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Machine Learning Engineering jobs in Canada

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Skill:Machine Learning Engineering

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1–2 jobs· newest first

Lead AI/ML Engineer
Pythian · Remote, Canada
Remote · Full-time · Lead
System Analyst, Intermediate
Linamar Career Site - New · Guelph, Canada
Competitive CompensationOn-site

+10K new in the last hour

Lead AI/ML Engineer

Pythian · Posted Nov 5, 2026

Remote, Canada
Remote
Full-time · Lead
7–10 years

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Define the technical vision, strategy, and overall architecture for Artificial Intelligence and Machine Learning solutions. Lead engineering teams, mentor junior and mid-level engineers, and integrate advanced models like LLMs and Generative AI into enterprise products.

Responsibilities

Lead the architectural design and strategic development of high-performance AI and machine learning pipelines for complex enterprise initiatives.
Provide technical leadership, mentorship, and guidance to AI/ML engineers and data scientists.
Deploy, manage, and scale diverse AI models, including pre-trained models (e.g., LLMs, vision models) and custom ML models, into production environments.
Work with data scientists and researchers to operationalize models, transforming prototypes into resilient, production-grade AI systems.
Optimize model performance, latency, and cost-efficiency across various cloud and edge deployment targets.

Requirements

Bachelor’s or Master’s degree in Computer Science
Engineering
Artificial Intelligence
related quantitative field
Nice to have: Ph.D.

Skills

machine learning engineering software development ML/AI focus ADK agentic frameworks Python TensorFlow PyTorch Scikit-learn Large Language Models (LLMs)Generative AI AWS GCP Azure Docker Kubernetes Data Engineering ETL/ELT Git Kubeflow MLflow MLOps

Benefits

Competitive total rewards package
Blog during work hours
Day off to volunteer
Substantial training allowance
Professional development days

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System Analyst, Intermediate

Linamar Career Site - New · Posted Nov 4, 2026

Guelph, Ontario, Canada
On-site
Competitive Compensation
4+ years

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Business System Analyst to bridge business requirements and technical data solutions.

Responsibilities

Analyze business needs and translate them into functional, system, and data requirements that support analytics and reporting solutions
Evaluate existing systems, data flows, and integrations to identify gaps, risks, and optimization opportunities
Collaborate closely with business stakeholders and IT teams to ensure solutions align with business objectives and technical standards
Support the design and delivery of data and analytics solutions, including system integrations, data pipelines, and reporting platforms
Maintain system and data documentation, including requirements, data mappings, process flows, and technical specifications

Requirements

Bachelor’s degree or equivalent practical experience

Skills

Machine Learning Engineering Strong mathematical foundation Data Science Pro or low-code application development

Power BI & Fabric

Working knowledge of SQL

Experience with leading initiatives in AI-related domains

Experience supporting analytics or reporting solutions

Strong analytical, problem solving, and documentation skills

Excellent communication skills

System analysis and requirements mapping

Business process analysis and documentation

SQL querying and data validation

Stakeholder engagement and communication

Functional and technical documentation

Troubleshooting and root cause analysis

Knowledge of Microsoft Fabric

Familiarity with Power BI datasets, reports, and basic DAX

Understanding of ETL / data integration concepts

Knowledge of data governance and data quality best practices

Microsoft Fabric

Benefits

Drug, Dental & Vision
Career advancement opportunities
Sustainability Counsel
Community outreach
Local vendor discounts

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