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Associate Machine Learning Jobs in Nepean, ON (NOW HIRING)

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Associate Machine Learning information

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$9

$39

$91

How much do associate machine learning jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for associate machine learning in Nepean, ON is $39.50, according to ZipRecruiter salary data. Most workers in this role earn between $15.79 and $55.01 per hour, depending on experience, location, and employer.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.

What are the key skills and qualifications needed to thrive as an associate machine learning engineer?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the most commonly searched types of Machine Learning jobs in Nepean, ON?

The most popular types of Machine Learning jobs in Nepean, ON are:

What cities near Nepean, ON are hiring for Associate Machine Learning jobs?

Cities near Nepean, ON with the most Associate Machine Learning job openings:

Associate Machine Learning jobs near you

Associate Director, Data & Analytics

Canadian Blood Services

Ottawa, ON

CA$132K - CA$155K/yr

Full-time

Medical, Retirement, PTO

Posted 2 days ago

New

Job description

This role requires a minimum of 40% on-site presence. Additional on-site work may be required based on business needs. On-site expectations are subject to change and may be adjusted on a temporary or permanent basis. 

Job posting ID: 9134

Employment status: Regular full-time
 

Salary/Rate of pay: $132,300 - 155,600

Application deadline: 2026-09-11 

  • This external job posting may close earlier than the advertised deadline. We recommend applying as soon as possible.

Application requirements:

  • Your up-to-date resume.
  • Job specific cover letter.
  • We recommend you save a copy of the job posting for reference throughout the recruitment process.

Do you currently work for Canadian Blood Services? All employees must apply via the internal career page.

Together, the work we do connects people and changes lives - including your own. 

Be part of a dynamic, collaborative and caring organization committed to saving and improving lives. Thousands of patients depend on us every day for reliable access to safe blood, plasma, stem cells and organs and tissues.

About The Role: 
Canadian Blood Services is looking for a regular full-time Associate Director, Data & Analytics to join our Finance & Corporate Services division. 

As Associate Director, Data & Analytics, you will shape the future of finance analytics and data-driven decision-making across the organization. Reporting to the Director, Strategy & Integration, you will build and lead a high-performing analytics team while partnering with finance, technology, and business leaders to turn complex financial data into meaningful insights. This role is well suited to a strategic leader who combines strong financial expertise with analytics, governance, and technology knowledge to drive informed decisions, continuous improvement, and long-term business value.

 
Formula for success:    

  • Drawing on your leadership and relationship-building skills, you will bring together finance, technology, and business stakeholders to align priorities, strengthen accountability, and deliver analytics solutions that support organizational decision-making.
  • Using your expertise in finance and business analytics, you will transform financial and operational data into actionable insights, helping leaders better understand performance, costs, trends, and strategic opportunities.
  • You will establish strong data governance, stewardship, and quality practices that improve trust in financial data and support consistent, reliable reporting across the organization.
  • By developing predictive models, scenario analyses, and forecasting capabilities, you will help improve planning accuracy and support both strategic and operational decision-making.
  • Leveraging your knowledge of business intelligence, data visualization, automation, and emerging technologies, you will modernize reporting capabilities and increase the value delivered through analytics.
  • Through coaching, mentoring, and capability building, you will develop a high-performing team that embraces innovation, data literacy, continuous learning, and evidence-based decision-making.


Desired Education & Skills: 

  • Bachelor's degree in Finance, Accounting, Economics, Data Analytics, Business, Information Systems, or a related field; MBA, CPA, CFA, or equivalent professional designation preferred.
  • 8-12 years of progressive experience in finance, FP&A, management reporting, analytics, data management, business intelligence, or finance transformation, with a track record of delivering enterprise-scale analytics and reporting solutions.
  • Proven people management experience, including leading analytics, finance, or business intelligence teams, developing talent, and driving cross-functional initiatives while influencing senior leaders and stakeholders.
  • Demonstrated ability to lead complex programs and projects from strategy through execution and continuous improvement, including change management, prioritization, and management of multiple workstreams.
  • Strong expertise in financial analysis, planning, reporting, data management, analytics, visualization, and business intelligence tools; experience with health-related data is highly desirable.
  • Familiarity with modern data and technology platforms, including cloud-based analytics environments, SAP, TM1, Python, R, AI, and machine learning applications is considered an asset.
  • Exceptional communication, presentation, stakeholder management, and relationship-building skills, with the ability to influence senior leadership and collaborate effectively across diverse teams.
  • Strategic, results-oriented leader who demonstrates integrity, adaptability, initiative, sound judgment, and the ability to navigate ambiguity, manage competing priorities, and deliver outcomes under pressure.

What we offer you:

  • Competitive base salary range.
  • Annual Performance Award up to 10%.
  • 4 weeks' paid vacation
  • Comprehensive group health benefits
  • Defined benefits pension plan.
  • Employee discounts, wellness programs and professional advancement opportunities.


What You Can Expect

  • This role will work in a hybrid environment with requirements to be onsite at one of Canadian Blood Services location at least 40% of the time/2 days of the week.
  • You will work Monday to Friday, 37.5 hours per week, 7.5 hours a day. 
  • Travel to Ottawa periodically, as required, to support business initiatives and stakeholder engagement.


If this role resonates with you, we encourage you to apply by providing your up-to-date resume. This could be your first step towards a meaningful and inspiring career. Come to work each day knowing that you save lives. 

We acknowledge that the work of Canadian Blood Services spans many Territories and Treaty areas across the country, and we are grateful for the Traditional Knowledge Keepers and Elders who have guided us in this important work. We recognize the land and waters that have inspired our work and offer gratitude to those Indigenous peoples on whose territory we work, live and play.

Diversity and inclusion play a vital role in ensuring health equity for patients across Canada. We are committed to reflecting Canada's population in our organization and fostering an environment where all employees can be their authentic selves, with equal opportunities to succeed and contribute.  

We thank all applicants for their interest. However, only those considered for an interview or those invited to participate in an assessment will be contacted. Emails are sent directly from our system, to ensure you receive them please add donotreply@blood.ca and system@successfactors.com to your safe senders list. 

Applicants who require accommodation should discuss their needs with us.

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