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Contract Meta Machine Learning Jobs in Toronto, ON

Meridian Credit Union

Data Scientist

Toronto, ON

CA$68K - CA$100K/yr

Please note - this is a 12-month contract opportunity* The Data Scientist will be a pivotal member ... Leverage statistical techniques, machine learning, and data mining. This role involves building ...

Litera

Associate, Legal Knowledge Engineering

Toronto, ON · Hybrid

CA$115K - CA$133K/yr

Background in legal operations, legal program management, or contract management systems. * Hands-on exposure to AI, machine learning, or generative AI tools. * Prior experience working with or ...

Providius

Quality Assurance Lead

Hamilton, ON · On-site

Lead API and contract testing across services and integration boundaries * Develop test tooling ... Experience validating data pipelines or machine learning systems * Familiarity with simulation ...

Upwork

Sr. Product Manager Work Guarantees

Toronto, ON · On-site

... contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 ... With access to professionals spanning more than 10,000 skills across AI & machine learning ...

EllisDon

Groundskeeper (Contract)

Toronto, ON

CA$20 - CA$26/hr

... other small machinery. * Perform basic equipment checks and report mechanical issues promptly ... continuous learning, opportunity for growth, and a competitive compensation package within an ...

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All JobsContract Meta Machine Learning JobsContract Meta Machine Learning Jobs in Toronto, ON

Contract Meta Machine Learning information

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

To thrive as a Contract Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and advanced machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems is essential, along with experience in meta-learning techniques. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design innovative solutions and collaborate with diverse teams. These competencies are crucial to efficiently develop, implement, and optimize meta-learning models that address complex, evolving business challenges.

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

AspectContract Meta Machine LearningContract Data Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksMaster's or PhD in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentFocus on developing and deploying machine learning models, often in AI projectsData analysis, modeling, and interpretation to inform business decisions
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, and tech firms

Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?

Contract machine learning engineers at Meta often work on high-impact projects with tight deadlines and rapidly evolving requirements. One of the main challenges is quickly integrating into existing teams and understanding Meta's large-scale data infrastructure and proprietary tools. To prepare, candidates should familiarize themselves with Meta's open-source frameworks, practice adapting to new codebases, and be ready to communicate effectively with cross-functional stakeholders. Building strong collaboration skills and maintaining flexibility will help contract engineers deliver value efficiently in this fast-paced environment.

What is a contract Meta machine learning professional?

Contract Meta Machine Learning professionals are specialists hired on a contractual basis to design, develop, and optimize machine learning models, often focusing on meta-learning techniques. Meta-learning, sometimes called 'learning to learn,' involves creating algorithms that can adapt to new tasks with minimal data or retraining. These professionals typically work with organizations to solve complex, data-driven problems, leveraging advanced AI techniques for efficiency and scalability. They may also help integrate these solutions into existing systems and provide guidance on best practices for model deployment.
What are the most commonly searched types of Meta Machine Learning jobs in Toronto, ON? The most popular types of Meta Machine Learning jobs in Toronto, ON are:
What are popular job titles related to Contract Meta Machine Learning jobs in Toronto, ON? For Contract Meta Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Contract Meta Machine Learning jobs in Toronto, ON look for? The top searched job categories for Contract Meta Machine Learning jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Contract Meta Machine Learning jobs? Cities near Toronto, ON with the most Contract Meta Machine Learning job openings:
Contract Meta Machine Learning jobs near you
Infographic showing various Contract Meta Machine Learning job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

RQ10972 - Int. Data Analytical Specialist/Scientist

Source Code

Toronto, ON • On-site

Contractor

Re-posted 16 days ago

Job description

RQ10972 - Int. Data Analytical Specialist/Scientist

10+ month contract (210 business days) - possible extension

ONSITE 5 days - Toronto

Must Have:

  • Strong data analysis and problem-solving skills
  • Advanced proficiency in SQL for data extraction, transformation, and analysis
  • Expertise in Power BI dashboard and report development
  • Ability to design and develop interactive Power BI dashboards, scorecards, and KPI reports
  • Strong knowledge of DAX and Power Query for advanced analytics and data transformation
  • Experience with data modeling (fact and dimension tables, star schema)
  • Data cleansing, validation, and quality management
  • Experience with ETL processes and data integration from multiple sources
  • Ability to gather business requirements and translate them into reporting solutions
  • Strong data visualization and storytelling skills
  • Experience creating executive, operational, and analytical reports
  • Knowledge of Power BI Service, report publishing, workspace management, and security
  • Understanding of Row-Level Security (RLS) and data governance practices
  • Experience working with large datasets and data warehouses
  • Familiarity with cloud analytics platforms and modern data ecosystems
  • Ability to identify trends, patterns, risks, and opportunities through data analysis
  • Strong stakeholder communication and presentation skills
  • Experience documenting data definitions, KPIs, and reporting processes

Nice to have:

- Prior OPS or Public sector Exp.

Description:

Develop BI solutions using Microsoft Power BI for varying business needs, following all applicable GO-ITS standards and industry best practices while adhering to the existing technological solution framework. The successful candidate will work with various technology teams to translate business needs and work through the analysis and lead the development phases.

Deliverable:

EYIA IT Solution development EYIA, Allocation:100%

  • The above resources will also support CSC release and infrastructure solutions support project activities, urgent priorities, changing needs, or time-sensitive infrastructure upgrades, or other project activities supporting any CSC platforms overseen by the Cluster where annual work is required.

Responsibilities:

  • Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights
  • Work closely with client's groups to assess current data analytics and reporting capabilities, gather future-state requirements and identify further opportunities for improvement
  • Facilitate decision-making and manage client expectations
  • Own the execution of analytics initiatives including end-to-end reporting and data set delivery
  • Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences
  • Participate in documentation, development, testing, and end user training
  • Work with functional area experts, Data Architects and ETL Developers and stakeholders to understand complex business issues and develop appropriate Business Intelligence solutions
  • Assist the Lead Developers with ETL and/or SSIS development where necessary
  • Design methods to capture, structure, transform, and process data to be used to generate models
  • Build data models that provide information which is accurate, easy to understand and unbiased
  • Communicate complex quantitative analysis in a clear and precise manner, providing useful visuals and summaries
  • Provide interpretation, advice, and expertise to client groups and other stakeholders, including direction on how to transform analytics into actionable information and proactive insights that support decision making

General Skills:

  • Excellent analytical, problem-solving and decision-making skills, verbal and written communication skills, interpersonal skills and team work skills
  • Outstanding consulting and relationship management skills, with proven ability to elicit requirements, develop/consult on options and solutions, and provide effective guidance
  • Adept at communicating to both technical and non-technical audiences
  • Experience with a range of analytical methods, techniques and tools such as, but not limited to: statistical analysis and modelling, data mining, machine learning and algorithms, natural language processing, and other related disciplines at the specified experience level
  • Ability to manipulate and analyze complex, high-volume data from structured and unstructured sources
  • Experience developing data extraction, transformation, and load functionality for large relational and multi-dimensional data stores
  • Experience designing high quality interfaces to present information in a meaningful way to end users
  • Broad understanding of data management, financial and business analysis, database architecture, and information visualization
  • Proficiency in query languages and experience constructing complex query statements
  • Experience in one or more programming or scripting languages
  • Strong investigative and logic skills
  • Proficiency in mathematics and statistics
  • Awareness of emerging Business Intelligence trends and directions

AI Disclaimer: Source Code may use artificial intelligence (AI) tools to assist in certain aspects of its recruiting and business operations.

Note: The higher end of the range is intended for absolutely exceptional candidates who meet all must-have requirements and most or all nice-to-have qualifications. The client will evaluate candidates based on both rate expectations and overall skill set when shortlisting.

INCORPORATED RATE RANGE (7.25 billable hours per day)

  • $59.12/hr - $63.35/hr Inc.

T4 RATE RANGE (7.25 billable hours per day)

  • $47.29/hr - $50.68/hr T4