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Apprentice Data Scientist Machine Learning Jobs in Ottawa, ON

Robotic AI Engineer

Ottawa, ON · On-site

CA$75K - CA$110K/yr

You will work at the intersection of robotics, machine learning, and space systems, building AI ... Build data pipelines for training, evaluation, and deployment of models * Create simulation ...

Software Developer

Kanata, ON · On-site

CA$80K - CA$105K/yr

... time video and data transport in 1000's of unique systems. Summary As the leader in high ... Develop software applications for video switching, machine learning, industrial inspection and ...

Implement machine learning, computer vision, or signal processing algorithms on embedded platforms ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

Implement machine learning, computer vision, or signal processing algorithms on embedded platforms ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

CNC Machinist (Programmer)

Ottawa, ON · On-site

CA$60K - CA$100K/yr

Commercialization and science reinforce each other by design. About this role: The CNC Machinist ... Contribute to a culture of continuous learning, craftsmanship, and honest technical discussion.

In-depth knowledge of data science tools such as NumPy, pandas, matplotlib or R equivalent ... Machine learning development and deployment is an asset * Automation experience is an asset Who We ...

New

Collect, clean, and transform structured and unstructured data to support generative AI, retrieval, and machine learning workloads * Develop and maintain the data models and pipelines that feed AI ...

Artificial Intelligence / Machine Learning * Data Science * Data modeling * Autonomous systems * UX principles and methodologies * Software systems integration * Software development lifecycle ...

Artificial Intelligence / Machine Learning * Data Science * Data modeling * Autonomous systems * UX principles and methodologies * Software systems integration * Software development lifecycle ...

Showing results 21-40

Apprentice Data Scientist Machine Learning information

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

AspectApprentice Data Scientist Machine LearningData Scientist
Required CredentialsBasic degree, entry-level certificationsAdvanced degree (Master's or PhD), specialized certifications
Work EnvironmentInternships, training programs, entry-level projectsFull-time roles in various industries, independent project work
Employer & Industry UsageStartups, tech companies, research labsCorporate, finance, healthcare, tech firms
Search & Comparison IntentLearning path, entry-level roles, trainingCareer advancement, expertise, senior roles

In summary, Apprentice Data Scientist Machine Learning roles are entry-level positions focused on learning and skill development, often requiring basic education and certifications. Data Scientists typically hold advanced degrees and have more experience, working independently on complex projects across various industries. The main difference lies in experience level, responsibilities, and career stage.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Ottawa, ON?

The most popular types of Data Scientist Machine Learning jobs in Ottawa, ON are:

Director of Product , Data Flywheel

Serve Robotics

Ottawa, ON • Remote

$221K - $275K/yr

Full-time

Re-posted 20 days ago


Job description

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.

The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

Who We Are

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.

Data is an integral part of Serve’s autonomy stack. As of EOY 2025, Serve has 2000 actively deployed robots making real world deliveries across numerous US cities. ‘Autonomy Data Flywheel’ is an internal Data product initiative that leverages on this large scale of real world robots and super-charges our End-End AI model development. It covers the entire data lifecycle starting with the data offloading infrastructure on edge, depots, and meeting the engineering needs of training, testing & validation.

Responsibilities

  • Build and drive roadmap for the Autonomy Data Flywheel

  • Draft requirements and ensure delivery for all consumers of the data including End-End AI, Perception, Safety and other teams.

  • Work with engineering teams to set and achieve targets for both quality and quantity KPIs

  • Define and maintain Data Diversity metrics for maximizing scenario coverage on Sidewalk ODD(Operational Design Domain)

  • Cross functional initiatives with Operations and IT teams to drive depot and cloud infrastructure work.

  • Support Data pipelines so that we are retaining the right data without impacting safety and day to day operations

Qualifications

  • Product/Engineering Experience for data infrastructure in AV/Automotive or Robotics/Edge AI industries

  • Experience building production level ML Ops pipelines

  • Fluent with training datasets and evals for AI models

  • Preferred: Experience with data infrastructure at Edge/Depot (E.g. NAS infra) and Cloud

  • Experience with ML Ops, targeted and active learning approaches

*Please note: The listed base salary range applies to candidates based in the San Francisco Bay Area. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely within the United States and Canada

  • USA - ALL: $200k - $245k USD

  • Canada - ALL: $175k - $215k CAD

Compensation Range: $221K - $275K