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Added 20 days ago
Senior Data Platform Engineer - Toronto
Trisura Guarantee Insurance Company
Toronto, ON
Develop automation for routine platform administration, maintenance, deployments, monitoring, access reviews, and environment configuration using PowerShell, T-SQL, Python, Azure CLI, REST…
Added 20 days ago
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Senior Manager, Product Analytics
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
…businesses to a growing network of e-invoicing, tax determination, and trade compliance capabilities. Pagero alone connects more than 14 million businesses across 75+ countries and is…
Added 20 days ago
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Software Application Developer – Loan Servicing & AI Enablement
BMO
Toronto, ON · FCP
- Full-time
BMO's B2B Banking & Credit Technology team is seeking a Software Application Developer to join the Loan Servicing Technology team supporting Loan IQ and related lending platforms. The role…
Added 20 days ago
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Senior Data Engineer, Risk Technology
Investment Management Corporation of Ontario (IMCO)
Toronto, ON
- Full-time
The role also requires strong data engineering capability. The successful candidate will build and support reliable data pipelines that hydrate Power BI semantic models from enterprise data…
Added 20 days ago
H&
Data Analyst
Helic & Co
Canada
- Full-time
Working knowledge of SQL for querying and managing data.
Added 20 days ago
H&
Junior Software Developer
Helic & Co
Canada
- Full-time
We are seeking an enthusiastic Junior Software Developer to join our collaborative engineering team. In this role, you will write code, fix bugs, and develop new features for our core…
Added 20 days ago
RC
Senior software developer
Raenan Consultancy
Toronto, ON
- Full-time
Added 20 days ago
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Principal Engineer - GTB Data and Platforms
TD
Toronto, ON
- Full-time
Strong hands-on development experience in modern programming languages such as Java and Python
Added 20 days ago
TT
Senior Data Analyst
Tamanna Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
8+ years of experience in SAS and Python development.
Added 20 days ago
Senior Data Analyst
Alberta Innovates / InnoTech Alberta
Edmonton, AB
Provide informal guidance and mentorship to intermediate analysts and business developers on SQL, Python, Power BI, and data modeling best practices.
Added 20 days ago
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GTM Engineer
LumiQ
Toronto, ON
- Full-time
Technical Skills: Experience with Python, SQL, API’s and Webhooks for custom scripts and data manipulation. Experience with orchestration and enrichment tools like Clay, Zapier, n8n or…
Added 20 days ago
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AI Automation Engineer
Future Electronics
Kirkland, QC
- Full-time
Experience developing and deploying applications using modern programming languages such as Python, C#, JavaScript, or similar.
Added 20 days ago
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Big Data Developer
Pacer Group
Mississauga, ON
- $125,000 to $130,000 CAD / year
- Contract
Develop and maintain scalable data pipelines using PySpark and Spark SQL for large datasets.
Added 20 days ago
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Principal Engineer - GTB Data and Platforms
TD
Toronto, ON
- Full-time
Strong hands-on development experience in modern programming languages such as Java and Python
Added 20 days ago
M
Spécialiste en développement logiciel, IA et modernisation/Software Development Specialist, AI & Modernization
McKesson
Montreal, QC
- Full-time
…healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of…
Added 20 days ago
Data Engineer, Early Career - 2027 (CAN)
Amazon
Toronto, ON
Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
Added 20 days ago
CD
New Graduate / Internship Applications
Compass Data & AI
Montreal, QC
- Internship
Programming Languages: Proficiency in SQL and Python is essential; experience with PyTorch, Spark, Scala, or similar technologies is a plus.
Added 20 days ago
UC
Data Engineer
UniSysTech Consulting
Toronto, ON · Greater Toronto Area, Canada
- $70 to $80 CAD / hour
- Contract
We are looking for a Data Engineer to design, build, and automate scalable data pipelines. In this role, you will leverage strong Python and SQL expertise to extract, transform, and load…
Added 20 days ago
VS
Senior Test Engineer
VIAVI Solutions
Ottawa, ON
- Full-time
SQL database programming experience for test record and data management.
Added 20 days ago
UR
AI Solutions Engineer
Urban Ridge Supplies
Thornhill, ON
- Full-time
Basic-to-intermediate coding ability (Python, JavaScript, SQL, or similar).
Added 20 days ago
UR
Software Engineer III (AI Integration)
Urban Ridge Supplies
Toronto, ON
- Full-time
Work with structured and unstructured datasets using Python, SQL, Spark, Pandas, etc.
Added 20 days ago
UR
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Strong SQL skills and experience working with modern data platforms, including Databricks and Snowflake, and vector databases, including Azure AI Search, Pinecone, pgvector, or similar.
Added 20 days ago
UR
AI Engineer
Urban Ridge Supplies
Guelph, ON
- Full-time
Proficiency in at least one programming language such as Python, PySpark, R, or SQL.
Added 20 days ago
UR
Senior AI Engineer
Urban Ridge Supplies
Brampton, ON
- Full-time
Proficiency with SQL and at least one analytical data platform (BigQuery, Snowflake, or similar).
Added 20 days ago
UR
Middle/Senior Forward Deployed Engineer (Python, AI)
Urban Ridge Supplies
Toronto, ON
- Full-time
Advanced proficiency in Python, along with experience using TypeScript or JavaScript and SQL.

Urban Ridge Supplies

Lead, AI/Machine Learning Engineer

Toronto, ON, Canada

The expected salary range for this position is $86,000.00 - $130,000.00 per year. · Full-time

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Job details

Pay: The expected salary range for this position is $86,000.00 - $130,000.00 per year.
Job type: Full-time
Experience: 3+ years of professional software engineering experience, including 2+ years building and deploying production AI/ML or Generative AI solutions.
Posting language: English
Posted: Sep 24, 2026

Original job description

Choose a workplace that empowers your impact.

Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be - and deliver - your best.

We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 665,000 members, placing their best interests at the heart of everything we do.

Join us to accelerate your growth & development, prioritize wellness, build connections, and support the communities where we live and work.

Don’t just work anywhere - come build tomorrow together with us.

Know someone at OMERS or Oxford Properties? Great! If you're referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the Platform Engineering, AI and Advanced Analytics department. This team acts as a central hub for AI capability at OMERS, partnering with Software Engineering, Customer Success and Innovation (CSI), and business areas to prototype, build, and ship AI solutions across Investments, Pension Services, Finance, and Corporate functions.

Reporting to the Associate Director, AI and ML, this role is hands-on across the full AI delivery lifecycle - from rapid prototyping and proof-of-concept development through to production-ready deployment. You will design and implement AI/ML and Generative AI solutions, operationalize them through robust engineering practices, and help shape how OMERS leverages AI to deliver measurable business outcomes. This is an opportunity to work at the intersection of cutting-edge AI, modern engineering, and real-world business problems in a collaborative, fast-paced environment.

You Will Be Responsible For

Designing and building end-to-end AI/ML and Generative AI solutions, including LLM applications, RAG pipelines, agentic workflows, and traditional ML models.
Building and maintaining MLOps/LLMOps/GenAIOps pipelines, including experiment tracking, model and prompt versioning, CI/CD, observability, drift detection, and automated retraining.
Building AI solutions using enterprise platforms, including Azure AI Foundry, Copilot Studio, and other approved AI platforms.
Working with vector databases, embeddings, and retrieval systems to ground LLMs on OMERS enterprise knowledge.
Conducting applied research on emerging models, agent frameworks, and AI engineering patterns, and translating findings into practical solutions and reusable components.
Collaborating with Software Engineering, Customer Success, and business stakeholders in an Agile environment to move initiatives from prototype to production and ensure successful adoption.
Contributing to AI governance, responsible AI practices, and architecture standards; embedding responsible AI principles and controls in everything you build.
Mentoring and coaching teammates through pairing, code reviews, and knowledge sharing; contributing to reusable skill, sub-agent, and component libraries to accelerate delivery.
Identifying, defining, and implementing improvements to existing engineering practices, tooling, and delivery processes while managing multiple initiatives and ensuring timely delivery.

Required Skills & Experience

3+ years of professional software engineering experience, including 2+ years building and deploying production AI/ML or Generative AI solutions.
Hands-on experience with LLMs, including OpenAI, Anthropic, and open-source models; prompt engineering; RAG architectures; and fine-tuning.
Practical experience with one or more LLM/GenAI frameworks, such as LangChain, LlamaIndex, or Semantic Kernel.
Strong foundation in machine learning, including classical ML, such as scikit-learn, and deep learning, such as PyTorch or TensorFlow, with experience in feature engineering, model evaluation, and experimentation.
Experience implementing MLOps/LLMOps capabilities, including MLflow, Kubeflow, or equivalents; model registries; CI/CD for ML; observability, such as Arize, Langfuse, or similar; and drift monitoring.
Proven ability to design, build, and maintain production-grade services and full-stack applications that integrate AI capabilities.
Solid experience with cloud platforms, particularly Azure, including Azure AI Foundry and Azure OpenAI; working knowledge of GCP and Vertex AI is an asset.
Strong SQL skills and experience working with modern data platforms, including Databricks and Snowflake, and vector databases, including Azure AI Search, Pinecone, pgvector, or similar.
Demonstrated success delivering complex technical projects end-to-end, aligning expectations with various partners, and navigating ambiguity from prototype to production.
Strong software engineering practices, including Git, code reviews, automated testing, and CI/CD, with a bias toward shipping reliable, maintainable software.
Excellent communication skills, with the ability to explain technical concepts and trade-offs clearly to non-technical stakeholders and senior management.
Motivated to work in a collaborative environment with fast feedback, shared ownership of outcomes, and a focus on team success.

Preferred Skills & Experience

Experience with agent frameworks, such as Microsoft Agent Framework or Google ADK, and agentic workflows.
Experience containerizing workloads, including Docker and Container Applications, and deploying across cloud and on-premises GPU infrastructure.
Exposure to AI/ML observability and evaluation tooling beyond the core stack, and experience designing evaluation harnesses and guardrails for LLM-based applications.
Familiarity with responsible AI principles, governance frameworks, and enterprise architecture standards.
Experience in financial services, pensions, asset management, or related domains.
Bachelor’s Degree in Computer Science, Engineering, Mathematics, or a related quantitative field; Master’s degree is an asset, or equivalent work experience.
Experience mentoring engineers and contributing to communities of practice or reusable component libraries.

We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. In delivering on our pension promise, keeping us connected to our work and each other, our flexible hybrid work guideline requires teams to come in to the office 4 days per week.

This posting is for an existing vacancy.

The expected salary range for this position is $86,000.00 - $130,000.00 per year.

You may also be eligible to receive an annual Incentive Award pursuant to our Short-term Incentive plan and our Long-Term Incentive plan (if applicable), and to participate in our group benefits and retirement plans – details on these elements of compensation are included within OMERS & Oxford offer letters.

As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities where we live and work - and the members we proudly serve.

From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

Artificial intelligence (AI) tools are used to support certain stages of the OMERS recruitment process. While AI assists us in our process, human judgment and decision-making remain central to our candidate experience.

Job Id: jF5rMf6zJyUdSOVDqWjkpVfHcCuN9CZiNauNiYxqFx5GONIgu7JQ35MzbdQhIwKjgCI9HAvnqNyRIr/2SrdDCwnmSqRSe1oqVg==

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More about this job

Responsibilities

The Lead, AI/Machine Learning Engineer will design and build end-to-end AI/ML and Generative AI solutions, including LLM applications and agentic workflows. They will also operationalize these models through robust MLOps/LLMOps practices and collaborate with cross-functional teams to drive business outcomes.

Requirements

Candidates must have at least 3 years of professional software engineering experience, with 2+ years specifically in building and deploying production AI/ML or Generative AI solutions. Strong proficiency in cloud platforms like Azure, machine learning frameworks, and modern data platforms is required.

Skills

Artificial Intelligence
Machine Learning
Generative AI
LLM
Python
PyTorch
TensorFlow
Azure
MLOps
SQL
Databricks
Snowflake
LangChain
Prompt Engineering
RAG
Software Engineering

Benefits

Short-term incentive plan
Long-term incentive plan
Group benefits
Retirement plans

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
LLM
MLOps
LLMOps
GenAIOps
Azure AI Foundry
Copilot Studio
RAG
LangChain
LlamaIndex
Semantic Kernel
PyTorch
TensorFlow
Scikit-learn
MLflow
Kubeflow
Azure
Databricks
Snowflake
Vector Databases
Agile
Software Engineering
CI/CD
Prompt Engineering
Financial Services
Pension Plan
Data Engineering
Cloud Computing

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