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Temporary Meta Machine Learning Jobs in Gatineau, QC

Uottawa

ATPUO - Winter 2027 - ADM3355M - Fintech

Ottawa, ON · On-site

CA$239.47/hr

... machine learning, regulatory risk and law enforcement in FinTech (RegTech). This course aims to ... Professeur a temps-partiel etudiant/ Student Part-Time Professor Date Posted (YYYY/MM/DD): 2026/08 ...

All JobsMeta Machine Learning JobsTemporary Meta Machine Learning JobsTemporary Meta Machine Learning Jobs in Gatineau, QC

Temporary Meta Machine Learning information

What is a temporary Meta machine learning job?

Temporary Meta Machine Learning jobs are short-term positions at Meta (formerly Facebook) that focus on developing, deploying, or researching machine learning models and technologies. These roles may support ongoing projects, fill gaps during employee leave, or address spikes in workload. Responsibilities can include data preprocessing, model training, evaluation, and collaborating with cross-functional teams. Temporary roles often give candidates exposure to Meta's cutting-edge AI tools and processes, and may sometimes lead to permanent opportunities.

What are the key skills and qualifications needed to thrive as a temporary Meta machine learning engineer?

To thrive as a Temporary Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning, typically with experience in Python and relevant ML frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms, and version control systems is often required, along with a proven ability to rapidly learn new technologies. Strong problem-solving skills, adaptability, and effective communication are essential for collaborating within dynamic teams and meeting project goals on tight timelines. These skills ensure that you can quickly contribute to impactful ML projects, deliver results efficiently, and integrate well into fast-paced, innovative environments.

What are some common challenges faced by professionals in temporary machine learning roles at Meta, and how can they be addressed?

Professionals in temporary machine learning roles at Meta often encounter challenges such as quickly acclimating to complex codebases, integrating with established teams, and delivering impactful results within a limited timeframe. Success in these roles typically requires strong technical skills, adaptability, and effective communication. Proactively seeking guidance, leveraging available documentation, and collaborating closely with permanent team members can help overcome these hurdles and maximize contributions during the temporary assignment.

What is the difference between Temporary Meta Machine Learning vs Data Scientist?

AspectTemporary Meta Machine LearningData Scientist
CredentialsTypically requires a background in computer science, statistics, or related fields; certifications in machine learning or data analysis are commonRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are advantageous
Work EnvironmentProject-based, often contract roles within tech companies, startups, or consulting firmsFull-time or contract roles in various industries including finance, healthcare, and tech
Industry UsagePrimarily in tech, AI, and machine learning-focused companiesWidely used across multiple industries including finance, healthcare, marketing, and tech

Temporary Meta Machine Learning roles focus on short-term projects involving machine learning model development and deployment, often requiring specialized technical skills. Data Scientist roles are broader, encompassing data analysis, statistical modeling, and insights generation across diverse industries. While both roles require strong analytical skills and technical knowledge, Temporary Meta Machine Learning positions are more specialized in AI and machine learning applications.

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For Temporary Meta Machine Learning jobs in Gatineau, QC, the most frequently searched job titles are:

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The top searched job categories for Temporary Meta Machine Learning jobs in Gatineau, QC are:

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Cities near Gatineau, QC with the most Temporary Meta Machine Learning job openings:

Temporary Meta Machine Learning jobs near you

Associate Director, Data & Analytics

Canadian Blood Services

Ottawa, ON • On-site

CA$132K - CA$155K/yr

Full-time

Medical, Retirement, PTO

Posted 7 days ago

Key responsibilities

  • Build and lead a high-performing analytics team within the organization.

  • Partner with finance, technology, and business leaders to transform financial data into insights and support decision-making.

  • Establish data governance, stewardship, and quality practices to ensure reliable financial reporting.

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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