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Added 1 hour ago
Technical Architect- AI
Mphasis
Toronto, ON
Full-time
…AI, Vector Databases, and the Google AI ecosystem including Vertex AI and Gemini. The role requires a blend of strategic architecture leadership and hands-on technical expertise to deliver…
Added 2 hours ago
Manager, AI & Data Science - Tangerine
Scotiabank
ON · Toronto, ON
Experience with analytics tools such as Python, BigQuery, GCP, Vertex AI, SQL, or similar platforms.
Added 4 hours ago
Systems Engineer - End-to-End Software Diagnostics & Observability
EPITEC
Ottawa, ON
Contract
Experience with AI/ML frameworks and tools such as PyTorch, TensorFlow, scikit-learn, LangChain, Vertex AI, or BigQuery.
Added 5 hours ago
Senior Machine Learning Developer
Jobgether
Canada
Full-time
Familiarity with technologies such as LiveKit, Ray Serve, Dagster, Vertex AI, GCP, Kubernetes, Pulumi, or AI provider APIs is beneficial.
Added 5 hours ago
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Solid experience with cloud platforms, particularly Azure, including Azure AI Foundry and Azure OpenAI; working knowledge of GCP and Vertex AI is an asset.
Added 5 hours ago
Senior Software Developer, Full Stack, Applied AI Agent Studio
Urban Ridge Supplies
Toronto, ON
Full-time
The Developer Experience/CX Agent Studio (CXAS) Console team is harnessing the power of Google's next generation agentic development platform to empower anyone to build enterprise grade…
Added 5 hours ago
AI Solutions Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Experience on enterprise AI platforms (e.g., Azure OpenAI, Google Vertex AI, Anthropic APIs), including security and cost/performance trade-offs
Added 5 hours ago
Senior AI Engineer, IT Solutions 1
Urban Ridge Supplies
Toronto, ON
Full-time
Experience with Cloud AI Services (Azure AI Studio, AWS Bedrock, or Google Vertex AI [Preferred]).
Added 5 hours ago
Applied AI Engineer
Urban Ridge Supplies
Mississauga, ON
Full-time
…Enterprise, tool use, extended thinking, Claude Code; Gemini API, Vertex AI Agent Builder, grounding; OpenAI Assistants/Responses APIs, Agents…
Added 13 hours ago
Staff Marketing Technology Engineer
Absorb
Remote, Canada
Full-time · Remote
Experience building and deploying AI/LLM applications and agents (e.g., Vertex AI / Agent Builder, LangChain/LangGraph, or similar), API design (e.g., FastAPI), and evaluating AI system…
Added 22 hours ago
Lead SAP FSCM Applications consultant
Infosys
AB
Experience in the following areas: SAP S/4 HANA, Vertex, EDI , iDOC, GTS, SAP Receivables management
Added 1 day ago
Indirect Tax Manager - Canada
Stellantis Financial Services US
Toronto, ON
Full-time
Knowledge of tax automation solutions such as Avalara, Vertex, SAP Tax, OneSource, or similar platforms.
Added 1 day ago
Proposal Coordinator
Vertex Resource Group
Sherwood Park, AB
With these two words, Vertex makes the promise that we will always be versatile in developing solutions to our clients’ unique needs and that we will always demonstrate expertise in our…
Added 1 day ago
Technology Lead
Infosys
ON
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Added 1 day ago
AI Outcome Customer Developer, Forward Deployed Development
Google
Toronto, ON
As an AI Outcome Customer Developer in our GTM AI Tech organization, you work as an enterprise architect, technical debugger, development liaison and technical delivery manager. You will…
Added 1 day ago
AI Full Stack Development Lead
Accenture
Toronto, ON
Full-time
Develop and deploy applications on Google Cloud Platform (GCP) using cloud-native design principles including Vertex AI, Gemini API, and Cloud Run.
Added 1 day ago
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
Full-time
Exposure to agentic platforms or cloud AI services such as Vertex AI, Azure AI services, AWS AI services, or comparable platforms; specific platform experience is less important than…
Added 1 day ago
Architecte de solutions / Lead technique IA
Onepoint
Montreal, QC
Full-time
Expérience des plateformes infonuagiques (AWS, Azure, GCP) et des services IA infonuagiques (SageMaker, Azure Machine Learning, Vertex AI, Bedrock);
Added 2 days ago
Senior Manager - Program & Project Management
LTM
ON · Ontario, Canada
$81,215 to $133,000 USD / year
Full-time
Proven experience working with cloud based AI platforms Azure ML or AWS SageMaker or GCP Vertex AI
Added 2 days ago
Credit Risk Manager
Pwc Canada
Toronto, ON
Full-time
Experience and exposure to AI/ML modeling, including theoretical approach and related technology and platforms (such as Vertex AI, Azure AI, etc. ) would be an asset
Added 2 days ago
Credit Risk Manager
PwC Canada
Toronto, ON
Full-time
Experience and exposure to AI/ML modeling, including theoretical approach and related technology and platforms (such as Vertex AI, Azure AI, etc. ) would be an asset
Added 2 days ago
AI DevOps Specialist (AI Enablement & Secure DevOps)
Celestica International LP
Toronto, ON
…foundational AI cloud services (primarily Google Cloud Platform - Vertex AI), managing user-facing web interfaces (LibreChat or Gemini Enterprise Agent Platform), implementing agentic…
Added 2 days ago
Marketing Associate Director, CF
Vertex Pharmaceuticals
Toronto, ON
Full-time
Vertex is seeking an experienced marketing professional to join our Canadian team to lead our Cystic Fibrosis (CF) Marketing team. The Associate Marketing Director, CF Marketing will be a…
Added 3 days ago
Marketing Associate Director, CF
Vertex Inc.
Toronto, ON
Full-time
Vertex is seeking an experienced marketing professional to join our Canadian team to lead our Cystic Fibrosis (CF) Marketing team. The Associate Marketing Director, CF Marketing will be a…
Added 3 days ago
Generative AI Cloud Operations Engineer - Evinova
Evinova
Mississauga, ON
Full-time
Leverage Vertex AI, Azure Foundry, OpenAI, Anthropic, and other foundation model platforms to provide reliable and stable access to LLMs

Jobgether

Senior Machine Learning Developer

Canada

Pay: Base salary range of $200,000–$250,000 CAD.
Job type: Full-time
Experience: 6+ years of experience in software engineering or machine learning engineering, with demonstrated experience shipping ML- or LLM-powered systems to production.
Posting language: English
Posted: Sep 24, 2026

Apply About employer

Applications open in a new tab.

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Machine Learning Engineer based in Canada.

This is an opportunity to build and ship production-grade ML and AI systems that interact with thousands of customers every day.

You’ll develop conversational AI for voice and SMS, enabling agents to understand customer needs, take action, and operate autonomously when appropriate.

The role spans product development, machine learning, LLM applications, evaluation systems, and ML infrastructure.

You’ll help establish an evaluation-first engineering culture where AI quality is measured continuously before and after release.

Working across product squads, you’ll build shared tooling, observability, and platform capabilities that accelerate reliable AI development.

You’ll also influence technical standards through design reviews, mentorship, technical writing, and hands-on engineering leadership.

This is a highly autonomous role suited to someone who enjoys solving complex problems in a fast-moving, high-growth environment.

Accountabilities

Build conversational AI systems for phone and SMS that understand customer needs, perform actions, and determine when autonomous behavior is appropriate.
Develop AI tooling such as memory systems, knowledge graphs, and validated customization capabilities that enable agents to adapt to different business needs.
Train, evaluate, deploy, and maintain ML models for prediction, classification, ranking, and capacity forecasting using technologies such as Ray Serve and Dagster.
Create offline and online evaluations, simulations, and CI quality gates to identify regressions and continuously measure AI performance.
Develop shared evaluation, observability, and LLM tooling that enables product teams to deliver AI capabilities more quickly and reliably.
Contribute to ML platform capabilities including model serving, LLM infrastructure, and production monitoring.
Drive engineering quality through design and code reviews, technical documentation, and mentorship.
Take ownership of projects from problem definition through deployment, monitoring, iteration, and continuous improvement.
Help turn lessons learned from individual product teams into reusable platform capabilities.

Requirements

6+ years of experience in software engineering or machine learning engineering, with demonstrated experience shipping ML- or LLM-powered systems to production.
Strong Python skills and solid software engineering fundamentals, with an emphasis on maintainable, testable, and reliable code.
Hands-on experience developing AI systems, including ML model training and deployment and/or LLM applications involving prompting, tool use, agents, retrieval, or related technologies.
Strong understanding of how AI systems behave in production and the ability to identify limitations, failure modes, and quality issues.
An evaluation-first mindset, with the ability to use measurement and experimentation to distinguish genuine improvements from noise or regressions.
Comfort working independently in ambiguous product environments, with sound judgment around when to prioritize depth, speed, or experimentation.
Strong ownership and communication skills, with the ability to take initiatives from problem framing through production delivery and ongoing improvement.
Experience with ML platforms, evaluation frameworks, model serving, feature or prompt registries, or ML observability is a plus.
Familiarity with technologies such as LiveKit, Ray Serve, Dagster, Vertex AI, GCP, Kubernetes, Pulumi, or AI provider APIs is beneficial.
Experience taking models or AI agents from prototype to production and owning their ongoing performance is advantageous.
Familiarity with real-time or streaming technologies, including voice, telephony, SIP, WebRTC, or low-latency inference, is a plus.
Startup or high-growth technology experience is beneficial.

Benefits

Base salary range of $200,000–$250,000 CAD.
Equity package.
Flexible paid time off.
Fully covered group insurance.
Opportunities for professional growth and career advancement.
Opportunity to work on AI technology with real-world customer interactions at significant scale.
Exposure to a broad range of machine learning, conversational AI, LLM, and production infrastructure challenges.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply About employer

More about this job

Responsibilities

Build and operate production conversational AI systems for voice and SMS, including models, agent tooling, evaluation systems, and ML infrastructure. Lead projects from problem definition through deployment and ongoing improvement, while strengthening engineering standards through shared platform capabilities, reviews, documentation, and mentorship.

Requirements

Requires at least six years of software or machine learning engineering experience, strong Python and software engineering fundamentals, and experience shipping ML- or LLM-powered systems to production. Candidates should be skilled in evaluating and improving production AI, comfortable working independently in ambiguous environments, and able to own initiatives through delivery and ongoing performance.

Skills

Python
Machine Learning
Large Language Models
Conversational AI
Model Training And Deployment
AI Evaluation
Prompting
AI Agents
Retrieval
Model Serving
ML Infrastructure
Production Monitoring
Ray Serve
Dagster
GCP
Kubernetes

Benefits

Equity Package
Flexible Paid Time Off
Fully Covered Group Insurance
Professional Growth Opportunities
Career Advancement Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Python
Machine Learning
Artificial Intelligence
Large Language Models
Conversational AI
Voice
SMS
AI Agents
Memory Systems
Knowledge Graphs
Model Training
Model Deployment
Prediction
Classification
Ranking
Capacity Forecasting
Ray Serve
Dagster
Vertex AI
GCP
Kubernetes
Pulumi
LiveKit
WebRTC
SIP
LLM Infrastructure
Model Serving
AI Evaluation
Observability
CI Quality Gates

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