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Added 18 days ago
Associate Principal Engineer - Snowflake AI Architect
Nagarro
Brampton, ON
Full-time
Partner with senior business stakeholders, data scientists, and engineering leaders to identify high-value AI/ML use cases and translate requirements into deliverable architecture.
Added 23 days ago
Senior Software Engineer - Cloud Platform & Data Architecture
USA Tech Recruit
Toronto, ON
Full-time
We are looking for a Senior Software Engineer: Cloud Platform & Data Architecture to architect and build the foundational cloud services powering this next-generation platform. This is a…
Added 19 days ago
Senior Software Engineer, Infrastructure
Stream
Remote, Canada
Full-time · Remote
We are hiring a Senior Software Engineer to help rebuild the platform underneath Stream. Over the next year the infrastructure team is moving from AWS to GCP, moving onto Kubernetes, and…
Added 22 days ago
Senior Data Engineer / Ingénieur(e) de données senior
Aduna Global
Montreal, QC
Full-time
Behind those APIs sits data our teams must be able to trust: CAMARA API transaction data, operator (CSP) usage records, and cross-operator analytics that feed our BI, analytics, and ML. As…
Added 23 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 24 days ago
Technical Delivery Manager
Jolera
Toronto, ON
$100,000 to $130,000 CAD / year
Full-time
10+ years across enterprise infrastructure roles, including time as a senior architect, principal engineer, lead consultant, or senior delivery role with real technical depth
Added 23 days ago
Director & Principal Engineer, AI/ML & MLOps Platform
RBC
Vancouver, BC
Full-time
We’re seeking a Director & Principal Engineer, AI/ML & MLOps Platform, who brings a unique blend of deep technical expertise and strategic leadership. This is a hands-on engineering…
Added 23 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 23 days ago
Senior ML Engineer, ML Platform - GFT
RBC
Vancouver, BC
Full-time
This role is ideal for an engineer who combines Python programming, system design, and cloud engineering skills with a solid understanding of machine learning model lifecycle management…
Added 25 days ago
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 29 days ago
SSO Integrations
eBay
Toronto, ON
Full-time
Job Description: Senior Single Sign-On (SSO) & IAM Engineer
Added 22 days ago
Senior Full Stack Engineer
RBC
Toronto, ON
Full-time
Sr. Full Stack Engineer is responsible for developing and maintaining the digital wealth management platform. This role involves building enterprise APIs and database solutions as well as…
Added 22 days ago
Senior Full Stack Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Sr. Full Stack Engineer is responsible for developing and maintaining the digital wealth management platform. This role involves building enterprise APIs and database solutions as well as…
Added 24 days ago
Staff Engineer - Backend & Architecture
MapsPeople
Toronto, ON
Full-time
…navigation for large enterprise customers worldwide. Our AI-led platform, MapsIndoors, brings together indoor mapping, wayfinding, location intelligence, and real-time spatial data to help…
Added 22 days ago
Full Stack Engineer - Senior Vice President
Citi
Mississauga, ON
Full-time
Citi is hiring a Head of Application Development at the Senior Vice President level to lead enterprise-scale CRM and financial platform engineering within the Institutional Services Group…
Added 22 days ago
Senior Agentic AI Engineer
Citi
Mississauga, ON
We are seeking an experienced Senior Generative AI Developer to help drive the design, development, and integration of state-of-the-art Generative AI and agentic AI solutions across our…
Added 22 days ago
Senior Full-Stack Software Engineer
Altis Labs
Remote, Canada
Full-time · Remote
Altis Labs is recruiting a Senior Full-Stack Software Engineer with an entrepreneurial, product-focused mindset. You'll design and implement testable, scalable code as we expand our…
Added 22 days ago
Staff Technical Architect
Appnovation Technologies
Toronto, ON
As a Senior Technical Architect (Director level), you will join a highly motivated and experienced team as the technical leader accountable for crafting the technical strategy and…
Added 23 days ago
Staff Software Engineer - Embedded Software Platform
General Motors
Markham, ON
Full-time
General Motors is seeking a Staff Software Engineer to shape and scale the engineering platforms that build, test, integrate, validate, and deliver embedded software for software-defined…
Added 23 days ago
Senior Observability Engineer
CI Financial
Toronto, ON
Full-time
Own monitoring governance practices related to telemetry quality, alert design, data retention, platform usage standards, and operational reporting
Added 23 days ago
Senior Systems Engineering
General Motors
Oshawa, ON · Markham, ON
Full-time
The Senior Systems Engineer will join the Systems Engineering team within the Device Data Capture and Data Engineering organization and help define, integrate, and ensure validation…
Added 23 days ago
Senior Software Engineer
Fleetworthy
Edmonton, AB
The Senior Software Engineer is a hands-on technical contributor embedded in our agile development organization, helping build and deliver our next-gen compliance platform. You bring the…
Added 26 days ago
Staff Software Engineer
BNV Recruiting
Toronto, ON · Greater Toronto Area, Canada
Full-time
🚀 Staff AI Engineer - Confidential Talent Network
Added 26 days ago
Presales Solution Architect
Centrilogic
ON · Ontario, Canada
Full-time
This is a senior, client-facing generalist role. You sit between Azure infrastructure, Microsoft AI, data platform modernization and the sales team, and you are the technical voice on…
Added 26 days ago
Senior Backend Engineer .NET & Python
PosiTrace
Vancouver, BC
$110,000 to $145,000 CAD / year
Full-time
PosiTrace builds a real-time GPS fleet tracking SaaS platform -- vehicle location, telemetry processing, reporting, dispatching, and fleet management tools for SMB and enterprise customers…

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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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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