Data Scientist

Clevanoo LLC

Toronto, ON

• Contract

Python + Advanced AI/ML + Cloud (AWS/GCP/Azure) + SQL/Snowflake + ML Deployment/MLOps + Production Software Development + Business Communication

Senior Applied Intelligence Platform Engineer

Dawn InfoTek

Toronto, ON

• Contract

MLOps/LLMOps, CI/CD, Infrastructure as Code, evaluation, observability, and cloud-native engineering.

Python & Java AI Developer

Zodiac Solutions, Inc

Toronto, ON

• Full-time

Implement MLOps and LLMOps practices, including version control, CI/CD, containerization, model and prompt versioning, monitoring, and incident support.

AI Engineer

Bell

Toronto, ON

Continuous Learning: An active habit of staying current with fast-moving foundation model capabilities, agent protocols, and developer tooling.

Senior Director Information Technology

lululemon

Vancouver, BC

• Full-time

Hands on experience with cloud platforms (AWS, GCP, Azure), and MLOps tools.

Senior Data Scientist

TechBlocks

Vaughan, ON

• Contract

Exposure to MLOps and model governance frameworks.

AVP, Analytics, Insights and AI, AI Product

TD

Toronto, ON

• Full-time

Ability to constructively challenge architecture, integration, cloud/platform, API, reliability, security and cost trade-offs without being the principal engineer or model developer.

Senior AI Engineer

Arkhya Tech Inc.

Canada

• Full-time

Familiarity with MLOps, CI/CD, and responsible AI practices.

Senior Data Scientist

Momentum Financial Services Group

Toronto, ON

Delivery Lead - Data & AI

Raise

Mississauga, ON

• Full-time

…semantic modelling, Power BI, analytics, ML model lifecycles, MLOps, APIs, CI/CD, data quality and production…

Manager, Software Engineering

AltaML

Toronto, ON

• Full-time

Familiarity with AI/ML solutions and modern MLOps or software delivery practices

Director of Software Development R&D - AI

Siemens

Saskatoon, SK

…engineers, EDA domain experts, agentic systems architects, and MLOps/AgentOps engineers. Drive disciplined execution, reusable platform investment, product-quality engineering practices,…

Programmer

RI-MUHC | Research Institute of the MUHC | #rimuhc

Montreal, QC

• Full-time

Department / Research Program: CVIS/IDIGH (MLOps & AI Development)

AI Specialist

BrainFinance

Montreal, QC

• Full-time

Work closely with MLOps and SecOps team members to deploy and resolve performance and security patches;

Programmer

RI-MUHC | Research Institute of the MUHC | #rimuhc

Montreal, QC

• Full-time

Department / Research Program: CVIS/IDIGH (MLOps & AI Development)

Manager, Software Engineering

AltaML

Toronto, ON

• Full-time

Familiarity with AI/ML solutions and modern MLOps or software delivery practices

Data Scientist

Tech Consulting

Vancouver, BC

• $30 to $35 USD / hour
• Full-time

Familiarity with machine learning pipelines and MLOps concepts.

AI Architect (T & I) (Telework/Hybrid)

CBC/Radio-Canada

Ottawa, ON · Toronto, ON · Montreal, QC

• Full-time

Develop robust MLOps/LLMOps pipelines with a constant focus on observability, performance profiling and automated testing.

Staff Software Engineer, AI

Hudson Talent Solutions

Toronto, ON

• Full-time

Programmer

RI-MUHC | Research Institute of the MUHC | #rimuhc

Montreal, QC

• Full-time

Department / Research Program: CVIS/IDIGH (MLOps & AI Development)

Senior Director, Program Delivery

RBC

Toronto, ON

• Full-time

Senior AI/ML Engineer

RBC

Toronto, ON

• Full-time

Experience with MLOps and model deployment pipelines.

Agentic Engineer, Innovation

Manulife

Montreal, QC

• Full-time

…workflows. You will work closely with Product, Data Science, MLOps, Technology, Risk, and Global AI Platform teams to move solutions from prototype to controlled pilot and scalable…

AI Architect (T & I) (Telework/Hybrid)

CBC/Radio-Canada

Montreal, QC

• Full-time

Develop robust MLOps/LLMOps pipelines with a constant focus on observability, performance profiling and automated testing.

AI Architect (T & I) (Telework/Hybrid)

Radio-Canada

Montreal, QC

• Full-time

Develop robust MLOps/LLMOps pipelines with a constant focus on observability, performance profiling and automated testing.