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Added 23 hours ago
RB
Director & Principal Engineer, AI/ML & MLOps Platform
Royal Bank of Canada
Vancouver, BC
- Full-time
…Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk,…
Added 23 hours ago
F
Applied AI Engineer
Foresight
Montreal, QC
- $180,000 to $230,000 CAD / year
- Full-time
We work with top data-center owners, developers and general contractors across the world, including Crusoe, Applied Digital, and NTT. We raised a $25M Series A led by Macquarie Capital and…
Added 23 hours ago
T
Senior AI/ML Developer – Python | DSPy | LLM | Databricks | MLflow
ThoughtStorm
Toronto, ON
- Contract
Strong hands-on experience with Python programming for AI/ML development, data processing, and automation.
Added 23 hours ago
R
Director & Principal Engineer, AI/ML & MLOps Platform
RBC
Vancouver, BC
- Full-time
…Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk,…
Added 1 day ago
FW
Senior Full Stack Engineer
Foresight Works Ltd
Remote, Canada
- $180,000 to $230,000 CAD / year
- Full-time
- Remote
Are strong in Python on the backend (FastAPI, Django or similar) and strong TypeScript with React on the frontend.
Added 1 day ago
TC
GenAI Developer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
We are looking for a hands-on GenAI Developer with strong experience in Python, PySpark, Machine Learning, GenAI, RAG, and Agentic AI, along with regulatory reporting platform experience.…
Added 1 day ago
Data Scientist
Scotiabank
Toronto, ON
The ideal candidate will bring a strong unstructured data analytics skillset with deep analytical expertise, to translate complex data into clear, actionable insights. They will use AI/ML,…
Added 1 day ago
T
Applied Machine Learning Scientist I
TD
Toronto, ON · Montreal, QC
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 1 day ago
C
Embedded Security Software Developer - New Grad
Ciena
Ottawa, ON
- Full-time
…supports growth and well-being - on and off the job. Connect with a career that…
Added 1 day ago
RD
Senior Technical Analyst / Developer - Machine Learning & Data Engineering
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $130,000 CAD / year
- Full-time
We are seeking a senior, hands-on Senior Technical Analyst / Developer to design, build, deploy, and operationalize enterprise machine learning, data engineering, and AI solutions. In this…
Added 1 day ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 1 day ago
H
Machine Learning Engineer
Hays
Toronto, ON
- Contract
This role focuses on model development using Python and PyTorch, with a strong emphasis on ownership, experimentation, and practical impact on experiences used by millions of Canadians…
Added 1 day ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly skilled Senior Data Science Developer with advanced hands-on expertise in Python, software engineering, Generative AI (GenAI), Large Language Models (LLMs),…
Added 1 day ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with significant hands-on experience in designing, developing, and maintaining scalable, production-grade data pipelines and integration…
Added 1 day ago
MA
Senior Software Engineer
Milya AI
Montreal, QC
- Full-time
Voice & Ambient Pipelines: Build low-latency streaming audio infrastructure (WebSockets, WebRTC) with robust RAG, tool calling, and multi-agent routing.
Added 1 day ago
Senior Technical Solutions Manager, Billing, Google Cloud
Google
Waterloo, ON
Experience with web technologies (HTTP, HTML, DNS, TCP), experience reading code in a general-purpose language (e.g., Java, Python, Go) or system design, AI-assisted coding/debugging.
Added 1 day ago
AF
Principal, AI Agent Control & Governance
ATB Financial
Calgary, AB
- Full-time
…velocity is maximized while maintaining audit-ready alignment with OSFI regulatory expectations (Guideline E-23 Model Risk Management, E-21 Operational Risk), enterprise risk appetites, and…
Added 1 day ago
SI
Lead Applied AI Scientist
S-Solutions Inc- a SyeDyn Company
Toronto, ON · Greater Toronto Area, Canada
- Contract
7+ years in AI/ML, with at least 2 years building GenAI, agentic AI, or LLM-based solutions.
Added 1 day ago
GS
Staff Site Reliability Engineer, Application
Guidewire Software
Toronto, ON
- Full-time
Software Engineering Acumen: A deep software engineering foundation, with the ability to write production-grade code in major languages like Python, Go, C++, C#, or Java with a strong…
Added 1 day ago
C
Applied Machine Learning Research Scientist
Cerebras
Toronto, ON
- Full-time
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750…
Added 1 day ago
J
Applied AI Engineer
Jobgether
Canada
- Full-time
…(RAG), evaluation frameworks, and safety controls. Working with proven commercial models, you will turn advanced AI capabilities into practical solutions that support mission-critical…
Added 1 day ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 1 day ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with significant hands-on experience in designing, developing, and maintaining scalable, production-grade data pipelines and integration…
Added 1 day ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly skilled Senior Data Science Developer with advanced hands-on expertise in Python, software engineering, Generative AI (GenAI), Large Language Models (LLMs),…
Added 1 day ago
E
Software Developer
Ericsson
Ottawa, ON
- Full-time
Experience with Linux and Python or Bash scripting.

Applied Machine Learning Scientist I

Toronto, ON, Canada
Montreal, QC, Canada

$105,500 - $125,000 CAD · Full-time

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Job details

Pay: $105,500 - $125,000 CAD
Job type: Full-time
Apply by: Nov 10, 2026
Experience: 1–3 years of relevant experience in machine learning, advanced analytics, data science, model evaluation, or related fields.
Posting language: English
Posted: Nov 6, 2026

Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$105,500 - $125,000 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

We're looking for a highly motivated Applied Machine Learning Scientist I to join our TDI AI/ML team. This role is primarily focused on Generative AI, including LLM-based and agentic solutions, while also offering opportunities to work on predictive machine learning use cases. You'll contribute across the end-to-end AI and machine learning lifecycle, including solution design, model development, evaluation, testing, validation, deployment, monitoring, and continuous improvement. You'll collaborate with business, technology, risk, governance, and implementation partners to help bring AI capabilities to life with measurable business impact.

This role offers an excellent opportunity to build hands-on machine learning expertise while gaining exposure to AI solution assessment, vendor model evaluation, implementation, and governance. You will work with business partners and experienced colleagues to advance the use of AI and Machine Learning at TDI while supporting the responsible adoption of both internally developed and third-party AI solutions.

KEY ACCOUNTABILITIES

Contribute to the development, deployment, and maintenance of Generative AI and predictive machine learning solutions for use cases such as customer and employee assistance, claims and underwriting support, operational automation, and risk assessment.
Support the evaluation, implementation, testing, monitoring, and ongoing lifecycle management of both internally developed and third-party AI/ML solutions.
Assist in assessing vendor-provided and out-of-the-box AI models, including their capabilities, limitations, performance characteristics, implementation considerations, and governance implications.
Help translate well-defined business problems into analytical frameworks and collaborate with cross-functional teams to define success metrics, testing methodologies, and solution approaches.
Contribute to model evaluation, documentation, A/B testing, validation support, and monitoring to help ensure model performance, fairness, stability, and compliance with Responsible AI principles.
Communicate technical results clearly to technical and non-technical stakeholders and contribute to recommendations regarding model performance, implementation, and risk.

JOB REQUIREMENTS

Communication & Relationship Skills

Excellent written and verbal communication skills.
Comfortable collaborating with a range of business partners and stakeholders, with a willingness to develop these skills further.
Ability to build positive working relationships across business, technology, risk, and governance functions.
Ability to translate complex technical concepts and analytical findings into clear business language.

Strategic Thinking & Judgment

Creative, out-of-the-box thinker with strong conceptual and problem-solving skills.
Motivated to constantly identify innovative ways to enhance analytical solutions and AI implementation practices.
Ability to investigate drivers of model performance variation and identify potential implementation or monitoring concerns with guidance.
Interest in evaluating internally developed and vendor-provided AI solutions while considering business value, performance, and governance requirements.

Technical Competencies

Proficiency in Python and modern machine learning frameworks and tools.
Practical experience developing or evaluating machine learning or Generative AI solutions through professional work, internships, research, or substantial academic or personal projects.
Understanding of model evaluation methodologies, experimentation, statistical testing, and performance monitoring.
Familiarity with structured and unstructured data, feature engineering, and model interpretability techniques.
Exposure to LLMs, agentic AI systems, and practical Generative AI applications.
Familiarity with agent orchestration frameworks such as LangGraph, gained through work, research, coursework, or personal projects.
Understanding of stateful, multi-step agent workflows involving deterministic logic, LLM-driven reasoning, tool calling, conditional routing, memory, or human-in-the-loop controls.
Exposure to integrating LLM applications with APIs, retrieval-augmented generation pipelines, vector stores, structured outputs, or external tools and data sources.
Familiarity with production practices for Generative AI systems, such as prompt and workflow versioning, automated evaluation, tracing, observability, guardrails, retry and fallback strategies, or latency and cost considerations.
Familiarity with model governance, Responsible AI principles, model validation, or model risk management practices is an asset.
Experience with SQL, Azure Cloud, Azure ML Services, or Databricks is an asset.

Education & Experience

Undergraduate degree in Science, Technology, Engineering, Mathematics, Economics, Finance, or a related quantitative discipline.
Graduate degree is considered an asset.
1–3 years of relevant experience in machine learning, advanced analytics, data science, model evaluation, or related fields. Relevant internships, research, co-op placements, and substantial academic or personal projects may be considered.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Maîtrise d’une langue autre que le français pour offrir du soutien ou traiter avec des employés ou des collègues qui ont besoin de services et de soutien dans une langue autre que le français.

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More about this job

Responsibilities

You will contribute to the end-to-end lifecycle of Generative AI and predictive machine learning solutions, including design, development, deployment, and monitoring. You will also collaborate with cross-functional partners to translate business problems into analytical frameworks and ensure responsible AI adoption.

Requirements

Candidates must have an undergraduate degree in a quantitative discipline and 1–3 years of relevant experience in machine learning or data science. Proficiency in Python, modern ML frameworks, and familiarity with LLM-based agentic systems are required.

Skills

Python
Machine learning
Generative AI
LLM
Agentic AI
SQL
Azure Cloud
Azure ML Services
Databricks
Model evaluation
Statistical testing
Feature engineering
Model interpretability
LangGraph
Retrieval-augmented generation
Model governance

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs

Visa sponsorship

Not detected in the job text

Keywords

Applied Machine Learning
Generative AI
LLM
Agentic AI
Predictive Modeling
Python
SQL
Azure Cloud
Azure ML Services
Databricks
LangGraph
Retrieval-augmented generation
Model Governance
Responsible AI
Feature Engineering
Model Interpretability
A/B Testing
Statistical Testing
Data Science
Analytics
Artificial Intelligence
Model Validation
Risk Assessment
Operational Automation
Underwriting Support
Claims Support
Customer Assistance
Employee Assistance
Lifecycle Management
Cross-functional Collaboration

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