As of November 7, 2026, Jobsy lists 10 ai ml engineer jobs in Canada. The most active employers are Conviva, Evismart and Future Works. Skills often requested: ml, machine learning, python and decision making.
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Conviva
Candidates need a strong foundation in machine learning, deep learning, probability, statistics, and algorithms, plus hands-on model development experience from research or industry. A PhD in a quantitative field is preferred, along with programming skills in Python or C++ and experience with PyTorch or TensorFlow.
PyTorch, TensorFlow, Python, C++, Spark, Flink
JAVA Holdings Ltd.: The Java Management team provides high-end project management, development and execution support for its subsidiaries and clients.
3+ YOECandidates need 3-5 years of software engineering or AI/ML experience, strong Python and SQL skills, and hands-on work with LLMs, AI APIs and RAG. Familiarity with cloud AI platforms such as Microsoft Azure and with MLOps practices is also expected.
Python, SQL, Microsoft Azure, Azure OpenAI, Docker, Kubernetes
General Magic
Candidates need a strong understanding of how LLMs work and experience building LLM-powered systems in production. They also need solid backend skills, prompt and tool-calling experience, and comfort using AI coding tools.
Claude Code, Codex
Limbic
2+ YOELimbic needs candidates with a PhD in an AI-related field plus 2 years of ML engineering, or a BSc/MSc plus 4 years. Expert Python and TypeScript/JavaScript, LLM productization, eval-driven development and agent harness experience are required, and candidates must have the right to work in Canada.
Git
Mercor
2+ YOECandidates need at least two years of professional machine learning engineering experience, including production ML systems or LLM applications. They must regularly use AI coding agents and judge model-generated implementations and tradeoffs.
Cursor, Claude Code, Codex, Windsurf, Gemini CLI
Tempo: Based in San Diego, California, Tempo develops thermochemical energy storage (TCES) systems designed for energy-intensive industries.
5+ YOECandidates need 5+ years in software engineering with 3+ years in production AI/ML, a track record of shipping LLM-powered features, and hands-on experience with agent orchestration and streaming data systems. Strong production engineering practices and a habit of using AI tools daily are also required.
LangChain, LlamaIndex, CrewAI, AutoGen, AWS Bedrock, Claude
Urban Ridge Supplies
6+ YOECandidates need 6+ years in machine learning, data or software engineering, including 3+ years building AWS data pipelines. Strong Python, production AI deployment experience, and hands-on work with generative AI and knowledge graphs are required; a Bachelor's degree is required and a Master's is preferred.
AWS SageMaker, AWS ECS, AWS Lambda, AWS S3, AWS EventBridge, AWS Step Functions
Evismart
Candidates need production experience with ML platforms (model registries, versioned datasets, monitoring, rollback) and strong information extraction from messy text. They also need proven evaluation rigour, judgment about when rules beat ML, and the ability to align engineers across squads and time zones.
ML, Reporting, Sales, Quality control, Machine learning, Research
Conviva (1), Evismart (1), Future Works (1), General Magic (1) and JAVA Holdings Ltd. (1).
Postings most often mention ml, machine learning, python, decision making, research, data engineering, aws and ci/cd.
10 companies