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Machine Learning Engineer Associate Jobs in Ottawa, ON

BDO Canada

AI Engineer

Ottawa, ON

CA$77K - CA$117K/yr

Your Opportunity As an experienced AI Engineer , you will design, build, and deploy productiongrade AI solutions that bridge experimental machine learning with scalable software engineering. In this ...

NavitasPartners

MLOps Engineer (BFSI) - MLEAS

Ottawa, ON · On-site

$30/hr

The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models. Key Responsibilities: * Build ML deployment ...

NavitasPartners

MLOps Engineer (BFSI) - MLEAS

Ottawa, ON · On-site

CA$30/hr

The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models. Key Responsibilities: * Build ML deployment ...

Spaceium

AI Engineer

Ottawa, ON

CA$75K - CA$110K/yr

You will work at the intersection of machine learning and space systems, building AI capabilities ... Strong programming skills in Python * Experience with machine learning frameworks (PyTorch ...

TELUS

Staff Applied AI/ML Scientist

Ottawa, ON

Expertise in machine learning frameworks such as TensorFlow, Pytorch, and Keras * Strong understanding of software and AI development lifecycles, with experience in DevOps and MLOps practices

Miratech

Google DialogFlow Engineer (Python)

Ottawa, ON · On-site +1

Leverage natural language processing (NLP), LLM, and machine learning (ML) techniques, including ... Experience with programming languages such as JavaScript, Python, or Node.js. * Familiarity with ...

Kinaxis Inc.

Intern Associate Software Developer

Kanata, ON · Hybrid

CA$27.04 - CA$39.66/hr

Experience in data science and Machine Learning * A love of data and algorithms, and the desire to apply them in the real world * Programming and scripting techniques/languages experience (C++, C# ...

Kinaxis Inc.

Intern Associate Software Developer

Kanata, ON · Hybrid

CA$27.04 - CA$39.66/hr

Experience in data science and Machine Learning * A love of data and algorithms, and the desire to apply them in the real world * Programming and scripting techniques/languages experience (C++, C# ...

Larus Technologies

Software Engineer

Ottawa, ON · On-site

Our Software Engineering team is currently developing end-to-end real-time solutions for the public ... Machine Learning (ML), Big Data Analytics, and Decision Support Systems (DSS). Larus has three core ...

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Showing results 1-20

All JobsMachine Learning Engineer Associate JobsMachine Learning Engineer Associate Jobs in Ottawa, ON

Machine Learning Engineer Associate information

See Ottawa, ON salary details

$21.9K

$119.6K

$205.3K

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

As of Jun 15, 2026, the average yearly pay for machine learning engineer associate in Ottawa, ON is $119,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,209.00 and $156,706.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Ottawa, ON? The most popular types of Machine Learning Engineer jobs in Ottawa, ON are:
Machine Learning Engineer Associate jobs near you

AI Engineer

BDO Canada

Ottawa, ON

CA$77K - CA$117K/yr

Full-time

PTO

Posted 2 days ago

Job description

Putting people first, every day

BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust. In turn, we offer an award-winning environment that fosters apeople-first culturewith a high priority on your personal and professional growth.

Your Opportunity

As an experienced AI Engineer, you will design, build, and deploy productiongrade AI solutions that bridge experimental machine learning with scalable software engineering. In this replacement role, you will play a critical role in enabling enterpriseready AI capabilities with a strong focus on large language models (LLMs), retrievalaugmented generation (RAG), and agentic workflows, operating within established governance frameworks.
Responsibilities:
  • Design, build, and deploy robust, scalable, productiongrade AI applications using frameworks such as LangChain, LlamaIndex, AutoGPT, and related LLM orchestration tools.
  • Develop, refine, and optimize complex prompt strategies; manage model context windows; and finetune models where required to maximize performance, accuracy, and cost efficiency.
  • Integrate AI capabilities into existing enterprise environments through RESTful APIs, microservices, and cloudnative architectures.
  • Build, maintain, and optimize vector databases (e.g., Pinecone, Milvus, Weaviate) and design efficient data ingestion and embedding pipelines to support retrievalaugmented generation (RAG) solutions.
  • Monitor AI systems in production and proactively address issues related to hallucinations, latency, reliability, scalability, and tokencost optimization.
  • Collaborate closely with AI Architects, AI Studio Leads, ML Engineers, Data Scientists, FullStack Developers, Service Line Labs, and Citizen Developers on firmwide initiatives and internal platforms.
  • Support AI system documentation, lifecycle management, and control processes in alignment with ISO/IEC 42001 enterprise governance requirements.
  • Adhere to established AI risk management, data governance, and security policies, and assist with model inventories, traceability, and changemanagement activities.
  • Participate in model testing and validation activities in accordance with the NIST AI Risk Management Framework, including mapping and measuring model risks.
  • Support the implementation of riskmitigation controls and ongoing monitoring, and follow governance processes that promote transparency, accountability, and responsible AI use.

The expected range of compensation for this role is $77,000 to $117,000 annually.

How do we define success for your role?

  • You demonstrate BDO's core values through all aspect of your work: Integrity, Respect and Collaboration

  • You understand your client's industry, challenges, and opportunities; clients describe you as positive, professional, and delivering high quality work

  • You identify, recommend, and are focused on effective service delivery to your clients

  • You share in an inclusive and engaging work environment that develops, retains & attracts talent

  • You actively participate in the adoption of digital tools and strategies to drive an innovative workplace

  • You grow your expertise through learning and professional development.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with 3-5 years of professional experience in AI, machine learning, or applied software engineering.
  • Expertlevel proficiency in Python, with working familiarity in Java and/or TypeScript for enterprise application development.
  • Deep handson experience with leading AI and LLM frameworks, including OpenAI APIs, Anthropic, Hugging Face, and LangGraph, along with a strong understanding of LLMbased application design.
  • Proven experience designing and implementing retrievalaugmented generation (RAG) and agentic AI systems, supported by a solid grasp of scalable, productiongrade AI architectures.
  • Experience working with vector databases as well as SQL and NoSQL data stores, and handson exposure to cloud platforms such as Azure AI / AI Foundry, AWS Bedrock, or Google Cloud Platform (GCP).
  • Practical experience with DevOps and MLOps practices, including Docker, Kubernetes, and CI/CD pipelines for machine learning workloads.
  • Familiarity with machine learning lifecycle and experimenttracking tools such as MLflow or Weights & Biases.


Why BDO?
Our people-first approach to talent has earned us a spot among Canada's Top 100 Employers for 2026. This recognition is a milestone we're thrilled to add to our collection of awards for both experienced and student talent experiences.

Our firm is committed to providing an environment where you can be successful in the following ways:

  • We enable you to engage with how we change and evolve, being a key contributor to the success and growth of BDO in Canada.

  • We help you become a better professional within our services, industries, and markets with extensive opportunities for learning and development.

  • We support your achievement of personal goals outside of the office and making an impact on your community.

Giving back adds up: Where company meets community. BDO is actively involved in our communities by supporting local charity initiatives. We support staff with local and national events where you will be given the opportunity to contribute to your community.


Total rewards that matter: We pay for performance with competitive total cash compensation that recognizes and rewards your contribution. We provide flexible benefits from day one, and a market leading personal time off policy. We are committed to supporting your overall wellness beyond working hours and provide reimbursement for wellness initiatives that fit your lifestyle.


Everyone counts: We believe every employee should have the opportunity to participate and succeed. Through leadership by our Diversity, Equity and Inclusion Leader, we are committed to a workplace culture of respect, inclusion, and diversity. We recognize and celebrate the valuable differences among each of us, including race, religious beliefs, physical or mental disabilities, age, place of origin, marital status, family status, gender or gender identity and sexual orientation. If you require accommodation to complete the application process, please contact us.

Flexibility: All BDO personnel are expected to spend some of their time working in the office, at the client site, and virtually unless accommodations or alternative work arrangements are in place.

Our model is a blended approach designed to support the flexible needs of our people, the firm and our clients. It's about creating work experiences that meet everyone's needs and providing flexibility to adjust when, where and how we work to meet the expectations of our role.

Code of Conduct: Our Code of Conduct sets clear standards for how we conduct business. It reflects our shared values and commitments and includes guiding principles to help us make ethical decisions and maintain trust with each other, our clients, and the public.

BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment process. While these tools assist our teams, our use of AI does not replace human decision making, and all employment-related outcomes are made by BDO personnel.

More information on BDO Canada's Privacy Policy can be found here: Privacy Policy | BDO Canada

Ready to make your mark at BDO? Click "Apply now" to send your up-to-date resume to one of our Talent Acquisition Specialists.

To explore other opportunities at BDO, check out ourcareers page.

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