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Computer Science Environmental Jobs in Ontario (NOW HIRING)

ON ยท Hybrid

CA$135K - CA$185K/yr

Key Qualifications * Bachelor's or Master's degree in Environmental Science, Environmental ... Compensation * Base Salary: $135,000 - $185,000 CAD * Target Bonus: 10-20% * Total Target ...

A strong foundation in computer science fundamentals, including data structures, algorithms, and ... Strong communication skills and the ability to work effectively in a team environment It would be ...

... environment. * Work closely with data engineering teams to ensure effective data architecture and ... Master's degree or PhD in Data Science, Statistics, Computer Science, or a related quantitative ...

Data Scientist

Ottawa, ON ยท On-site +1

Bachelor's degree in computer science, statistics, mathematics, or a related field, with at least 2 ... Office environment with extensive computer use Application Process * Posting Date: June 1, 2026

... Computer Science, Statistics, or a related field (Masters degree is an asset). * Proven experience building and deploying computer vision or video analytics pipelines in production environments using ...

Data Scientist

Toronto, ON ยท On-site +1

In this highly collaborative environment, you'll help turn complex data into actionable insights ... computer science focus preferred. * Machine learning, data science, AI engineering, or applied ...

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Showing results 1-20

Computer Science Environmental information

See Ontario salary details

$20K

$67K

$135.5K

How much do computer science environmental jobs pay per year?

As of Jun 21, 2026, the average yearly pay for computer science environmental in Ontario is $67,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $90,500.00 per year, depending on experience, location, and employer.

What kinds of projects do Computer Science Environmental professionals typically work on?

Professionals in Computer Science Environmental roles commonly work on projects such as developing models to predict the impacts of climate change, creating software tools for environmental data analysis, or building systems for monitoring air and water quality. You may collaborate with environmental scientists, engineers, and policy makers to design technology-based solutions that address environmental issues. These projects often involve handling large data sets, implementing algorithms, and visualizing results for diverse audiences. This dynamic role offers the opportunity to make a tangible impact on sustainability efforts by leveraging your technical expertise in real-world applications.

How is computer science related to environmental science?

Computer science environmental roles involve developing algorithms, data analysis, and modeling tools to monitor and address environmental issues such as climate change, pollution, and resource management. Skills in programming, data visualization, and environmental data analysis are essential for these positions.

What are the key skills and qualifications needed to thrive in the Computer Science Environmental position, and why are they important?

To thrive as a Computer Science Environmental professional, you should possess a solid background in computer science, data analysis, and environmental science, often supported by a relevant degree. Familiarity with programming languages (such as Python or R), geographic information systems (GIS), climate modeling software, and environmental databases is typically required. Strong problem-solving skills, attention to detail, and collaborative communication help individuals stand out in multidisciplinary teams. These skills are vital for effectively developing, analyzing, and implementing technology-driven solutions to complex environmental challenges.

What is the highest paying job in environmental science?

In environmental science, environmental managers and directors typically have the highest salaries, often earning over $100,000 annually. These roles require strong leadership, project management skills, and often advanced degrees or certifications in environmental policy or management.

Is computer science dead due to AI?

Computer science remains a vital field for roles such as software developers, data scientists, and AI specialists. AI advances create new opportunities for innovation, requiring skills in programming, algorithms, and machine learning tools, ensuring ongoing demand for computer science expertise.

What is a Computer Science Environmental job?

A Computer Science Environmental job involves applying computer science skills to solve environmental challenges, such as climate modeling, data analysis for sustainability, or developing software for environmental monitoring. Professionals in this field work with big data, machine learning, and simulation models to assess environmental impacts and optimize resource management. They may collaborate with scientists, policymakers, and engineers to develop technology-driven solutions for conservation, pollution control, and energy efficiency.

What are 5 careers in environmental science?

Environmental science offers careers such as environmental scientist, conservation scientist, environmental engineer, wildlife biologist, and environmental policy analyst. These roles often require knowledge of ecology, data analysis, and environmental regulations, and may involve fieldwork, research, or policy development.
What are popular job titles related to Computer Science Environmental jobs in Ontario? For Computer Science Environmental jobs in Ontario, the most frequently searched job titles are:
Infographic showing various Computer Science Environmental job openings in Ontario as of June 2026, with employment types broken down into 61% Full Time, 27% Part Time, 8% Temporary, 2% Contract, and 2% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $67,046 per year, or $32.2 per hour.

Full Stack Software Engineer (two vacancies)

University of Toronto

Toronto, ON โ€ข On-site

Other

Posted 10 days ago


Job description

Date Posted: 06/11/2026
Req ID: 48545
Faculty/Division: Faculty of Arts & Science
Department: Dept of Computer Science
Campus:ย St. George (Downtown Toronto)
Position Number: 59314, 59315
Existing Vacancy: Yes

Description:

About us:
The Faculty of Arts & Science is the heart of Canada's leading university and one of the most comprehensive and diverse academic divisions in the world. The strength of Arts & Science derives from our combined teaching and research excellence in the humanities, sciences and social sciences across 29 departments, seven colleges and 46 interdisciplinary centres, institutes and programs.
We can only realize our mission with the dedication and excellence of engaged staff and faculty. The diversity of opportunities and perspectives within the Faculty reflect the local and global landscape and the need for curiosity, innovative thinking and collaboration. At Arts & Science, we take pride in our legacy of innovation and discovery that has changed the way we think about the world.
Established in 1964, the Department of Computer Science is ranked among the top computer science departments in the world. Our faculty have been presented with a wide variety of honours and awards over the years, including two Turing Awards, and many other national and international honours. We provide diverse programs and research opportunities while consistently producing high-impact research that is among the most highly cited in computer science.
Your opportunity:
The Matter Lab, led by Professor Alan Aspuru-Guzik and Professor Varinia Bernales at the University of Toronto, is preparing to launch El Agente - an LLM-powered multi-agent system that makes science accessible through natural language. El Agente enables researchers, students, and industry partners to run tasks such as complex quantum chemistry workflows, and drug development by simply describing what they need in plain English, removing the steep technical barriers that have historically limited access to these powerful tools.
We are hiring a Full Stack Software Engineer to develop a cloud infrastructure for El Agente's public platform (www.elagente.ca). This is a platform engineering role: you will be responsible for making El Agente reliably available to users worldwide. You will work alongside computational chemists, ML researchers, and HPC specialists in one of the world's leading scientific AI labs.

Note: we are recruiting for two (2) vacancies. These are one-year term opportunities with possibility for renewal.ย 


Your responsibilities will include:

  • Architect, deploy, and operate the cloud infrastructure that serves El Agente to users at scale, including multi-tenant access, secure compute provisioning, and auto-scaling
  • Design and manage the interface between the cloud platform and HPC job scheduling systems (SLURM, PBS) that run quantum chemistry computations
  • Build and maintain containerized deployment pipelines (Docker, Kubernetes) for reproducible, version-controlled environments
  • Implement monitoring, logging, alerting, and incident response processes to ensure platform reliability
  • Develop and maintain the web-facing application layer - user authentication, tiered access control, usage metering, and data management
  • Build and operate data pipelines for computational results, including secure storage, retrieval, and IP protection for registered users
  • Manage CI/CD pipelines and infrastructure-as-code for consistent, repeatable deployments
  • Collaborate with researchers to integrate new agent capabilities and chemistry tools into the production environment as they are developed

Essential Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent combination of education and experience
  • Minimum five (5) years' experience in cloud infrastructure, platform engineering, or DevOps/SRE roles
  • Strong proficiency in Python and Linux systems administration
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code (Terraform, CloudFormation)
  • Working knowledge of containerization (Docker) and orchestration (Kubernetes)
  • Experience with CI/CD pipelines and production monitoring/observability tools
  • Familiarity with building or maintaining web applications (React, Vue.js, or similar)
  • Strong problem-solving skills and ability to work in a fast-paced, research-driven environment
  • Excellent communication skills, with ability to collaborate across disciplines


Assets (Nonessential):

  • Experience with HPC environments and job scheduling systems (SLURM, PBS)
  • Familiarity with computational chemistry software or scientific computing workflows
  • Experience with LLM-based application deployment and serving infrastructure
  • Knowledge of database systems (PostgreSQL, MongoDB, Redis) and scalable data architectures
  • Experience with security best practices for multi-tenant SaaS platforms
  • Familiarity with workflow management tools
  • Track record of contributing to open-source projects
  • Prior experience in multidisciplinary academic/industry teams


To be successful in this role you will be:

  • Achievement oriented
  • Cooperative
  • Meticulous
  • Resourceful

This role may be eligible for an Alternative Work Arrangement in accordance with the University of Toronto's Alternative Work Arrangements Guideline.

For internal staff, a copy of the detailed job description is available upon request from the Faculty of Arts and Science HR Office by emailing: adminhr.artsci@utoronto.ca.ย 

Closing Date: 06/22/2026, 11:59PM ET
Employee Group: USWย 
Appointment Type: Grant - Termย 
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 16 -- $103,367. with an annual step progression to a maximum of $132,188. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.ย 
Job Category: Information Technology (IT)

Lived Experience Statement
Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position.

A job description is available upon request