ZipRecruiter

Log In

1

Research Assistant Machine Learning Jobs in Nepean, ON

DoP

CLINICAL ASSOCIATE, HEMATOLOGY/ONCOLOGY

Ottawa, ON · On-site

On a rotating basis, the Clinical Assistant Physician will provide the following types of care ... The University of Ottawa is Canada's largest bilingual institution of higher learning and research.

Venturis Capital

Dock & Door Field Technician

Ottawa, ON · On-site

CA$32 - CA$37/hr

Leavitt Machinery is one of the fastest growing material handling equipment dealerships in North ... With a focus on learning and continuous improvement, we are proud to invest in our people and offer ...

Venturis Capital

Dock & Door Field Technician

Ottawa, ON

CA$32 - CA$37/hr

Leavitt Machinery is one of the fastest growing material handling equipment dealerships in North ... With a focus on learning and continuous improvement, we are proud to invest in our people and offer ...

Venturis Capital

Dock & Door Field Technician

Ottawa, ON · On-site

CA$32 - CA$37/hr

Leavitt Machinery is one of the fastest growing material handling equipment dealerships in North ... With a focus on learning and continuous improvement, we are proud to invest in our people and offer ...

City of Ottawa

Specialist, Heritage (Part-time)

Ottawa, ON · On-site

CA$21.86 - CA$25.77/hr

... research for educational use. You assist with ongoing promotional activities; liaise with ... Thrives and fosters a continuous learning environment * Demonstrates leadership, initiative and ...

previous page

Showing results 41-60

All JobsResearch Machine Learning JobsResearch Assistant Machine Learning JobsResearch Assistant Machine Learning Jobs in Nepean, ON

Research Assistant Machine Learning information

See Nepean, ON salary details

$9

$34

$88

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

As of Sep 11, 2026, the average hourly pay for research assistant machine learning in Nepean, ON is $34.65, according to ZipRecruiter salary data. Most workers in this role earn between $16.02 and $49.75 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 Nepean, ON are hiring for Research Assistant Machine Learning jobs?

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

Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Nepean, ON as of August 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 100% In-person job distribution, with an average salary of $72,067 per year, or $34.6 per hour.

Senior LEO Satellite Operations Engineer

Ottawa, ON • On-site

Telesat
See more jobs at Telesatexternal

Full-time

Re-posted 22 days ago

Job description

Telesat (Nasdaq and TSX: TSAT) is a leading global satellite operator, providing reliable and secure satellite-delivered communications solutions worldwide to broadcast, telecommunications, corporate and government customers for over 55 years.  Backed by a legacy of engineering excellence, reliability and industry-leading customer service, Telesat has grown to be one of the largest and most successful global satellite operators.

Telesat Lightspeed, our revolutionary Low Earth Orbit (LEO) satellite network, scheduled to begin service in 2027, will revolutionize global broadband connectivity for enterprise and Government users by delivering a combination of high capacity, security, resiliency and affordability with ultra-low latency and fiber-like speeds. Telesat is headquartered in Ottawa, Canada, and has offices and facilities around the world.
The company's state-of-the-art Satellite fleet consists of 12 GEO satellites, the Canadian payload on ViaSat-1 and one LEO 3 demonstration satellite.  For more information, follow Telesat on X and LinkedIn or visit www.telesat.com


As a member of the LEO SOC Satellite Operations team, the Senior LEO Satellite Operations Engineer will provide technical support for engineering aspects related to ensuring effective in-orbit operations of all on-board subsystems on the Lightspeed satellite bus, in order to maximize subsystem health, performance and commercial availability. This includes working, in collaboration, with others within the Satellite Operations team and other Lightspeed segments to improve efficiencies, through innovation, across all facets of in-orbit fleet operations.
Responsibilities

  • Leads integration of SCS systems and development of satellite operations products;
  • Leads SOC testing, validation and verification of SatOps systems;
  • Develops of satellite operations products and implementation into the SCS systems;
  • Leads Satellite Operations Centre (SOC) concepts of operation and administrative systems development;
  • Working with Space Segment team, manages evolution of satellite operations concept of operations (CONOPS) for LEOP and routine operations phases;
  • Supports Satellite Operations Centre systems testing, validation and verification of SatOps products, SCS system deliveries and training;
  • Manages maintenance of satellite operating procedures;
  • Supports automation development for satellite operations procedures; tracks performance;
  • Provide inputs to Satellite Data Platform (SDP) design, analytics and maintenance; focusing on short and long term trending of satellite TM data;
  • Details satellite operations processes within the SOC; refining satellite control guidelines outside of the SCS;
  • Provide engineering guidance to satellite controllers during all phases of operations;
  • Provide engineering oversight and/or training on all matters pertaining to the development and use of the satellite operations products and supporting trending and analysis tools.
Education and Experience
  • Masters or Bachelor's degree in an Aerospace, Electrical, Mechanical or Computer Engineering, or the equivalent;
  • A background in Aerospace technologies and expertise in satellite operations software systems and development;
  • Minimum of 6-9 years experience in Satellite Operations Engineering;
  • Knowledge of satellite subsystem design and operation;
  • Knowledge of electronics, control systems and radio frequency communications;
  • Experience in developing software with a variety of platforms and programming tools;
  • Strong analytical, problem solving, real-time decision-making, planning and organizational skills;
  • Excellent verbal and written English communications skills;
  • Independent and self-motivated, with the ability to work effectively both individually and in a team environment
  • Knowledge of containerized software platforms is an asset;
  • Experience with Machine Learning and Data Analytics is a big asset;
  • Experience in Python programming is an asset.
At Telesat, we take pride in being an equal opportunity employer that values equality in the workplace.  We are committed to providing the best candidate experience possible including any required accommodations at every stage of our interview process.   All qualified applicants that have been selected for an interview that require accommodations, are advised to inform the Telesat Talent team accordingly.  We will work with you to meet your needs.   All accommodation information provided will be treated as confidential.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply