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Machine Learning Government Jobs in British Columbia

Research Associate

Kelowna, BC · On-site +1

CA$6.4K/mo

... government, and Indigenous communities across Canada. While based at UBC Okanagan, the research ... Develop and/or adapt machine learning and deep learning approaches for fire behaviour prediction ...

New

Design and deploy machine learning models to identify anomalies, malware, and zero-day threats ... Fortinet (NASDAQ: FTNT) secures the largest enterprise, service provider, and government ...

Software Developer

Burnaby, BC · On-site

CA$79K - CA$97K/yr

Design and deploy machine learning models to identify anomalies, malware, and zero-day threats ... Fortinet (NASDAQ: FTNT) secures the largest enterprise, service provider, and government ...

... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ... Experience working in government, regulated, or security-sensitive cloud environments

AI/ML Engineer - Remote

Vancouver, BC · Remote

$200 - $350/hr

... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ... Experience working in government, regulated, or security-sensitive cloud environments

... government facilities, and retailers. Our AI-powered security solutions integrate advanced video analytics, machine learning, and embedded intelligence to enable proactive threat detection, enhanced ...

Experience developing and evaluating traditional machine learning models using techniques such as ... Fortinet (NASDAQ: FTNT) secures the largest enterprise, service provider, and government ...

Experience developing and evaluating traditional machine learning models using techniques such as ... Fortinet (NASDAQ: FTNT) secures the largest enterprise, service provider, and government ...

Practical knowledge of machine learning concepts and evaluation metrics, plus experience with at ... Fortinet (NASDAQ: FTNT) secures the largest enterprise, service provider, and government ...

Practical knowledge of machine learning concepts and evaluation metrics, plus experience with at ... Fortinet (NASDAQ: FTNT) secures the largest enterprise, service provider, and government ...

... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ... The Company participates in E-Verify and will provide the federal government with your Form I-9 ...

... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ... The Company participates in E-Verify and will provide the federal government with your Form I-9 ...

... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ... The Company participates in E-Verify and will provide the federal government with your Form I-9 ...

Experience with HVAC, building mechanical, fire protection systems and heavy machinery is required ... ADDITIONAL FUNCTIONS And RESPONSIBILITIES Continuous learning to maintain expert level knowledge in ...

Experience with HVAC, building mechanical, fire protection systems and heavy machinery is required ... ADDITIONAL FUNCTIONS And RESPONSIBILITIES Continuous learning to maintain expert level knowledge in ...

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Showing results 1-20

Machine Learning Government information

See British Columbia salary details

$22K

$114.4K

$214.5K

How much do machine learning government jobs pay per year?

As of Sep 12, 2026, the average yearly pay for machine learning government in British Columbia is $114,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $157,000.00 per year, depending on experience, location, and employer.

What is a machine learning government?

A Machine Learning Government job involves applying artificial intelligence and data science techniques to solve problems in public sector domains like healthcare, cybersecurity, law enforcement, and policy analysis. Professionals in this field work with large datasets, develop predictive models, and enhance decision-making processes for government agencies. They may also focus on ethical AI deployment, regulatory compliance, and ensuring transparency in machine learning applications. These roles often require expertise in programming, statistics, and domain-specific knowledge related to government operations.

What types of government projects do machine learning professionals typically work on?

Machine learning professionals in the government sector often work on projects related to public service optimization, fraud detection, public safety analytics, and predictive modeling for policy development. These roles may involve collaborating with cross-functional teams, including data analysts, policymakers, and IT specialists, to turn large datasets into actionable insights. Daily tasks might include cleaning and analyzing data, building predictive models, and presenting results to stakeholders with varying technical backgrounds. The work environment is usually mission-driven, with an emphasis on transparency, compliance, and impact. Over time, professionals in this field can advance into leadership or specialized research roles, contributing to innovative solutions that benefit the public.

What are the key skills and qualifications needed to thrive in the machine learning government position, and why are they important?

To excel in a Machine Learning Government role, candidates typically need expertise in data analysis, machine learning algorithms, and programming languages such as Python or R, often backed by a degree in computer science, data science, or a related field. Familiarity with government data systems, cloud platforms, and security protocols, as well as certifications like Certified Data Professional (CDP), can be valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical concepts to non-experts are highly desirable soft skills. These competencies enable professionals to effectively integrate machine learning solutions while adhering to regulatory requirements and serving public sector objectives.

What are popular job titles related to Machine Learning Government jobs in British Columbia?

For Machine Learning Government jobs in British Columbia, the most frequently searched job titles are:

What job categories do people searching Machine Learning Government jobs in British Columbia look for?

The top searched job categories for Machine Learning Government jobs in British Columbia are:

Infographic showing various Machine Learning Government job openings in British Columbia as of September 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 66% In-person, and 34% Remote job distribution, with an average salary of $114,361 per year, or $55 per hour.

Research Associate

Kelowna, BC • On-site, Remote

Ubc
5 - 10K employees

CA$6.4K/mo

Full-time

Posted 2 days ago

New


United Brotherhood Of Carpenters rating

8.6

Company rating: 8.6 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

AcademicJob CategoryFaculty Non BargainingJob TitleResearch AssociateDepartmentUBCO | Faculty | Department of Earth and Environmental Sciences | Irving K. Barber Faculty of Science (Kevin Hanna)Posting End DateOctober 9, 2026

Note: Applications will be accepted until 11:59 PM on the Posting End Date.


Job End DateNovember 30, 2028

Salary is expected at $6400.00 monthly

Research Associate
Department of Earth and Environmental Sciences
Irving K. Barber Faculty of Science
UBC Okanagan

The Fire Ecology and Remote Sensing Lab in the Department of Earth and Environmental Sciences at the University of British Columbia, Okanagan campus, is seeking a full-time Research Associate to support an active research program spanning fire behaviour modelling, fire-relevant climate modelling, and remote sensing. The intial appointment is for 2 years, subject to work performance and funding, with the possibility of extension. Working under the direction of Dr. Mathieu Bourbonnais, the successful candidate will bring expertise in fire behaviour and climate modelling, remote sensing, and machine learning to a multidisciplinary research program that spans prescribed fire operations, fire behaviour modelling, IoT sensor networks, ecological restoration, and climate downscaling, with active collaborations with fire management agencies, government, and Indigenous communities across Canada. While based at UBC Okanagan, the research associate will be required to conduct field work and meetings with collaborators throughout Canada. International travel (United States, Australia, and Europe) may also be required depending on the project. The successful candidate will contribute to scientific publications, the preparation of competitive grant applications, and the advancement of the lab's research program. The anticipated starting date is December 1, 2026 or a date to be mutually agreed upon

Responsibilities:

  • Design, implement, and manage fire behaviour and fire-weather/climate modelling analyses supporting the lab's research program.
  • Analyze and interpret remote sensing datasets (satellite, UAV, and/or LiDAR-derived) relevant to fire, fuels, and landscape-scale research questions.
  • Develop and/or adapt machine learning and deep learning approaches for fire behaviour prediction, climate downscaling, or remote sensing data analysis.
  • Develop reproducible computational workflows and data products to support lab research and agency partners.
  • Contribute to the preparation of competitive grant applications and research funding proposals.
  • Prepare figures, reports, manuscripts, and presentations for scientific publications and research meetings.
  • Provide technical expertise, mentorship, and training to graduate students and other lab personnel.
  • Collaborate with external partners and other multidisciplinary research teams.
  • Perform other related duties as required.
  • The primary focus is research; however, the individual may be provided with an opportunity to teach undergrad and graduate courses as a Sessional Lecturer and will be compensated accordingly.

Applicant must have:

  • A PhD in wildfire science, forestry, atmospheric or climate science, geography, or a related discipline.
  • Demonstrated experience with fire behaviour modelling systems (e.g., the Canadian FBP/FWI system, FARSITE, Prometheus, FlamMap, QuicFire or comparable tools).
  • Demonstrated experience with climate modelling or downscaling methods relevant to fire-weather or fire-danger prediction.
  • Demonstrated experience applying remote sensing methods (satellite, UAV, and/or LiDAR-based) to fire, forest, or landscape-scale research questions.
  • A research record, including peer-reviewed publications, commensurate with career stage.
  • Excellent written and verbal communication skills.
  • Operational wildfire experience, experience working within the Canadian wildfire management context, and advanced programming/geospatial analysis (e.g., Python, R, GIS) skills are considered an asset.

Applicants are asked to submit one bookmarked pdf file:


(1) curriculum vitae;

(2) a maximum 1-page letter of interest describing your motivations and qualifications; and

(3) names and contact information for three referees.

To comply with the Government of Canada's reporting requirements, the University gathers information about applicants' status as either a permanent resident of Canada or a Canadian citizen. Therefore, all applications must include one of the following statements in their letter of interest

I am a citizen or permanent resident of Canada; or

I am not a citizen or permanent resident of Canada.

The complete application file must be submitted in the format of one bookmarked PDF file.


All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. This English-speaking position is eligible for a comprehensive benefits package. For details, see https://hr.ubc.ca/benefits. The expected pay (or pay range) for this position is $6400.00/mth. The position is subject to budgetary approval.

Application deadline is October 8, 2026. Applications will be accepted until 11:59 PM on the Posting End Date. Inquiries about the position may be directed to Dr. Mathieu Bourbonnais at mathieu.bourbonnais@ubc.ca. Only completed applications will be considered by the search committee.

Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Metis, Inuit, or Indigenous person.


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