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Algorithmic Jobs in Ontario (NOW HIRING)

Huawei Technologies Canada Co., Ltd.

CA$58K - CA$104K/yr

Investigate and design data structures and algorithms for distributed resource scheduling, capacity optimization, and workload placement on modern cloud hardware. * Continuously enhance data system ...

Nokia

Staff Embedded Software Engineer

Kanata, ON · On-site

Understanding of digital signal processing principles or PID control algorithms. * Knowledge of Petalinux and its build environment. * Work closely with hardware/FPGA engineers to understand HW ...

Nokia

Sr Embedded Software Engineer

Kanata, ON · On-site

Understanding of digital signal processing principles or PID control algorithms. * Knowledge of Petalinux and its build environment. * Work closely with hardware/FPGA engineers to understand HW ...

Amazon

Applied Scientist III, RBKS AI

Toronto, ON · On-site

This role offers a unique opportunity to shape next-generation home security technology while advancing the field of AI algorithms and systems. The team is focused on productizing research in ...

Cmcmarkets

Quantitative Trader

Toronto, ON · On-site

As a Quantitative Trader, you'll play a key role in managing market risk and supporting algorithmic trading on a fast-paced dealing desk. This is a dynamic position ideal for someone with front ...

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Showing results 21-40

All JobsAlgorithmic JobsAlgorithmic Jobs in Ontario

Algorithmic information

See Ontario salary details

$80K

$155.8K

$360.5K

How much do algorithmic jobs pay per year?

As of Sep 11, 2026, the average yearly pay for algorithmic in Ontario is $155,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $161,500.00 per year, depending on experience, location, and employer.

What is an algorithmic job?

Algorithmic jobs involve designing, analyzing, and implementing algorithms to solve specific problems or optimize processes. Professionals in these roles often work in fields like computer science, finance, and engineering, where they create solutions for data processing, automation, or trading systems. These jobs require strong analytical skills, proficiency in programming languages, and a solid understanding of mathematical concepts. Algorithmic roles can range from developing search algorithms for software applications to creating automated trading strategies in financial markets.

What are the key skills and qualifications needed to thrive as an algorithmic trader?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often in Python, C++, or R), and financial markets, typically supported by a degree in finance, mathematics, computer science, or a related field. Familiarity with trading platforms, statistical modeling tools, and certifications like CFA or FRM can enhance your expertise. Analytical thinking, attention to detail, and strong decision-making skills set top performers apart in this competitive field. These skills ensure the development, testing, and execution of effective trading strategies in rapidly changing market environments.

What are some common challenges faced by professionals in algorithmic roles, and how can these be addressed?

Professionals in algorithmic roles often encounter challenges such as optimizing algorithms for efficiency, managing large and complex data sets, and ensuring their solutions scale well in production environments. Collaborating closely with data engineers, software developers, and product teams is essential to address these issues. Keeping up-to-date with the latest advancements through continuous learning and code reviews, as well as leveraging peer feedback, can help overcome technical hurdles and improve algorithm performance.

What is the difference between Algorithmic vs Data Analyst?

AspectAlgorithmicData Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentTech companies, finance, research labs; focus on coding and algorithm developmentBusiness, marketing, finance; focus on data interpretation and reporting
Employer & Industry UsageUsed in software development, quantitative research, AIUsed in marketing, finance, healthcare for data-driven decisions

While both roles involve working with data, Algorithmic professionals primarily develop algorithms and coding solutions, often in technical environments. Data Analysts focus on analyzing data sets to generate insights and reports. Understanding these differences helps in choosing the right career path or job search focus.

What jobs use algorithms?

Algorithmic jobs include roles such as data scientist, software engineer, machine learning engineer, and quantitative analyst. These positions involve designing, implementing, and optimizing algorithms to solve complex problems, often requiring programming skills in languages like Python, C++, or Java, and knowledge of data structures and mathematical concepts.

What are popular job titles related to Algorithmic jobs in Ontario?

For Algorithmic jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Algorithmic jobs in Ontario look for?

The top searched job categories for Algorithmic jobs in Ontario are:

What cities in Ontario are hiring for Algorithmic jobs?

Cities in Ontario with the most Algorithmic job openings:

Algorithmic jobs near you
Infographic showing various Algorithmic job openings in Ontario as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $155,802 per year, or $74.9 per hour.

Blockchain Engineer - Protocol & Infrastructure

Toronto, ON • On-site, Remote

Inner Circle Agency Inc.
See more jobs at Inner Circle Agency Inc.external

Full-time

Re-posted 14 days ago

Job description

Blockchain Engineer - Protocol & Infrastructure

Location: Remote / Hybrid / On-site

About the Role:
We are seeking a Blockchain Engineer to design and implement the core infrastructure for next-generation blockchain networks. This role involves deep protocol development, cryptographic security, and decentralized system architecture.

Responsibilities:

  • Develop Layer 1 and Layer 2 blockchain infrastructure.

  • Improve consensus mechanisms and network scalability.

  • Implement cryptographic algorithms and security enhancements.

  • Work with cross-functional teams to drive blockchain adoption.

Requirements:

  • Proficiency in Rust, Go, or C++.

  • Deep understanding of consensus algorithms (PoS, PoW, DAGs, etc.).

  • Experience with cryptographic techniques (zero-knowledge proofs, elliptic curve cryptography).

  • Previous experience with blockchain frameworks (Substrate, Cosmos SDK, Tendermint).