior AI/ML & Robotics Platform Engineer
Siemens
Kitchener, ON
- Full-time
…advanced AI systems? Do you enjoy working at the boundary between machine learning, robotics, data engineering, evaluation, and industrial…
Added 1 month ago
K
Senior Software Engineer, AI
Klue
Toronto, ON
- $140,000 to $230,000 CAD / year
- Full-time
We're looking for a Senior Software Engineer to join our team in Toronto, focusing on building and optimizing state-of-the-art LLM-powered agents that can reason, plan and automate…
Added 1 month ago
R
Senior Machine Learning Engineer
Remitly
Burnaby, BC
- Full-time
As a Senior Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our AI strategy. The Core AI/ML team is responsible for building the foundational machine…
Added 2 months ago
L
Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
As a Principal AI/ML Engineer, you will define and drive implementation approaches for enterprise-scale AI initiatives that transform how lululemon operates and delivers value. You will…
Added 2 months ago
T
Senior AI Engineer - Tangerine
Tangerine
Toronto, ON
- Full-time
The Senior AI Engineer is responsible for the engineering execution and delivery of technology solutions that support Tangerine’s AI platform. This role ensures the timely delivery,…

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.

Find open jobs More jobs with this employer

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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