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Added 2 months ago
BC
AI/ML Ops Engineer
Blackpoint Cyber
Remote, Canada
- $131,000 to $164,250 CAD / year
- Full-time
- Remote
…report to the Vice President of AI and Data and work closely with Engineering, the Security Operations Center (SOC), and the Adversary Pursuit Group…
Added 2 months ago
SS
Python Developer
Soho Square Solutions
Montreal, QC
- $50 to $60 CAD / hour
- Contract
Strong proficiency of Python with experience developing production-grade data processing pipelines and AI/ML services
Added 2 months ago
HC
Senior Researcher - AI Data Platforms
Huawei Canada
Markham, ON
- Full-time
Strong systems building and prototyping skills, with proficiency in C/C++ and Python, and experience with distributed storage APIs (S3, HDFS, POSIX), data processing frameworks, or vector…
Added 2 months ago
TA
Lead AI Engineer
Tiger Analytics
Canada
- Full-time
…distributed systems, cloud-native architectures, and MLOps with exceptional stakeholder management skills. This individual will oversee multiple engineering pods, mentor technical teams,…
Added 1 month ago
OT
Lead Site Reliability Administrator
Open Text Corporation
Mississauga, ON
- Other
…performance of our cloud infrastructure. You will work closely with development and operations teams to design, implement, and maintain systems that are resilient and…
Added 2 months ago
U
Senior Full Stack Engineer
UST
Toronto, ON
- Full-time
With us, you’ll create a boundless impact that transforms your career - and the lives of people across the world.
Added 2 months ago
B
AI Inference Engineer
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML…
Added 2 months ago
S
Software Engineer II - Agentic AI Foundations
Socure
Toronto, ON
- $135,000 to $175,000 CAD / year
- Full-time
Proficiency in at least one modern backend programming language and ecosystem, such as Java, Go, Python, or similar, with comfort working with cloud-native infrastructure, APIs, and data…
Added 2 months ago
Director of AI
PureFacts Financial Solutions
Toronto, ON
Define, execute, and own PureFacts' ML & AI vision and strategy, ensuring alignment with business objectives and measurable outcomes
Added 2 months ago
PF
AI Engineer
PureFacts Financial Solutions
Toronto, ON
- $100,000 to $120,000 CAD / year
Identify opportunities to replace manual processes with AI-driven automation
Added 3 months ago
SI
Sr. Staff AI Full Stack Engineer
Synopsys Inc
Mississauga, ON
- Full-time
…of software engineering principles and a strong command of Python, with the ability to architect, build, and maintain distributed systems and AI/ML solutions. Your experience spans backend…
Added 2 months ago
TG
AI & ML Intern – Applied Sciences
Trench Group GmbH
Toronto, ON
- $22 to $30 CAD / hour
in Python with hands-on experience using NumPy and SciPy for numerical data
Added 2 months ago
TG
AI & ML Developer Intern
Trench Group GmbH
Toronto, ON
- $22 to $30 CAD / hour
…transformers, coils, and bushings for seamless energy transmission. With a legacy of customized engineering and innovation, we enable society to harness the power of electricity with…
Added 2 months ago
W
Senior AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and…
Added 2 months ago
AI Application Security Architect
ACV
Toronto, ON
Own the security architecture for AI-assisted engineering: coding assistants, MCP servers, and autonomous agents, with guardrails that preserve developer velocity across an API-first…
Added 3 months ago
B
Analyst, Data Science & AI developper
Bombardier
Dorval, QC
- Full-time
With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
Added 3 months ago
ES
Machine Learning Engineer - Express Scripts Canada
Express Scripts Pharmacy Benefit Services
Mississauga, ON
- Full-time
The role blends hands-on data engineering (Oracle + ETL), model development (unsupervised learning), and API serving (Python/FastAPI), with close collaboration across business teams. You’ll…
Added 2 months ago
S1
Full-Stack Machine Learning Engineer
Signal 1
Toronto, ON
- Full-time
- Depth in AI and backend engineering: strong Python for services and ML pipelines, working fluency with cloud infrastructure and CI/CD, and a working understanding of frontend development…
Added 2 months ago
C
Member of Technical Staff, Agentic Environments
Cohere
Remote, Canada
- Full-time
- Remote
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Added 3 months ago
W
Software Engineer III - Visual AI Technology
Wayfair
Toronto, ON
- $192,047 to $211,914 CAD / year
- Full-time
Strong Python skills (experience with FastAPI or Flask is a bonus) and a solid understanding of cloud platforms (GCP/AWS/Azure) for compute-heavy workloads.
Added 3 months ago
PI
Java Lead Engineer / Architect - Agentic AI
Princeton IT Services, Inc
Toronto, ON
- Full-time
…develop production-grade solutions, and collaborate closely with engineering, data science, and product teams to deliver scalable, high-performance…
Added 3 months ago
A
DFT Design Engineer
AMD
Markham, ON
- $128,000 to $192,000 USD / year
- Full-time
Experience with Perl/Python/Shell scripting, C++, SQL
Added 2 months ago
CP
Databricks Architect | Canada
Cuesta Partners
Remote, Canada
- $180,000 to $225,000 USD / year
- Full-time
- Remote
…is a hands-on leadership role where you will work directly with clients - including C-level stakeholders - to design, build, and deploy production-grade Databricks…
Added 2 months ago
A
Senior Site Reliability Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are seeking a highly motivated and experienced Senior Site Reliability Developer (SRE) to manage critical cloud infrastructure and site reliability operations for the Autodesk Platform…
Added 2 months ago
RB
Staff Engineer – Software Development, Architecture, Security & Governance
Royal Bank of Canada
Toronto, ON
- Full-time
…opportunity to work and lead complex projects, collaborating with cross-functional teams to design, develop, and deploy production-grade applications that integrate AI capabilities,…

Signal 1

Full-Stack Machine Learning Engineer

Toronto, ON, M5R 2E3, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Experience: 3+ years of industry experience shipping software, with a substantial portion of that time spent on applied machine learning
Posting language: English
Posted: Aug 13, 2026

Original job description

About Signal 1

US health systems will spend $100-130 billion on AI between 2025 and 2030, and studies show that 95% of AI initiatives fail to deliver measurable impact. Health systems have little to no insight into which AI solutions actually work and bring value, meaning that millions of dollars are wasted on tools that make no difference.

Signal 1's AI Management System enables health systems to operate scalable and valuable AI programs that can ensure solutions are performing as expected and make data-driven decisions on where to invest. Purpose-built for healthcare and informed by experience managing AI at scale, Signal 1 empowers health systems to use AI to its full potential and maximize impact on patient care. We were founded by Tomi Poutanen (former Chief AI Officer at TD Bank, co-founder of the Vector Institute and Radical Ventures) and Mara Lederman (previously a professor at University of Toronto's Rotman School of Management and lead at Creative Destruction Lab), with early backing from Geoffrey Hinton.

About the role

Health systems are starting to build their own AI agents: agents that draft discharge summaries, reconcile medications, prepare prior authorization reviews, and schedule patients. Every one of those agents acts on real patient data inside real clinical workflows, and every one of them needs to be visible, evaluated, and defensible from the day it goes live.

The Agent Control Plane is the latest extension of our flagship product, the Signal 1 AI Management System (AIMS). It gives a hospital one place to manage, evaluate, continuously improve, govern, and interact with all of its agents. The work behind that spans grounding agents in the organization's own context, evaluating agent behavior in a dynamic clinical environment, extracting actionable insights that enable continuous improvement, and integrating with a hospital's systems and people to enable effective agentic workflows.

This part of the platform is a true zero-to-one build that we are co-developing with leading US health systems including NewYork-Presbyterian and Mount Sinai. We have a clear thesis and a small team with room for you to own large pieces of the product. You will work directly with the Director of Engineering, and the technical decisions you make will shape the architecture, the codebase, and the product for years.

This role suits someone who has already taken ML-powered products from first commit to production users and wants to do it again with far more ownership.

About the team

You'll work with a team of engineers, machine learning scientists, and product people who are ambitious and passionate about their craft. We work hard and move fast to shape the way healthcare uses AI for the better. Our office is based in Toronto and we come together 1-2 days a week to collaborate, innovate, and have fun.

What you'll do

Own features end to end: Take a problem from ambiguous idea to production. You'll design the data model, build the pipelines and backend services, and work across the frontend when your feature calls for it. You own the whole slice and the outcome it delivers.

Build the AI core of the product: Design and implement the systems that ground agents in a hospital's own context, evaluate their behavior in a dynamic environment, and turn agent activity into actionable insights that drive continuous improvement.

Work with messy, real-world data: Ingest and normalize agent telemetry from many runtimes, healthcare data standards like FHIR, and clinician feedback, then turn it all into datasets the product and its evaluations can rely on.

Prototype with design partners: Build demos and pilots alongside real health systems, watch them get used, and fold what you learn back into the product within days.

Invent where there is no playbook: Agent observability and evaluation in healthcare is a brand-new field. Many of the problems you'll face have no established solution, and you'll be expected to create one, test it against real data, and share what you learned.

Raise the bar: Agent management is a nascent practice that is developing and changing quickly. You'll keep our patterns for testing, evaluation, logging, and reliability ahead of a fast-moving state of the art, and the standards you set will spread through the whole team.

You'll be a great fit if you have...

Experience

3+ years of industry experience shipping software, with a substantial portion of that time spent on applied machine learning

A track record of building production AI systems: you have taken LLM-powered or ML-powered features into production, operated them at scale, and been on the hook when they misbehaved

Depth in AI and backend engineering: strong Python for services and ML pipelines, working fluency with cloud infrastructure and CI/CD, and a working understanding of frontend development (TypeScript, React, or equivalent) with enough hands-on experience to work across the stack when a feature needs it

Deep hands-on data experience: you have built data pipelines, cleaned messy datasets, designed schemas, and understand how data quality issues surface downstream in models and metrics

Zero-to-one shipping: you have taken at least one product or major product area from an empty repo to real users

A history of novel solutions: you can point to problems that had no established approach and describe the solution you created, why it worked, and how you validated it

Ways of working

A strong product mindset: you start from who the user is and what outcome they need, and you let that drive every technical decision

Comfort navigating uncharted waters: you make good decisions with incomplete information, timebox your bets, and course-correct quickly when the evidence points somewhere new

High agency and resourcefulness: you find the information you need, unblock yourself, and pull in help early when a decision is bigger than you

Clear, succinct communication: you keep engineering, product, and customers on the same page as things move fast, and you translate fluently between technical and clinical audiences

An AI-native way of working: you use AI tools daily across coding, research, and prototyping to speed up every step, and you hold the output to a high standard

A high bar for craft: you push beyond "does it work?" to "does it feel right?", in the product and in the codebase

Nice to have

Experience with healthcare data (FHIR, HL7, EHR integrations) or other regulated, privacy-sensitive domains

Ownership of a product that shipped to production, with responsibility for iterating on it release after release toward product-market fit

Experience building agentic systems that operate on large-scale data in production

Experience conducting AI research, with peer-reviewed publications at conferences or in journals

What we'll bring

Competitive compensation (base salary + bonus + equity) in a high-growth company

Comprehensive health benefits

4 weeks PTO

A green-field product, direct access to design partners at major health systems, and a real say in what gets built

To apply

To apply for this role, please send an email to jullian@signal1.ai with:

"Re: Signal 1 Full-stack Machine Learning Engineer" as the subject line

Your resume

A walkthrough of an ML or AI system you took to production: what it does, the hardest technical decision you made along the way, and why you chose to share this one. Write it as plain text in the body of the email, 500 characters maximum. You may attach one image to supplement the walkthrough.

Apply About employer

More about this job

Responsibilities

You will own the end-to-end development of features, from design and data modeling to backend implementation and frontend integration. Additionally, you will build the AI core of the product by grounding agents in clinical context and creating systems for evaluation and continuous improvement.

Requirements

The role requires 3+ years of industry experience with a strong focus on applied machine learning and shipping production-grade AI systems. Candidates must possess deep expertise in Python, backend engineering, data pipeline construction, and the ability to work across the stack.

Skills

Machine Learning
Python
LLM
Backend Engineering
Cloud Infrastructure
CI/CD
TypeScript
React
Data Pipelines
Data Modeling
FHIR
Healthcare Data
Agentic Systems
Software Development
System Architecture

Benefits

Competitive compensation
Bonus
Equity
Comprehensive health benefits
4 weeks PTO

Visa sponsorship

Not detected in the job text

Hiring contact

Jullian

Hiring contact email

jullian@signal1.ai

Keywords

Full-Stack
Machine Learning
AI Management System
Agent Control Plane
Healthcare
Python
LLM
Backend
Cloud Infrastructure
CI/CD
TypeScript
React
Data Pipelines
FHIR
HL7
EHR
Data Modeling
Agentic Systems
Software Engineering
Product Development
System Architecture
Telemetry
Clinical Workflows
Data Quality
Prototyping
Scalability
Governance
Observability
Evaluation
Reliability

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