Date limite pour présenter sa candidature :
10/01/2026

Adresse :
33 Dundas Street West

Groupe de famille d'emploi :
Technologie

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 skilled 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

Solid 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.

Salaire :
$70,000.00 - $150,000.00

Type de rémunération :
Salaire

Ce qui précède représente la fourchette et le type de rémunération de BMO Groupe financier.

Les salaires varieront en fonction de facteurs comme l’emplacement, les compétences, l’expérience, les études et les qualifications pour le poste et pourront inclure une structure de commissions. Les salaires pour les postes à temps partiel seront calculés au prorata du nombre d’heures travaillées régulièrement. Pour les rôles à commission, le salaire susmentionné représente la cible de BMO Groupe financier pour la première année au poste.

La rémunération totale offerte par BMO variera selon le type de rémunération associé au poste et peut comprendre des primes de rendement, des primes discrétionnaires ainsi que d’autres avantages et récompenses. BMO offre également une assurance santé, le remboursement des frais de scolarité, une assurance accident et une assurance vie, ainsi que des régimes d’épargne-retraite. Pour en savoir plus sur nos avantages sociaux, consultez le site : https://jobs.bmo.com/ca/fr/R%C3%A9mun%C3%A9ration-globale

À propos de nous
À BMO, nous sommes animés par une raison d’être commune : Avoir le cran de faire une différence dans la vie, comme en affaires. Cette raison d’être nous invite à entraîner des changements positifs et durables pour nos clients, nos collectivités et nos gens. En travaillant ensemble, en innovant et en repoussant les limites, nous transformons des vies et des entreprises et favorisons la croissance économique partout dans le monde.

En tant que membre de l'équipe de BMO, vous êtes valorisé, respecté et entendu, et vous avez plus de moyens pour progresser et obtenir des résultats. Nous nous efforçons de vous aider à obtenir des résultats dès le premier jour, pour vous-même et nos clients. Nous vous offrirons les outils et les ressources dont vous avez besoin pour franchir de nouvelles étapes, car vous aidez nos clients à franchir les leurs. Au moyen de formation et de coaching approfondis ainsi que de soutien de la direction et d'occasions de réseautage, nous vous aiderons à acquérir une expérience enrichissante et à élargir votre groupe de compétences.

Pour en savoir plus, visitez-nous à l'adresse https://jobs.bmo.com/ca/fr.

BMO s'engage à offrir un milieu de travail inclusif, équitable et accessible. Nous apprenons de nos différences et tirons notre force des gens et de leurs différents points de vue. Des mesures d’adaptation sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection. Pour demander des mesures d’adaptation, veuillez communiquer avec votre recruteur.

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📌 Senior machine learning developer (Ontario)
🏢 BMO Financial Group
📍 Ontario