1

Machine Learning Developer Internship Jobs in Ottawa, ON

AI/ML Engineer - Remote

Ottawa, ON · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

An interest in how AI and machine learning are shaping the future of software development and ... Developer Compensation and Benefits at Ericsson At Ericsson, we know that our people are the key to ...

We're looking for a passionate Senior Full-Stack Developer who wants to make a difference in a fast ... Machine Learning and Algorithms Compensation * Competitive Salary * Stock options * Comprehensive ...

Social networking, machine learning, and big data analytics demand ever-increasing network ... We are seeking a motivated and talented Optical Engineer to join our Optical System Integration ...

Social networking, machine learning, and big data analytics demand ever-increasing network ... We are seeking a motivated and talented Optical Engineer to join our Optical System Integration ...

Our Software Engineering team is currently developing end-to-end real-time solutions for the public ... Machine Learning (ML), Big Data Analytics, and Decision Support Systems (DSS). Larus has three core ...

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

Machine precision parts to tight tolerances across a range of materials, including aluminum alloys ... Contribute to a culture of continuous learning, craftsmanship, and honest technical discussion.

CNC Machinist (Programmer)

Ottawa, ON · On-site

CA$60K - CA$100K/yr

Machine precision parts to tight tolerances across a range of materials, including aluminum alloys ... Contribute to a culture of continuous learning, craftsmanship, and honest technical discussion.

Showing results 21-40

Machine Learning Developer Internship information

What is the difference between Machine Learning Developer Internship vs Data Scientist Internship?

AspectMachine Learning Developer InternshipData Scientist Internship
Required CredentialsBasic programming skills, coursework in ML/AI, some internshipsStatistics, programming, data analysis coursework, some internships
Work EnvironmentTech companies, startups, research labsTech firms, finance, healthcare, consulting
Employer & Industry UsageDevelop ML models, algorithms, software toolsAnalyze data, generate insights, build predictive models

While both internships involve working with data and algorithms, a Machine Learning Developer Internship focuses more on building and deploying machine learning models and software, whereas a Data Scientist Internship emphasizes data analysis, statistical modeling, and deriving insights from data. Candidates should choose based on their interest in either software development or data analysis within the AI and data industry.

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

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

Senior Full Stack Python Developer - FT

Hamilton, ON • On-site

Full-time

Re-posted yesterday


Key responsibilities

  • Take technical ownership of the platform architecture, implementation, and delivery.

  • Design and develop modern full-stack web applications using Python and React or Next.js.

  • Build secure backend services, REST APIs, authentication, and database solutions.


Job description

Senior Full-Stack Software Engineer (AI Research Platform)
We are seeking a Senior Full-Stack Software Engineer to lead the design and development of an AI-enabled research platform from concept through production deployment. You will work directly with a multidisciplinary research team to translate research ideas into a scalable, secure, and production-quality software platform. This role requires technical leadership, hands-on software development, and the ability to make sound architectural decisions while preparing the platform for future AI-powered capabilities such as prediction, recommendation, optimization, and intelligent decision support.
Key Responsibilities
● Take technical ownership of the platform architecture, implementation, and delivery.
● Design and develop modern full-stack web applications using Python and React or Next.js.
● Build secure backend services, REST APIs, authentication, and database solutions.
● Design scalable cloud infrastructure using AWS, Azure, or Google Cloud.
● Implement CI/CD pipelines, automated testing, monitoring, and deployment processes.
● Integrate external APIs, research systems, and AI/ML services.
● Develop dashboards, reports, visualizations, and user workflows.
● Collaborate with researchers to translate research requirements into software solutions.
● Recommend technologies, engineering practices, and architectural improvements.
● Produce technical documentation and support long-term platform maintainability.
Required Qualifications
● Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related field.
● 5+ years of professional experience building production web applications.
● Strong Python backend development experience.
● Experience building modern frontend applications using React or Next.js.
● Experience designing scalable software architecture and RESTful APIs.
● Experience with relational databases and data modeling.
● Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud).
● Experience with Docker, Git, and CI/CD pipelines.
● Strong software engineering, testing, debugging, and communication skills.
● Ability to work independently and make technical decisions with minimal supervision.
Preferred Qualifications
● Experience integrating AI or machine learning capabilities into production software.
● Knowledge of prediction, forecasting, recommendation, classification, or optimization techniques.
● Experience with data visualization and analytics..
● Familiarity with Infrastructure as Code, or modern DevOps practices.
● Experience developing research, scientific, or engineering software.
● Familiarity with server user access, storage, backups, monitoring, logs, and deployment support.
● Familiarity with server-side software dependencies, environment configuration, and resource usage.
Who You Are
You are an experienced software engineer who enjoys building products from the ground up. You take ownership, solve complex technical problems, communicate effectively with both technical and non-technical stakeholders, and deliver high-quality software that can evolve as research needs grow.
Application Instructions:
Please submit your resume and, if available, links to GitHub repositories, technical portfolios, or examples of production software you have designed or developed