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Research Assistant Machine Learning Jobs in London, ON

... Assist with machine changeovers, operating overhead cranes to change machine fixtures, and setting ... Proactive in learning and development activities. Proven ability to work with people. Works well ...

... Assist with machine changeovers, operating overhead cranes to change machine fixtures, and setting ... Proactive in learning and development activities. Proven ability to work with people. Works well ...

Accounting Manager

London, ON · On-site

CA$95K - CA$115K/yr

You as Accounting Manager will: * Assist with month-end internal financial reporting processes and ... Perform research on technical accounting matters, and accounting standards analysis for new ...

M&A Analyst

London, ON · Hybrid

CA$70K - CA$105K/yr

Conduct market research to identify potential acquisition targets in the engineering, environmental ... Due Diligence Coordination: Assist the Director in managing the end-to-end due diligence process ...

... you'll research on-chain protocols and run data-driven experiments to help advance our ... A passion for learning about protocol microstructure and design mechanisms. We may use artificial ...

Showing results 21-40

Research Assistant Machine Learning information

See London, ON salary details

$8

$30

$76

How much do research assistant machine learning jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for research assistant machine learning in London, ON is $30.06, according to ZipRecruiter salary data. Most workers in this role earn between $13.90 and $43.16 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive as a research assistant machine learning?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What cities near London, ON are hiring for Research Assistant Machine Learning jobs?

Cities near London, ON with the most Research Assistant Machine Learning job openings:

Software Developer

London, ON

Full-time

Re-posted 7 hours ago


Job description

Who are we?

Proax Technologies is a leading Technical Automation Distributor that offers innovative product solutions in the areas of Automation and Robotics, Motion Control and Machine Safety, creating close relationships with our valued customers, vendors, and employees.


Why Choose Proax?

  • Great Place to Work
  • We offer an engaging, inclusive, clean, and safe work environment
  • Technical training of our products to ensure quality customer service
  • Opportunities for career growth and development
  • Competitive salaries and benefits
  • Work with collaborative team members in the automation industry


General Description

Software Developer will use their knowledge to design, create, implement, and maintain software, applications, and other computer systems and will collaborate with other team members to understand the Company needs.


Job Duties/Responsibilities

  • Maintain a high level of service and availability for systems, networks, applications and VoIP phone system.
  • Actively participate in e-commerce website implementation (JavaScript/TypeScript, React, Next-JS, CSS)
  • Assist with configuration and administration of website backend (Windows/Linux, Apache, PHP, Docker)
  • Preparing e-commerce website data (MySQL, SQL Server)
  • Assist with Epicor P21 related project development
  • Assist with SharePoint application development
  • Assist with any database technical issues during implementation
  • Assist with corporate data import/export to maintain company contract, pricing with vendors and customers
  • Provide software support to various departments

Requirements and Skills

  • Must have database skills with SQL, CSS, PHP
  • Strong interpersonal and communication skills, including the ability to lead by example and inspire staff
  • Ability to think critically and strategically and to problem solve
  • Progressive experience in software development
  • Programming skills in JavaScript
  • Strong self-learning capability and adaptability