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Junior Machine Learning Engineer Jobs in Ottawa, ON

Thales

Data Engineer

Ottawa, ON · Hybrid

... machine learning models, implementing software that helps with decision making - while using modern ... Undergraduate degree in software engineering, computer science or related field. * 7 years of ...

Telesat

Senior LEO Flight Dynamics Specialist

Ottawa, ON · On-site

... programming and configuration management is an asset; * Experience with Machine Learning and Data ... Provide technical guidance to senior and junior analysts. * Successful candidate must possess (or ...

Ericsson

Principal Developer

Ottawa, ON

... engineer Strong background in communications theory, digital signal processing, and COTS architecture Applied experience of using machine learning methodologies including reinforcement learning ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Ottawa, ON

Junior Machine Learning Engineer information

See Ottawa, ON salary details

$24.8K

$113.5K

$197.7K

How much do junior machine learning engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for junior machine learning engineer in Ottawa, ON is $113,512.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,212.00 and $141,940.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
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For Junior Machine Learning Engineer jobs in Ottawa, ON, the most frequently searched job titles are:

What cities near Ottawa, ON are hiring for Junior Machine Learning Engineer jobs?

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Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Ottawa, ON as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,512 per year, or $54.6 per hour.

Senior DSP Firmware Engineer

Celero Communications, Inc.

Ottawa, ON

CA$150K - CA$250K/yr

Full-time

Re-posted 13 days ago

Job description

About the Role:

We are seeking a Senior DSP Firmware Engineer to design, implement, and debug firmware supporting advanced DSP algorithms on nextgeneration silicon platforms. You will work closely with system architects, DSP designers, and verification teams to deliver highperformance firmware across presilicon and postsilicon environments.

This role is ideal for a handson engineer with strong DSP fundamentals who can accelerate development, own defined subsystems, and contribute to mentoring junior engineers.

Locations Available: Irvine, Ottawa Ontario, Argentina

Key Responsibilities:

  • Design, implement, and maintain firmware supporting advanced DSP algorithms on embedded processors, working closely with system designers on
  • Design finite state machines governing DSP acquisition and tracking control loops
  • Optimize firmware for realtime operation, latency, throughput, and resource usage to meet firmware specifications
  • Own presilicon testdriven development framework for DSP firmware
  • Hardware Abstraction Layer generation and integration with simulation, emulation platforms
  • Collaborate with verification teams to align firmware validation strategy with regression infrastructure
  • Debug complex firmware, DSP, and systemlevel issues
  • Analyze issues using firmware logs, traces, and instrumentation
  • Support regression testing teams by identifying root causes and improving test coverage
  • Enforce firmware coding standards, test coverage and best practices
  • Mentor and guide junior firmware engineers
  • Contribute to defining development workflows, and longterm maintainability

Required Qualifications

  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.
  • 3-5 years of relevant experience in embedded/firmware development
  • Strong background in Digital Signal Processing (DSP) fundamentals and algorithm implementation
  • Optimizing FFT algorithms and FFTbased resampling (preferably on SiFive processors)
  • Strong hands-on expertise in:
    • Programming: C/C++
    • Firmware development: for DSPcentric embedded systems
    • Debug and analysis tools: tracing, profiling, logging, and hardware/software debuggability
  • Ability to work crossfunctionally with systems, DSP, verification, and hardware teams
  • Strong communication skills and ability to mentor junior engineers

Preferred Qualifications

  • Experience working in coherent optical systems, silicon photonics
  • Knowledge of RISC V architecture (SiFive or similar)
  • Familiarity with:
    • FPGA and emulation platforms for pre silicon validation
    • Lab bring up tools, including JTAG debuggers, logic analyzers, and oscilloscopes
    • UVM based verification environments and SystemVerilog test methodologies

Salary Range

$150,000 - $250,000 Base Annually 
The final offer will be determined based on job-related skills, experience, qualifications, and location.

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