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Best Computer Science Jobs in Brampton, ON (NOW HIRING)

Quincus

Machine Learning Engineer

Toronto, ON

"Make every logistics journey your best one yet" The Company. Founded in 2014, Quincus is a B2B ... To achieve this, we're working on projects that utilize the latest computer science techniques ...

Manulife

Data Scientist

Toronto, ON · Hybrid

... to best-practice development, and support a collaborative, knowledge-sharing culture across the data science team. Required Qualifications: * Advanced degree in Statistics, Mathematics, Computer ...

Hibernian General Insurance

Data Scientist

Toronto, ON

CA$80K - CA$120K/yr

MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD ... Familiarity with data warehouse concepts, ETL strategies and data engineering best practices. * A ...

Hibernian General Insurance

Data Scientist

Markham, ON

CA$80K - CA$120K/yr

MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD ... Familiarity with data warehouse concepts, ETL strategies and data engineering best practices. * A ...

Intact Financial

Senior Data Scientist

Toronto, ON · Hybrid

Lead and enforce data science best practices: coding, peer-review, experimentation and testing. What you bring to the table: * Master's degree in a relevant discipline (computer science, mathematics ...

The Trade Desk

Applied Scientist II

Toronto, ON · On-site

... using the best tools for the job. However, we find that the most successful candidates typically come in with something like the following experience: * BS/MS in Mathematics, Computer Science ...

DAC Group

Senior Data Scientist

Toronto, ON · On-site

Establish best practices for statistical rigor, model validation, and analytical quality across the ... Computer Science, or related quantitative field * 4-5 years of hands-on experience in applied ...

Hitachi

Safety Specialist, Senior

Toronto, ON · On-site

CA$89K - CA$115K/yr

... best practices. * Report directly to the Manager, RAMS Engineering and liaise with the Chief Safety Architect Key Requirements * B.Sc. in Electronics, Computer Science, Electrical Engineering or ...

Konrad

Software Developer (Entry Level)

Toronto, ON · Hybrid

CA$85K - CA$95K/yr

Graduated from a Computer Science, Software Engineering, or similar program in a University or ... Proactive personality and a desire to deliver your best work. Perks and Benefits * Mentorship ...

THOMSON REUTERS

Lead Applied Scientist

Toronto, ON · Hybrid

... best practices and technical vision. You will provide thought leadership internally and externally ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...

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Best Computer Science information

What are the best computer science jobs?

The best computer science jobs are roles that offer strong career growth, competitive salaries, and opportunities to work with cutting-edge technology. Popular positions include software developer, data scientist, artificial intelligence engineer, cybersecurity analyst, and systems architect. These jobs typically require a solid foundation in programming, problem-solving skills, and the ability to keep up with technological advancements. The specific 'best' job for an individual often depends on their interests and specialization within computer science.

What are some common challenges computer science professionals face when working on large-scale software projects?

Computer science professionals often encounter challenges such as coordinating with cross-functional teams, managing complex codebases, and ensuring software scalability and security in large-scale projects. Effective communication and version control become crucial as multiple developers contribute to the same codebase. Additionally, prioritizing tasks, debugging intricate issues, and meeting tight deadlines require strong organizational and problem-solving skills. Regular collaboration with project managers, designers, and QA engineers is essential to deliver robust and user-friendly software solutions.

What are the key skills and qualifications needed to thrive as a computer scientist, and why are they important?

To thrive as a Computer Scientist, you need a strong foundation in programming, algorithms, data structures, and typically a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, or C++), development tools, and version control systems like Git is important, and certifications in areas like cloud computing or cybersecurity can be beneficial. Analytical thinking, creativity, and effective problem-solving and communication skills help you stand out in this role. These skills and qualities are vital for designing innovative solutions, collaborating with diverse teams, and adapting to the rapidly evolving technology landscape.

What is the difference between Best Computer Science vs Software Developer?

AspectBest Computer ScienceSoftware Developer
Required CredentialsBachelor's or higher in Computer Science or related fieldBachelor's in Computer Science, Software Engineering, or related field
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, startups, freelance, corporate IT teams
Industry UsageAcademic, research, industry R&DProduct development, application programming, system design
Common Search/ComparisonFocuses on theoretical and foundational knowledgeFocuses on building and maintaining software applications

While Best Computer Science emphasizes theoretical foundations, research, and broad technical knowledge, Software Developers focus on designing, coding, and maintaining software applications. Both roles often require similar educational backgrounds, but their work environments and primary objectives differ.

What are the top 5 computer science careers?

Top computer science careers include software developer, data scientist, cybersecurity analyst, systems architect, and machine learning engineer. These roles typically require strong programming skills, knowledge of algorithms, and proficiency with tools like Python, Java, or cloud platforms. They often offer high demand and competitive salaries in the tech industry.

What cities near Brampton, ON are hiring for Best Computer Science jobs?

Cities near Brampton, ON with the most Best Computer Science job openings:

Best Computer Science jobs near you
Infographic showing various Best Computer Science job openings in Brampton, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Machine Learning Engineer

Quincus

Toronto, ON

Full-time

Re-posted 18 days ago

Job description

"Make every logistics journey your best one yet"

The Company.
Founded in 2014, Quincus is a B2B supply chain operating SaaS platform headquartered in Singapore. We solve today's global supply chain challenges with groundbreaking technology. Using AI and machine learning, we have digitized and optimized the logistics process while giving customers full transparency into their supply chain. 
 
Quincus was founded by two visionary entrepreneurs who possess more than a decade of experience in tech. Chief Product Officer Katherina-Olivia Lacey is leading a tech revolution in this space while empowering women in the supply chain industry. Jonathan E. Savoir, Chief Executive Officer, appeared on Forbes' 30 Under 30 Asia List in 2020, and also serves on the boards of several startups.  

Overview.
Quincus Research is building the next generation of intelligent systems for all Quincus products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Quincus Research teams collaborate closely with other teams across Quincus, maintaining the flexibility and versatility required to adapt new projects and focuses that meet the demands of the world's fast-paced business needs. 

Job Overview. 
We are looking for a highly motivated and experienced machine learning engineer to join our team and help us develop and deploy deep learning and reinforcement learning algorithms at scale. As a machine learning engineer, you will be responsible for designing and implementing scalable systems for serving models, optimizing inference performance, and managing production workflows. 

Responsibilities: 
- Design and implement scalable systems for serving deep learning and reinforcement learning models.
- Optimize inference performance of deep learning and reinforcement learning models using techniques such as quantization, pruning, and distillation.
- Utilize GPU computing to accelerate model training and inference.
- Develop and deploy production workflows for training and serving machine learning models.
- Collaborate with data scientists and software engineers to design and implement machine learning systems.
- Monitor and improve the performance of machine learning models in production.
- Stay up-to-date with the latest research and techniques in deep learning and reinforcement learning. 
 
Qualifications:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- 3+ years of experience in software engineering or machine learning engineering.
- Strong programming skills in Python (C++ or Java a plus)
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Experience with GPU programming using CUDA, OpenCL, or similar libraries.
- Experience with distributed systems and cloud computing platforms such as Kubernetes, Docker, GCP, and AWS. 

Preferred Qualifications: 
- Ph.D. in Computer Science, Electrical Engineering, or a related field.
- 5+ years of experience in software engineering or machine learning engineering.
- Experience with reinforcement learning algorithms and frameworks.
- Experience with production deployment of machine learning models and implementation of APIs for big data.
- Strong understanding of computer architecture and performance optimization.
- Strong communication and collaboration skills. 

If you are passionate about developing and deploying machine learning algorithms at scale, and want to join a dynamic team working on cutting-edge technology, we encourage you to apply for this position.
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.
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