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Added 19 days ago
Cloud & DevOps Specialist
Montrium Inc
Montreal, QC
Full-time
Reporting to the Head of IT Operations & Cloud, the Cloud & DevOps Specialist helps maintain, secure, automate, and improve Montrium’s Microsoft Azure environments. The role supports the…
Added 18 days ago
Senior Machine Learning Developer
BMO
Toronto, ON
Full-time
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…
Added 21 days ago
Senior Data Engineer
RBC
Vancouver, BC
Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 21 days ago
Senior Data Engineer
RBC
Vancouver, BC
Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 20 days ago
Lead Data and AI Quality Engineer
RBC
Toronto, ON
Full-time
Solid understanding of DevOps practices and containerization
Added 18 days ago
Staff Data Platform Engineer - Snowflake
RBC
Toronto, ON
Full-time
Join RBC's Cloud Data Lake Platform (Snowflake) Engineering team as a Staff Data Platform Engineer, where you'll play a critical role in designing, building, and operating one of Canada's…
Added 11 days ago
Staff Data Engineer
RBC
Toronto, ON
Full-time
…business and clients. We are all in with Agile development, DevOps, Open Source, Software as a Service (SaaS) and modern tools and…
Added 6 months ago
Software Engineer I
Beanfield Technologies Inc.
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
We are seeking a motivated Software Engineer to join our technology team. This role focuses on designing, developing, and enhancing backend systems, APIs, and data processing tools using…
Added 17 days ago
Staff ML Engineer
Royal Bank of Canada
Toronto, ON
Full-time
…business and clients. We are all in with Agile development, DevOps, Open Source, Software as a Service (SaaS) and modern tools and…
Added 17 days ago
Lead Agentic AI Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
$98,000 to $138,000 CAD / year
Full-time
…financial future for the healthcare community. As a Lead Agentic AI Engineer, you will work directly with engineers, architects, security, governance, and business partners to find…
Added 17 days ago
Senior DevOps Engineer
Samsung Electronics
Vancouver, BC
Full-time
We are looking for a Senior DevOps Engineer to join our Vancouver team.
Added 19 days ago
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada
Ottawa, ON
$96,557 to $128,743 CAD / year
Full-time
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 19 days ago
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada
Toronto, ON
$96,557 to $128,743 CAD / year
Full-time
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 19 days ago
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada
Calgary, AB
$96,557 to $128,743 CAD / year
Full-time
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 19 days ago
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada
Halifax, NS
$96,557 to $128,743 CAD / year
Full-time
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 19 days ago
Sr. Ruby on Rails Engineer
TriCom Technical Services
Montreal, QC
Full-time
Collaborate with Product, QA, and DevOps teams to ship features and improvements on schedule.
Added 19 days ago
Platform Engineer
Swoon
Toronto, ON
Contract
…business. The Venture's team is looking for a Cloud Platform Engineer to help build scalable, cloud-native infrastructure and developer tooling that will power the client's next generation…
Added 17 days ago
Senior Quality Assurance Engineer
BCAA
*Head Office
Full-time
As a Senior QA Engineer, you will play a key role in ensuring the stability, performance and quality of applications and systems that support Evo Car Share, Evolve Bike Share, Auto Service…
Added 16 days ago
QA Engineer III
Zafin
Toronto, ON
The QA Engineer III will be responsible for leading and executing functional quality assurance activities for complex banking and financial applications. The role requires strong hands-on…
Added 16 days ago
Sr. DevOps Engineer
Borrowell
Remote, Canada
$100,000 to $150,000 CAD / year
Full-time · Remote
We are seeking a Senior DevOps Engineer to design, automate, and manage the mission-critical cloud infrastructure supporting our marketplace. As a key member of our DevOps team, you will…
Added 17 days ago
Principal Development Architect
SAP
Montreal, QC
The AI Development Architect will work closely with our customers, product managers, data scientists, developers, User experience designers and enterprise architects to translate business…
Added 17 days ago
Intermediate Software Developer
March Networks
Remote, Canada
Full-time · Remote
o 3–5 years of experience in Developer Experience, DevOps, cloud infrastructure, or related roles.
Added 17 days ago
Senior Data Engineer
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 17 days ago
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 17 days ago
Senior DevOps & Quality Engineering (QE) Engineer – Salesforce
Royal Bank of Canada
Mississauga, ON
Full-time
We are looking for a highly experienced Senior DevOps & Quality Engineering (QE) Engineer to drive DevOps, CI/CD, release automation, and Quality Engineering practices for Salesforce…

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

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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.

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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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