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Jobs in Canada

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Added 1 min ago
Senior Data Analyst
Alberta Innovates / InnoTech Alberta
Edmonton, AB
The Senior Data Analyst is an opportunity to be part of a professional, purpose-driven team that values collaboration, innovation, accountability, and continuous improvement. Most…
Added 1 min ago
Manager, Aquatic Monitoring & Management
Toronto and Region Conservation Authority (TRCA)
Woodbridge, ON
…watersheds. With a team of staff, and in collaboration with the Senior Manager, the Manager develops, adapts, and delivers the strategic collection of fish and fish habitat, water quality,…
Added 1 min ago
Part Time Day RPN (Temp) - Willowbend Retirement
Claridge Homes
Ottawa, ON
Part-time
More than just Senior Living. It's a new life.
Added 15 mins ago
Manager, Technology Risk Governance
RBC
Toronto, ON
Full-time
Partner with senior business stakeholders on Technology & Cyber Risk Management domain governance, serving as a collaborative point of contact for governance-related inquiries
Added 15 mins ago
Associate Director, Platform Enablement
RBC
Toronto, ON
Full-time
Present progress updates, risks, and investment cases to senior leadership
Added 15 mins ago
Sr. Programs & Solutions Manager Commercial & Corporate Services
Roche
Mississauga, ON · Canada Pharma Campus
Full-time
…transformations, complex negotiations, and sourcing strategies) for senior stakeholders in a global matrix…
Added 15 mins ago
Senior Technical Integration Consultant (Financials) - Consultant(e) Technique Sénior (Finance)
Workday
Toronto, ON · Montreal, QC · Victoria, BC · Vancouver, BC · Calgary, AB · Canada, QC, Montreal
Full-time
Un Consultant(e) Technique Sénior en Intégrations est membre des Services techniques internationaux de Workday qui se consacre à la mise en œuvre de notre logiciel infonuagique. Cette…
Added 15 mins ago
Manager, Research
University of Ottawa
Ottawa, ON · Simard Hall
Full-time
Added 15 mins ago
Research Associate II
University of Ottawa
Ottawa, ON · Simard Hall
Full-time
…implementation, as directed by the Project Investigator or senior research…
Added 15 mins ago
Senior Research Associate
University of Ottawa
Ottawa, ON · Hamelin Hall
Full-time
Works at senior level. Translates the overarching research program objectives into operational research projects. Responsible for overseeing ongoing research within the research program…
Added 15 mins ago
Recreation Therapy Assistant | Temporary Full-time | 12-8pm
Sienna Senior Living
Minden Hills, ON · Bobcaygeon, ON
Sienna Senior Living may utilize artificial intelligence to screen and assess applicants for this position.
Added 15 mins ago
Senior Credit Analyst
TD
Hamilton, ON
Full-time
…specialized credit acumen, and understanding of customer needs, Senior Credit Analysts are accountable for underwriting new credit requests, completing annual credit reviews, coordinating…
Added 15 mins ago
Market Risk Manager, Trading Market Risk Stress Testing & Scenario Design (5111)
TD
Toronto, ON
Full-time
…risks are transparent to Risk Management, Business Leaders, and Senior…
Added 15 mins ago
Manager, Privately Managed Portfolios
TD
Toronto, ON
Full-time
Reporting to the Senior Manager, Investment Strategy & Business Management, the Manager will help shape the advisor experience for the discretionary investment management program - from…
Added 15 mins ago
Senior Personal Banker - Home Borrowing
TD
ON
Full-time
…suit your clients' unique financial needs? Then join us as a Senior Personal Banker – Home Borrowing and use your expertise to provide reliable financial guidance, build lasting client…
Added 29 mins ago
Senior Manager, Assurance and Accounting, Public Companies
ACCA Careers
Burlington, ON
Full-time
Make an impact with our Assurance & Accounting, Public Companies team as a Senior Manager. This diverse team of professionals are dedicated to exceeding clients’ unique needs within a…
Added 29 mins ago
E-Commerce and Analytics Manager
travelbrands
Toronto, ON
Full-time
Reports To: Senior Director, Integrated Marketing
Added 29 mins ago
Senior Geologist
Orano Canada
Saskatoon, SK
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Quality Assurance Automation Engineer
RedCompass Labs
Toronto, ON
Full-time
Collaborate daily with senior industry experts and leaders, accelerating your professional development
Added 29 mins ago
Senior Healthcare Design Architect
Gibbons Snow Architects Inc.
St. John's, NL
Full-time
Gibbons Snow Architects, located in downtown St. John’s, NL, is seeking senior designer or architect to lead design and project management of a wide range of projects including healthcare.…
Added 29 mins ago
Jr. Guidewire PolicyCenter Developers
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Toronto, ON
Contract
Work with senior developers and business teams to deliver P&C insurance solutions.
Added 29 mins ago
Structural Design Manager
Webuild
Toronto, ON
Full-time
We are hiring a Senior Design Manager to join our team on the PTUS project. This position reports to the Technical Manager.
Added 29 mins ago
District Manager
La Senza
Vancouver, BC
$100,000 to $130,000 CAD / year
Full-time
As District Manager, you are the senior retail leader responsible for driving the performance, culture, and growth of an entire district. You build exceptional leaders, create…
Added 29 mins ago
Senior Microsoft Dynamics 365 Business Central Developer
TEEMA
Vancouver, BC
$80 to $90 CAD / hour
Contract
Added 29 mins ago
Gestionnaire régional(e), Opérations des milieux de travail / Regional Workplace Operations Manager
Rio Tinto
Montreal, QC
Full-time
Relevant de la personne occupant le poste de Senior Manager Global Workplace & FM et travaillant au sein de l’équipe Global Workplace, vous devrez

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

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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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