Jobs in Canada

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Added 13 hours ago
OW
Actuarial Modeling & Technical Manager
Oliver Wyman Actuarial Consulting, Inc.
Toronto, ON
- Full-time
- Hybrid
Strong technical skills with actuarial tools and experience with Python, R, or SQL are advantageous. Experience with Git/GitHub and Databricks preferred.
Added 13 hours ago
FI
Software Developer
Fidelity Investments Canada ULC
Toronto, ON
- Full-time
Strong expertise with advanced Python skills for developing and supporting production-grade APIs, services, and applications.
Added 13 hours ago
FI
Software Developer, AI Engineering & SDLC Transformation
Fidelity Investments Canada ULC
Toronto, ON
- Full-time
This role goes well beyond AI-assisted coding. The individual will combine strong software engineering fundamentals with hands-on knowledge of modern AI and agentic technologies. They will…
Added 13 hours ago
AG
Principal Data Engineer
Altus Group Limited/Groupe Altus Limitée
Toronto, ON
- Full-time
The engineering expertise. You have strong programming skills in Python, SQL, and Spark, along with practical experience using Databricks. You understand how to design reliable, reusable,…
Added 13 hours ago
AG
Senior Data Engineer
Altus Group Limited/Groupe Altus Limitée
Toronto, ON
- Full-time
The technical foundation. You have strong programming skills in Python, SQL, and Spark, along with a solid understanding of distributed data processing. You can apply these tools to build,…
Added 13 hours ago
CS
Sr. Manager, Technical Architect – Enterprise AI Solutions
Canadian Solar Inc.
Canada
- Full-time
- Hybrid
The ideal candidate combines strong technical depth in AI/ML and enterprise architecture with hands-on experience delivering production-grade AI solutions within large-scale global…
Added 13 hours ago
OW
Actuarial Modeling & Technical Manager
Oliver Wyman Actuarial Consulting, Inc.
Toronto, ON
- Full-time
- Hybrid
Strong technical skills with actuarial tools and experience with Python, R, or SQL are advantageous. Experience with Git/GitHub and Databricks preferred.
Added 13 hours ago
OW
Actuarial Modeling & Technical Manager
Oliver Wyman Actuarial Consulting, Inc.
Toronto, ON
- Full-time
- Hybrid
Strong technical skills with actuarial tools and experience with Python, R, or SQL are advantageous. Experience with Git/GitHub and Databricks preferred.
Added 13 hours ago
TR
Lead Software Engineer AI (Staff Engineer)
Thomson Reuters (Tax & Accounting) Inc
Toronto, ON
- Full-time
- Hybrid
Full Stack experience with Python, JavaScript, TypeScript, and modern frameworks such as React or Angular.
Added 13 hours ago
TR
Senior Inference Engineer - AI
Thomson Reuters Applications Inc
Toronto, ON
- Full-time
- Hybrid
Thomson Reuters is seeking a Senior Inference Engineer, AI. This person will collaborate with platform teams to enhance capacity forecasting for AI workloads and work with Product, Data…
Added 13 hours ago
TR
Senior Machine Learning Engineer – NLP/LLM
Thomson Reuters Holdings Inc.
Toronto, ON
- Full-time
- Hybrid
Advanced Python programming skills and hands-on experience with machine learning frameworks such as PyTorch or TensorFlow.
Added 13 hours ago
TR
Staff Software Engineer – AI Platform
Thomson Reuters Holdings Inc.
Toronto, ON
- Full-time
- Hybrid
Deep Python expertise and experience with production systems using frameworks like FastAPI (or similar), relational databases (PostgreSQL or equivalent), and a major cloud provider (AWS…
Added 13 hours ago
PI
AI Engineer
Patlytics, Inc.
Toronto, ON
- Full-time
- Hybrid
…disclosure through litigation, delivering citation-backed insights with unprecedented accuracy and…
Added 13 hours ago
Scientifique de données - Data Scientist
TobogganLabs
Montréal, QC · Québec, QC
Avez de l’expérience avec Python et les plateformes d’infonuagique.
Added 13 hours ago
Développeur Senior (Produit/Full-Stack/ML) - Senior Developer (Product/Full-Stack/ML)
TobogganLabs
Montréal, QC · Québec, QC
…clients utilisent TypeScript, React, Postgres et Node et/ou Python quelque part dans leurs piles - idéalement, vous connaissez au moins certains d'entre eux. Nos projets à forte intensité…
Added 13 hours ago
Développeur·euse senior en IA / systèmes agentiques - Senior AI/Agentic Systems Developer
TobogganLabs
Montréal, QC · Québec, QC
La majorité de nos projets à forte composante IA utilisent Python, TypeScript, React et Node, souvent avec des bases de données vectorielles (Pinecone, Weaviate, FAISS) et sont déployés sur…
Added 13 hours ago
SI
Staff Software Engineer, Core Infrastructure
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
- Hybrid
- Evolve the Python userland (the transform framework, tooling, and developer experience) and support engineers across the company who build on the platform through code reviews, guidance,…
Added 13 hours ago
Senior Machine Learning Developer
Numa
Montréal, QC
We’re hiring a Senior Machine Learning Developer to build and ship ML/AI systems that interact with real customers thousands of times a day. Our voice agents book service appointments,…
Added 13 hours ago
C
Senior Engineer
Caylent
Canada
- $131,000 to $147,000 CAD / year
We are a fully remote global company with employees in Canada, the United States and Latin America. We celebrate the culture of each of our team members and foster a community of…
Added 13 hours ago
S
Senior Backend Developer
ShyftLabs
Toronto, ON
- Full-time
- Hybrid
-Hybrid Flexibility: Enjoy a hybrid model with three days per week in our Toronto office
Added 13 hours ago
Senior Data Platform Engineer
Later
Vancouver, BC
Strong backend programming skills (Python or similar), solid SQL, and experience with dbt or a similar transformation framework.
Added 13 hours ago
Machine Learning Fellow - Human Frontier Collective (Canada)
Scale AI
Canada
Skills: Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow). Experience with cloud infrastructure (AWS) and MLOps tools (Docker) and LLM frameworks (LangChain) is a…
Added 13 hours ago
Head of Anthropic Forward Deployed Engineering (FDE)
Lovelytics
Canada
…Modernization. All of it is delivered primarily on Databricks, with deep partnerships across AWS, Azure, and…
Added 13 hours ago
T
Staff Backend Engineer
Tetrix
Montréal, QC
- $230,000 to $280,000 USD / year
- Full-time
- Hybrid
- You’re experienced and thoughtful – 15+ YOE in backend engineering using Python. You have strong technical leadership experience, including architecting complex systems, mentoring…
Added 13 hours ago
CG
Senior Platform Infrastructure Engineer
Credit Genie
Toronto, ON
- $170,000 to $225,000 USD / year
- Full-time
- On-site
- Experience with AI/LLM tooling, MCP, model gateways, or internal developer platforms for AI.

Numa

Senior Machine Learning Developer

Montréal, QC, Canada

Base Salary Range: $200,000 - $250,000 CAD

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

Job details

Pay: Base Salary Range: $200,000 - $250,000 CAD
Experience: 6+ years of software or machine learning engineering experience, with a track record of shipping ML or LLM powered systems to production
Posting language: English
Posted: Sep 22, 2026

Original job description

Senior Machine Learning Developer

Location: Montreal, Quebec, Toronto, or Ontario

About Numa

Numa is building the platform to power AI-native dealerships, rearchitecting automotive service and sales with advanced AI agents that automate customer interactions, streamline operations, and reimagine how dealerships work. Numa integrates AI into every aspect of dealership functions - from rescuing customer calls and voicemails that generate more revenue, to reducing customer resolution times that drive overall customer satisfaction (CSI), to improving dealership team productivity and accountability. Numa has raised $50 million from leading investors (Google, Threshold, Costanoa, Mitsui, and Touring Capital).

The Role

We’re hiring a Senior Machine Learning Developer to build and ship ML/AI systems that interact with real customers thousands of times a day. Our voice agents book service appointments, rescue missed calls, and route callers through natural conversations. You’ll work across products and platforms. You’ll ship AI features including prompts, agents, tools, and production ML models, while building the evaluations and tooling that help teams ship with confidence. You’ll also contribute to our ML platform, including model serving, LLM infrastructure, and production observability. At Numa, we believe great ML is about more than building bigger models. It’s about knowing whether a change is good enough to ship. Our evaluation-first approach makes that measurable in CI and production.

What You’ll Do

Build conversational AI systems for phone and SMS that understand customer needs, take action, and know when to act autonomously
Develop tooling such as memory, knowledge graphs, and validated customization that help agents reason and adapt to dealership needs
Train, evaluate, and deploy ML models using Ray Serve and Dagster for prediction, classification, ranking, and capacity forecasting, and keep them healthy in production
Create offline and online evaluations, simulations, and CI gates that catch regressions and continuously measure quality in production
Implement shared evaluation, observability, and LLM tooling that helps product squads ship faster and more reliably
Raise the engineering bar through design and code reviews, technical writing, and mentorship
Work autonomously when goals are clear and help create clarity when they are not

What You Bring

6+ years of software or machine learning engineering experience, with a track record of shipping ML or LLM powered systems to production
Strong Python and solid software engineering fundamentals; you write code others can build on, test, and trust
Hands-on experience building AI systems; training and deploying ML models (prediction, classification, ranking) and/or working with LLMs (prompting, tool use, agents, retrieval) with a real intuition for where they break
A rigorous, evaluation-first instinct, you reach for measurement to tell a real improvement from a lucky one, and a real regression from noise
Comfort operating with meaningful ambiguity in a product environment, and the judgment to know where to invest depth versus speed
Ownership and communication; you can carry a piece of work from problem framing through shipped, monitored, and improved

Nice To Have

Experience building or operating ML platform and tooling: evaluation frameworks, model serving, feature/prompt registries, or ML observability
Familiarity with our stack or its neighbors: LiveKit, Ray Serve, Dagster, Vertex AI, GCP, Kubernetes, Pulumi, or provider APIs (Anthropic, OpenAI, Deepgram, ElevenLabs)
Comfortable taking a model or agent from prototype to production and owning it there
Proficient with real-time or streaming systems: voice, telephony (SIP/WebRTC), or low-latency inference
Familiarity working in a startup or high-growth environment with evolving conditions

What Success Looks Like

Your squad ships AI features faster and with more confidence because the evals and tooling around them are solid
No AI change you own reaches customers without an evaluation standing behind it and regressions are caught before they ship
You've turned at least one hard-won squad lesson into platform leverage the rest of the team now relies on
Production issues in your area are understood, measured, and closed with statistical confidence that the fix actually worked
Other engineers are better at building AI systems because of your reviews, your writing, and how you work

Why Join Numa

We believe in everyone's growth
Be part of an industry leader named the #1 fastest-growing AI Automotive company by Inc. 5000
Represent category-defining AI technology that is transforming the automotive industry
Join a high-growth organization with significant opportunities for career advancement

Compensation & Benefits

Base Salary Range: $200,000 - $250,000 CAD
Equity Packages
Flexible PTO
Fully Covered Group Insurance

At Numa, you’ll have the chance to represent game-changing technology in an industry that’s ready for innovation. If you love being in the field, thrive on solving problems in real time, and want to make an impact at a high-growth company, we’d love to hear from you.

Apply on job-boards.greenhouse.io About employer

More about this job

Responsibilities

The Senior Machine Learning Developer at Numa will build conversational AI agents for phone and SMS, train and deploy ML models, and create evaluations that catch regressions before they reach customers. The person also reviews code, mentors engineers and contributes to shared ML platform tooling.

Requirements

Candidates need 6+ years of software or ML engineering experience, with ML or LLM systems shipped to production. They need strong Python skills, hands-on AI experience, and an evaluation-first approach to measuring model quality.

Skills

Python
Ray Serve
Dagster
LiveKit
Vertex AI
GCP
Kubernetes
Pulumi
Anthropic API
OpenAI API
Deepgram
ElevenLabs
SIP
WebRTC
Machine learning model training
LLM prompting
Tool use
Agents
Retrieval-augmented generation
Model evaluation
CI/CD
Observability
Code review
Technical writing
Mentorship

Benefits

Equity packages
Flexible PTO
Fully covered group insurance

Keywords

Machine Learning
Senior ML Engineer
LLM
AI agents
Conversational AI
Voice AI
Python
Ray Serve
Dagster
Evaluation
MLOps
Model serving
Automotive AI
Dealership software
Vertex AI
GCP
Kubernetes
LiveKit
Prompt engineering
Retrieval

Seniority

Senior

Perks

Generous paid time off
Flexible hours
Stock or equity

Tools

Python
Ray Serve
Dagster
LiveKit
Vertex AI
GCP
Kubernetes
Pulumi

Languages

English

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Work requirements

Jobs in Canada