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Machine Learning Data Associate Jobs in Ottawa, ON

Larus Technologies

Software Engineer

Ottawa, ON · On-site

Learning and development opportunities. About Larus Based in Ottawa, Canada, Larus Technologies ( is a software company specializing in Artificial Intelligence (AI), Machine Learning (ML), Big Data ...

Providius

Quality Assurance Lead

Hamilton, ON · On-site

Experience validating data pipelines or machine learning systems * Familiarity with simulation, synthetic data, or scenario-based testing * Experience with chaos, fault-injection, or resilience ...

AstraZeneca

Process Engineering Intern

Hamilton, ON · On-site

Data skills: Proficiency in machine learning and applications of AI. GMP awareness: Familiarity with Good Manufacturing Practices and Good Documentation Practices; prior regulated industry exposure ...

New

Fullscript

AI Enablement Specialist

Ottawa, ON · On-site

You will not be expected to build machine learning models or act as a full-time trainer. You should ... Familiarity with AI governance, data privacy, or enablement in healthcare or another regulated ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in Ottawa, ON

Machine Learning Data Associate information

What is a machine learning data associate?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What are the key skills and qualifications needed to thrive as a machine learning data associate?

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a machine learning data associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

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

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

How do I become a machine learning data associate?

To become a machine learning data associate, candidates typically need a high school diploma or equivalent, with some roles preferring a bachelor's degree in computer science, data science, or related fields. Relevant skills include data annotation, understanding of machine learning concepts, and proficiency with tools like Excel, SQL, or data labeling platforms. Gaining experience through internships or certifications can improve job prospects in this field.

Is a Machine Learning Data Associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Compensation and job satisfaction vary depending on the employer and location, but it generally provides a solid foundation for a career in machine learning or data analysis.

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

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

Machine Learning Data Associate jobs near you
Infographic showing various Machine Learning Data Associate job openings in Ottawa, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Software Engineer

Ottawa, ON • On-site

Larus Technologies
See more jobs at Larus Technologiesexternal

Full-time

Medical, Dental, PTO

Re-posted yesterday

Job description

Full-time: 37.5 Hours per week, Monday to Friday
Location: Ottawa Office (3 days per week / hybrid), 170 Laurier Ave West, Suite 310, Ottawa, ON K1P 5V5 Ottawa-based Home Office (2 days per week)
Reporting To: Technology Director
Salary Range: $90,000 to $140,000
Type of Vacancy: New
 

We are looking for enthusiastic, self-motivated individuals to join the Larus team as a Software Engineer. Our Software Engineering team is currently developing end-to-end real-time solutions for the public safety and security industries. This includes data interfacing, collection, aggregation, display, exploitation, and fusion functionalities. As a member of the Software Engineering team, you will design and develop software modules within an existing product. You should expect to work on a wide variety of software problems and learn and apply new skills.


Key Responsibilities: 

  • Design and implement scalable, distributed software systems;
  • Design, develop, integrate and test software modules and systems;
  • Advocate high quality and best-practices in software design and development;
  • Interface development for various protocols, data formats and logical connections;
  • Close interaction with other team members on system integration and validation
  • Participate in all aspects of the software development process including planning, retrospectives, and demos;
  • Meeting assigned goals with the team and releasing deliverables to stakeholders and
  • customers; and,
  • Other duties as assigned.


Qualifications: Some individuals are less likely to apply for a job unless they consider they are a perfect match. At Larus Technologies we welcome motivated individuals to our diverse and inclusive workplace. Thus, if you are excited about this role but do not have every qualification, we encourage you to apply anyway.

  • University degree in Computer/Software Engineering, Computer Science or other related Engineering degree;
  • Required to meet qualifications to obtain a Canadian Government security clearance (typically requires the candidate to be a Canadian citizen or permanent resident of Canada).
  • 5+ years of direct experience in design, development, deployment, and verification of software, with at least 2 years in Java and 2 years in python;
  • Experience with creating software documentation and other forms of technical writing;
  • Experience in developing and debugging high performance software;
  • Experience in security-oriented software design principles;
  • Experience in using REST APIs;
  • Experience with databases, including as SQL and document stores;
  • Experience using source control such as Git and build tools such as Gradle;
  • Experience with different OS (Windows, Linux);
  • Experience in one or more of virtual machines, Kubernetes, containerization, cloud platforms;
  • Excellent computer and manual problem analysis, evaluation, and resolution skills;
  • Strong organizational and problem-solving skills;
  • Passion for learning and solving complex problems;
  • Strong communication skills;
  • Experience in Continuous Integration and Continuous Deployment (CICD) Systems;
  • Organized and focused; and
  • Ability to work in a dynamic, fast-paced work environment;
     

Preferred Skills:

  • Experience with shell scripts;
  • Experience with object-oriented design;
  • Experience in designing REST APIs;
  • Experience with Python, JavaScript and TypeScript;
  • Design diagram creation (UML, flowcharts, dataflow diagrams, etc);
  • Knowledge of cyber security best practices;
  • Concurrent, message driven, distributed applications;
  • Large dataset processing and analysis;
  • Knowledge of computer networking;
  • Provide guidance and mentorship and lead technical discussions;
  • Use or develop GIS software; and
  • Develop automated testing tools or define test cases.
     

Benefits

  • Competitive compensation package
  • Comprehensive Health and Dental insurance package;
  • Competitive vacation and paid time off;
  • Company-sponsored team-building events; and
  • Learning and development opportunities.


About Larus Based in Ottawa, Canada, Larus Technologies (https://larus.com) is a software company specializing in Artificial Intelligence (AI), Machine Learning (ML), Big Data Analytics, and Decision Support Systems (DSS). Larus has three core business lines: Data Fusion and Analytics, Data Science, and Research and Engineering. Larus software products include the patented Total::Insight™ DSS, the Total::Perception™ Systems Simulation Engine (SSE), and the Total::Vision™ Video Analytics Solution (VAS). Our Data Science and Engineering Consulting focuses primarily on Retail, Supply Chain Management, Public Safety, and Defence, while Research and Engineering focuses on innovations in advanced AI/ML across industries. Larus is renowned for its ability to solve complex customer challenges that require multi-sensor data collection, aggregation, exploitation, fusion, and analytics.

We thank all applicants; however, only those selected for an interview will be contacted. Upon completion of the recruitment process, all candidates interviewed will be notified if they are not selected for the role.

We use AI support tools to screen applicants for minimum role requirements.

At Larus, we celebrate diversity and are committed to creating an inclusive environment for all employees.

Larus has an accommodation process and provides accommodation for applicants with disabilities. If you have specific ergonomic needs or require other accommodation because of a disability or a medical need, please don’t hesitate to contact Larus at hr@larus.com to discuss arrangements.

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