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Added 1 hour ago
Associate Manager, Data Engineering
Avanade
Toronto, ON
Full-time
Experience designing and implementing modern data architectures including Lakehouse, Data Warehousing, Data Mesh, streaming, and cloud-native analytics platforms.
Added 5 hours ago
AI Developer (LLM & Agentic Systems)
WSP in Canada
Vancouver, BC
Full-time
Develop backend APIs and cloud‑native components that support scalable data and analytics workflows.
Added 5 hours ago
AI Developer (LLM & Agentic Systems)
WSP in Canada
Calgary, AB
Full-time
Develop backend APIs and cloud‑native components that support scalable data and analytics workflows.
Added 5 hours ago
AI Developer (LLM & Agentic Systems)
WSP in Canada
Toronto, ON
Full-time
Develop backend APIs and cloud‑native components that support scalable data and analytics workflows.
Added 5 hours ago
Development Team Lead
UniSysTech Consulting
Toronto, ON · Greater Toronto Area, Canada
Other
Architecture & Hands-On Engineering: Drive the design and development of modern cloud-native architectures using Node.js and AWS Serverless components, maintaining an ~80/20 balance between…
Added 5 hours ago
AI Developer (LLM & Agentic Systems)
WSP in Canada
Vancouver, BC
Full-time
Develop backend APIs and cloud‑native components that support scalable data and analytics workflows.
Added 5 hours ago
Digital Architect – Data - GOAPRDJP00000987
S M Software Solutions Inc
AB · Edmonton, AB
Full-time
…and data-driven services across multiple releases, leveraging cloud-native and AI-enabled technologies where appropriate – 5…
Added 5 hours ago
Digital Architect – Data - GOAPRDJP00000987
S M Software Solutions Inc
AB · Edmonton, AB
Full-time
…and data-driven services across multiple releases, leveraging cloud-native and AI-enabled technologies where appropriate – 5…
Added 5 hours ago
Digital Architect – Data - GOAPRDJP00000987
S M Software Solutions Inc
AB · Edmonton, AB
Full-time
…and data-driven services across multiple releases, leveraging cloud-native and AI-enabled technologies where appropriate – 5…
Added 5 hours ago
Senior Developer Support Engineer - Builder Experience (BX)
Okta
Toronto, ON
As a Senior Developer Support Engineer on the Builder Experience team, you are a hands-on technical problem solver passionate about helping Okta’s customers, ISVs, GSIs, and partners…
Added 5 hours ago
Staff Software Developer, Front End
Intuit
Toronto, ON
Full-time
The team is building and driving critical services that power the new AI native web apps and plugins registries, runtime and rendering. In this position, you will have the opportunity to…
Added 5 hours ago
IT Cloud Cybersecurity Specialist
Kruger Inc.
Montreal, QC
Full-time
Lead Azure security posture improvement initiatives using Microsoft Defender for Cloud, Secure Score, and cloud-native security controls.
Added 5 hours ago
Principal Cloud & AI Apps Solution Engineer
Microsoft
Toronto, ON
Full-time
…applications and leading complex customer transformations? As a Cloud & AI Apps Solution Engineer, you will bring deep technical expertise in agentic AI, AI application architecture, and…
Added 5 hours ago
AI Software & Data Engineering Developer
Ericsson
Ottawa, ON
Full-time
…preferably in telecommunications software, with a background in cloud-native and/or custom software using containers, Kubernetes, Python, Java, shell scripting, and Linux…
Added 7 hours ago
Cloud Analyst
Sun Life Québec
Montreal, QC
Full-time
Exposure to systems provisioning and configuration management using automation tools such as Terraform, Ansible, Jenkins, Kubernetes, Backstage or other cloud-native technologies.
Added 7 hours ago
Platform Team Lead
nesto
Canada
Full-time
Nesto Cloud is Canada's cloud-native and AI driven, end-to-end mortgage technology platform, helping financial institutions modernize lending through AI intelligent automation, AI & Cloud…
Added 7 hours ago
Staff Software Engineer, Core Applications
Solink
Remote, Canada
$138,445 to $173,056 USD / year
Full-time · Remote
Our cloud-based platform integrates seamlessly with your existing cameras and systems, turning them into intelligent sensors that detect and interpret key moments. This empowers teams to…
Added 7 hours ago
Principal Research Scientist
ServiceNow
Montreal, QC
Full-time
…500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting…
Added 7 hours ago
Senior Platform Developer
nesto
Canada
Full-time
Nesto Cloud is Canada's cloud-native and AI driven, end-to-end mortgage technology platform, helping financial institutions modernize lending through AI intelligent automation, AI & Cloud…
Added 7 hours ago
Software Development Engineer
Affinity
New Westminster, BC
Contract
On behalf of our client, Affinity is seeking a Full Stack Developer for a 6 month contract.
Added 7 hours ago
Site Reliability Engineer II (AI Platform)
OpenTable
Toronto, ON
…a subject matter expert for Kubernetes, Linux systems, and cloud-native automation, directly driving the reliability, security, and efficiency of our platform. In this role, you will…
Added 8 hours ago
Thanks for visiting our Job Board. Please review our open positions and apply to the positions that match your qualifications.
Evertz
Burlington, ON
Full-time
Evertz.io is redefining how media organizations manage and distribute content in the cloud. Our platform delivers scalable, flexible, and cost-efficient solutions for both file-based and…
Added 8 hours ago
Software Developer I
Walmart Canada
Mississauga, ON
Full-time
Position Summary...Software Developer I designs, develops, tests, and maintains software applications and data solutions. This role may also involve data profiling and creating reports to…
Added 8 hours ago
Kubernetes Reliability Engineer
Roche
Mississauga, ON · Canada Pharma Campus
Full-time
…responsible for solving complex business problems using advanced cloud native technologies. The engineer will build and maintain a Kubernetes-based infrastructure, enabling the…
Added 8 hours ago
Senior Software Engineer, AI Enablement
Xero
Vancouver, BC
Full-time
You're curious about coding agents and AI-native tools, and you keep an eye on where AI engineering is heading

Closed listing

AceStack

Senior Machine Learning Engineer // Toronto, ON // Hybrid : FTE

Toronto, ON, Canada

Job type: Full-time
Closing date: Oct 29, 2026
Posting language: English
Posted: Sep 29, 2026

This opening has closed.

The original listing is kept below for reference.

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Original job description

Archived listing. The details below describe a past opening.

Role: Senior Machine Learning Engineer

Location: Toronto, ON

Work Model: Hybrid

Experience: 10+

Role Overview

We are seeking an experienced Senior Machine Learning Engineer to support the AI CoE’s Machine Learning and Data Science initiatives. The ideal candidate will have strong hands-on expertise in designing, developing, deploying, and operationalizing end-to-end machine learning solutions in cloud environments.

This is a highly technical and hands-on role focused on taking ML solutions from proof of concept to production, building scalable ML pipelines and services, and supporting models throughout their production lifecycle.

Key Responsibilities

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Design, develop, deploy, and operationalize end-to-end machine learning solutions in cloud environments.

•

Perform data preparation, feature engineering, model development, validation, deployment, monitoring, and production support.

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Build scalable and reusable ML pipelines and services for enterprise AI applications.

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Develop and maintain machine learning solutions using Python and SQL.

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Leverage Azure ML, Databricks, and MLflow for model development, experiment tracking, deployment, and lifecycle management.

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Implement MLOps practices, including model versioning, automated deployment, CI/CD, monitoring, and governance.

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Build and maintain automated CI/CD pipelines for machine learning workloads and production deployments.

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Deploy ML models and services using cloud-native architectures and enterprise deployment practices.

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Monitor model performance, data quality, system health, and production workloads; troubleshoot and resolve issues as required.

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Collaborate with Data Scientists, Data Engineers, Software Engineers, and business stakeholders to deliver production-ready AI solutions.

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Help establish and improve standards for ML engineering, deployment, monitoring, and lifecycle management across the AI CoE.

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Support the transition of ML prototypes and proof-of-concepts into scalable, reliable, production-grade solutions.

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Contribute to production support, continuous improvement, and optimization of deployed ML solutions.

Required Skills & Experience

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Strong hands-on experience as a Machine Learning Engineer / ML Engineer delivering production ML solutions.

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Expert-level proficiency in Python and SQL.

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Strong experience with Azure Machine Learning (Azure ML).

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Hands-on experience with Databricks and MLflow.

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Strong understanding of MLOps, ML lifecycle management, model deployment, and monitoring.

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Experience building and managing CI/CD pipelines for machine learning applications.

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Proven experience taking machine learning models from prototype/POC through production deployment.

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Strong understanding of data preparation, feature engineering, model development, validation, deployment, and production support.

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Experience building scalable ML pipelines and cloud-native ML services.

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Strong understanding of cloud-based machine learning architectures and enterprise application integration.

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Ability to work independently while collaborating effectively within cross-functional engineering and data science teams.

Nice to Have

•

Experience with Generative AI and Large Language Models (LLMs).

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Hands-on experience with Agentic AI frameworks and LLM-based applications.

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Knowledge of GenAIOps, including evaluation, monitoring, deployment, observability, and lifecycle management of GenAI solutions.

•

Experience integrating AI/ML solutions into enterprise applications and operational workflows.

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Experience with model governance, responsible AI, and enterprise AI standards.

About employer

More about this job

Responsibilities

Design, build, deploy, and operationalize end-to-end machine learning solutions, pipelines, and services using Python, SQL, Azure ML, Databricks, and MLflow. Implement MLOps and CI/CD practices, monitor and support production models, and collaborate with cross-functional teams to move prototypes into reliable enterprise solutions.

Requirements

Requires 10+ years of experience and strong hands-on expertise delivering production machine learning solutions, with expert-level Python and SQL skills and experience using Azure ML, Databricks, and MLflow. Candidates should understand MLOps, model lifecycle management, CI/CD, cloud-based ML architectures, and the process of taking models from prototype through deployment and production support.

Skills

Python
SQL
Azure Machine Learning
Databricks
MLflow
MLOps
Machine Learning
Feature Engineering
Model Deployment
Model Monitoring
CI/CD Pipelines
Cloud-Native Architectures
Generative AI
Large Language Models
Agentic AI
Model Governance

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Python
SQL
Azure Machine Learning
Databricks
MLflow
MLOps
Data Preparation
Feature Engineering
Model Development
Model Validation
Model Deployment
Model Monitoring
CI/CD
Cloud-Native Architecture
Machine Learning Pipelines
Production Support
Model Lifecycle Management
Generative AI
Large Language Models
Agentic AI
GenAIOps
Model Governance
Responsible AI
Enterprise AI

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