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Machine Learning Jobs in Ottawa, ON (NOW HIRING)

Exposure to machine learning or LLM workflows (e.g., embeddings, inference, feature engineering). * Experience with workflow orchestration tools (Airflow, Databricks Jobs, etc.). * Familiarity with ...

... in AI, machine learning, or data-driven decision systems. Experience working with optimization tools and computational methods, such as Python, MATLAB, and/or optimization libraries/solvers ...

... in AI, machine learning, or data-driven decision systems. Experience working with optimization tools and computational methods, such as Python, MATLAB, and/or optimization libraries/solvers ...

Interest and experience with Machine Learning and AI. * Experience with data ingestion into a tool such as Splunk or Elastic. * Experience with Git and/or Mercurial. * Proficient with Visual Studio ...

Learning and development opportunities. About Larus Based in Ottawa, Canada, Larus Technologies ( is a software company specializing in Artificial Intelligence (AI), Machine Learning (ML), Big Data ...

... changing machine learning capabilities. ANVIL helps organizations discover, manage, enrich, fuse, and exploit the information available to them in support of Information Dominance and Decision ...

Experience working with machine learning or AI-driven systems, including integrating or operationalizing models * Experience writing clean, testable, and maintainable code * Strong debugging and ...

CUPE-Fall 2026- TA MIA5100

Ottawa, ON · On-site

CA$31.89 - CA$50.25/hr

MACHINE LEARNING (Online) Course Code: MIA5100 Section: A Supervisor name (if known): Date Posted (YYYY/MM/DD): 2026/07/08 Applications must be received BEFORE (YYYY/MM/DD): 2026/07/22 Description of ...

Manager AI

Ottawa, ON · On-site +1

Deep technical knowledge and 3+ years of experience in deploying AI and machine learning solutions, with a focus on telecommunication applications * Business Development: Experience developing new ...

Experience validating data pipelines or machine learning systems * Familiarity with simulation, synthetic data, or scenario-based testing * Experience with chaos, fault-injection, or resilience ...

Stay ahead of emerging Azure technologies, including AI, machine learning, and intelligent automation. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We ...

CNC Machinist (Programmer)

Ottawa, ON · On-site

CA$60K - CA$100K/yr

Machine precision parts to tight tolerances across a range of materials, including aluminum alloys ... Contribute to a culture of continuous learning, craftsmanship, and honest technical discussion.

Machine precision parts to tight tolerances across a range of materials, including aluminum alloys ... Contribute to a culture of continuous learning, craftsmanship, and honest technical discussion.

Showing results 21-40

Machine Learning information

See Ottawa, ON salary details

$102.9K

$150.2K

$186.7K

How much do machine learning jobs pay per year?

As of Jul 24, 2026, the average yearly pay for machine learning in Ottawa, ON is $150,205.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,887.00 and $178,616.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-paying industries such as finance or technology, can earn salaries of $500,000 or more annually. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually demand extensive experience, a strong educational background, and sometimes leadership responsibilities in developing or deploying AI systems.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With machine learning skills, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and strong analytical skills. They are found across industries including technology, finance, healthcare, and automotive sectors.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI advances, due to their need for complex problem-solving, domain expertise, and ongoing model development. These jobs require advanced skills in programming, statistics, and understanding of AI tools, making them less susceptible to automation. Continuous learning and staying updated with new algorithms and frameworks are essential for these positions.
What are the most commonly searched types of Machine Learning jobs in Ottawa, ON? The most popular types of Machine Learning jobs in Ottawa, ON are:
What cities near Ottawa, ON are hiring for Machine Learning jobs? Cities near Ottawa, ON with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Ottawa, ON as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $150,205 per year, or $72.2 per hour.

Principal Edge AI Software Engineer

NXP Semiconductors

Kanata, ON

CA$121K - CA$165K/yr

Full-time

Posted 22 days ago


Job description

Location: Kanata, Ontario, Canada

About the Role

Join NXP's AI & Chip Engineering (ACE) organization-one of the company's flagship hubs for Edge AI innovation-based in Kanata. You'll work at the forefront of embedded AI, enabling next-generation agentic AI, generative AI, and machine learning workloads on automotive and edge platforms. Your contributions will directly power intelligent systems across automotive, robotics, and industrial applications-where real-time, reliable AI matters. This role focuses on translating advanced AI models into optimized, production-grade embedded solutions, driving performance, efficiency, and scalability on NXP silicon.

What You'll Do

  • Design, develop, and optimize high-performance Edge AI software for NXP embedded SoCs (MCU/MPU/NPU)

  • Enable deployment of machine learning and generative AI models, build and integrate AI runtimes, inference engines, and model pipelines for real-time execution

  • Drive performance optimization (latency, memory, power) through low-level system tuning

  • Collaborate across system, silicon, and AI teams to deliver end-to-end AI solutions

  • Participate in the full lifecycle: architecture implementation validation production

  • Contribute to next-gen Edge AI frameworks and platform enablement

Core Qualifications

  • Bachelor's (minimum) or Master's/PhD in Computer Science, Electrical Engineering, or related field and 10+ years of overall experience

  • 3+ years of experience in embedded software development (C/C++, Python)

  • Strong experience with Linux-based embedded systems and performance-critical applications

  • Understanding of processor architectures (ARM, SIMD/NEON, GPU/NPU acceleration)

  • Experience with AI frameworks (TensorFlow, PyTorch, ONNX Runtime, LiteRT) or custom runtimes, implementing or deploying AI/ML, DSP, or computer vision algorithms

  • Proven track record in system-level optimization (CPU, memory, I/O, vectorization)

  • Strong debugging, profiling, and analytical skills

Preferred Skills

  • Familiarity with hardware acceleration and offload (OpenCL, CUDA, DSP toolchains)

  • Experience with model optimization techniques (quantization, pruning, graph optimization)

  • Knowledge of automotive standards (ISO 26262, Automotive SPICE, AUTOSAR, MISRA)

  • Exposure to Edge AI deployment pipelines and benchmarking methodologies

What Sets You Apart

  • Passion for bringing AI to real-world embedded systems

  • Ability to operate across software, hardware, and AI domains

  • Strong ownership mindset with the ability to lead technical initiatives

  • Collaborative and proactive approach in cross-functional environments

Why Join NXP

  • Work on real-world AI systems deployed at scale across automotive and edge domains

  • Be part of a globally recognized leader in secure embedded processing

  • Access continuous learning, career growth, and cutting-edge innovation opportunities

  • Contribute to a smarter, safer, and more sustainable future

About NXP

NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets.

For more information, please visit our website https://www.nxp.com

Please note that the base salary range (OR hourly rate) is a guideline, and individual total compensation may vary based on a number of factors such as qualifications, skill level, work location, and other business and organizational needs. This base pay range is specific to roles in our Canada locations and is not applicable to other locations. A reasonable estimate of the base salary range as of the date of this posting is: $121,000 to $165,000 CAD.

Career Development Opportunities

Bright Minds. Bright Futures.

We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills.

Visit our careers website for more job information.

Commitment At NXP.

We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress. Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality. Diversity, Equality and Inclusion | NXP Semiconductors


More information about NXP in Canada...

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