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Director Machine Learning Jobs in Ontario (NOW HIRING)

Arcadion

Junior AI Developer

Ottawa, ON · On-site

Foundational knowledge in machine learning and NLP principles * Proficiency in Python and ... Direct mentorship from experienced AI architects and our Director of AI * Access to real-world ...

MasterCard

Director, Data Scientist

Toronto, ON · Hybrid

The Mastercard Security Solutions Data Science team is seeking a Director of Data Science to lead the development and delivery of machine learning models focused on Anti-Money Laundering and crypto ...

THOMSON REUTERS

Lead Research Engineer

Toronto, ON · On-site +1

As a member of Thomson Reuters Labs, you will have a direct impact on our company and develop ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

OpsGuru

Principal Data&AI Architect

Toronto, ON · On-site

We are experts in the data, machine learning/artificial intelligence, and cloud-native technologies ... A history of delivering presentations to a wide ranging audience including CxO,VP, Director level ...

PRT

Machine Operator

Dryden, ON

Career Development & Learning: Grow your skills and advance your career with personalized guidance ... as directed by the Nursery Manager or designates. This engaging, high paced, physical position ...

Marmon

Machine Operator 1

Woodbridge, ON · On-site

We're committed to making a positive impact on the world, providing you with diverse learning and ... Signal coworkers to direct them to move products during the production process. * Prepare raw ...

Lemurian Labs

... programming machine learning models. As a Senior DSL Compiler Engineer, you will focus on the ... Own a critical layer of our compiler stack where optimization decisions have direct, measurable ...

McKesson

Director Data Engineering

Mississauga, ON · On-site

We are seeking an exceptional Director of Data Engineering to join McKesson Technology US ... Lead advanced implementation of Databricks for large-scale data processing, machine learning ...

McKesson

Director Data Engineering

Mississauga, ON · On-site

We are seeking an exceptional Director of Data Engineering to join McKesson Technology US ... Lead advanced implementation of Databricks for large-scale data processing, machine learning ...

Wawanesa

Director, Direct Venture Pricing

Toronto, ON · On-site

$170 - $220/hr

Job Overview The Director, Direct Venture Pricing leads the Direct-to-Member (D2M) pricing strategy ... Lead advanced pricing models and methodologies using AI, predictive analytics, machine learning ...

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Director Machine Learning information

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Ontario?

The most popular types of Machine Learning jobs in Ontario are:

What are popular job titles related to Director Machine Learning jobs in Ontario?

For Director Machine Learning jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Director Machine Learning jobs in Ontario look for?

The top searched job categories for Director Machine Learning jobs in Ontario are:

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Junior AI Developer

Arcadion

Ottawa, ON • On-site

Full-time

Re-posted yesterday

Key responsibilities

  • Support the design, development, testing, and deployment of AI and machine learning applications.

  • Assist in building, testing, and fine-tuning large language models and retrieval-augmented generation (RAG) pipelines.

  • Contribute to prompt engineering, integration of LLMs into applications, and support data preprocessing and API integrations.

Job description

About Arcadion

Arcadion is a leading full-stack enterprise IT services and AI development firm headquartered in Ottawa. We specialize in delivering cutting-edge solutions across cloud infrastructure, cybersecurity, digital transformation, and AI automation. Our AI division is at the forefront of building intelligent systems, enterprise AI agents, and next-generation tools using advanced language models (LLMs), RAG pipelines, and machine learning technologies.

We are looking for a Junior AI Developer to join our in-house team at our Ottawa headquarters. This is a full-time, on-site position offering a unique opportunity to work directly with senior engineers and the Director of AI on innovative projects that span across sectors like healthcare, finance, construction, robotics, and legal tech.


Role Overview

As a Junior AI Developer, you’ll support the design, development, testing, and deployment of AI and machine learning applications. You will contribute to real-world use cases involving custom LLM integrations, automation agents, document intelligence systems, and AI-enhanced enterprise tools.

Key Responsibilities

  • Work closely with the Director of AI on the development of AI agents, copilots, and intelligent automation tools
  • Assist in building, testing, and fine-tuning large language models and retrieval-augmented generation (RAG) pipelines
  • Contribute to prompt engineering and integration of LLMs into web-based or API-driven applications
  • Support data preprocessing, embedding, and vector database structuring (e.g., Pinecone, Weaviate)
  • Write clean, testable Python code and support REST API integrations
  • Participate in QA testing, performance benchmarking, and debugging AI system behavior
  • Stay updated on emerging tools, frameworks, and trends in the AI ecosystem
  • Collaborate with cross-functional teams including DevOps, cloud engineers, and UI/UX designers

✅ Requirements

  • Degree or diploma in Computer Science, AI/ML, Data Science, Software Engineering, or related discipline
  • Foundational knowledge in machine learning and NLP principles
  • Proficiency in Python and familiarity with ML libraries like scikit-learn, PyTorch, or TensorFlow
  • Understanding of APIs, JSON, Git-based version control, and cloud fundamentals
  • Excellent problem-solving skills and attention to detail
  • Willingness to work on-site full-time in our Ottawa office (this is not a hybrid or remote role)

Bonus Skills (Assets)

  • Exposure to LLMs such as OpenAI, Claude, Mistral, or LLaMA
  • Experience with LangChain, Hugging Face Transformers, or similar frameworks
  • Basic experience with vector databases or embedding models
  • Familiarity with Azure, AWS, or GCP
  • Interest in chatbot development or knowledge-based search applications

What You’ll Gain

  • Direct mentorship from experienced AI architects and our Director of AI
  • Access to real-world enterprise projects and hands-on development with production-grade models
  • Growth path toward senior AI engineering or solution architecture roles
  • An innovative and supportive team environment inside one of Ottawa’s leading IT firms
  • Competitive compensation and performance-based opportunities

Apply Now

If you're ready to kickstart your career in AI and want to be part of a forward-thinking team building real-world applications, we’d love to meet you.