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Internship Machine Learning Engineer Jobs in Hamilton, ON

BDO Canada

AI Engineer

Ottawa, ON · On-site

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 ...

Ericsson

AI in RAN System Developer

Ottawa, ON

This is an opportunity to combine cutting-edge Machine Learning with carrier-grade radio technology ... Work closely with engineering teams to integrate AI solutions into existing RAN products, software ...

Spaceium

Robotic AI Engineer

Ottawa, ON · On-site

CA$75K - CA$110K/yr

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

Actalent

DSP Algorithm Engineer

Ottawa, ON

CA$50 - CA$68/hr

DSP Algorithm Engineer Join our central AI and Chip Engineering organization at the Ottawa ... Implement machine learning, computer vision, or signal processing algorithms on embedded platforms.

Pelmorex

Data Engineer, DMP

Oakville, ON · Hybrid

As a Data Engineer you will play a critical role in harnessing behavioral data collected from ... Accomplished in the use of data analysis and machine learning packages such as pandas, Jupyter, and ...

YO AI Labs

AI/ML Engineer - Remote

Ottawa, ON · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

Hatch

Process Modelling Engineer

Mississauga, ON

CA$72K - CA$105K/yr

Position Summary The Process Modelling Engineer will support the development and application of ... Understanding of digital twins, machine learning, or advanced analytics. Technical Skills * Water ...

Hatch

Process Modelling Engineer

Mississauga, ON · On-site

CA$72K - CA$105K/yr

Position Summary The Process Modelling Engineer will support the development and application of ... Understanding of digital twins, machine learning, or advanced analytics. Technical Skills * Water ...

Emterra Group

AI - Full Stack Engineer

Oakville, ON · On-site

$120K/yr

... Stack Engineer to join our IT team. In this role, you will lead the design, development, and ... Position Description AI & Machine Learning * Act as the internal SME for AI strategy, tooling ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsInternship Machine Learning Engineer JobsInternship Machine Learning Engineer Jobs in Hamilton, ON

Internship Machine Learning Engineer information

What does an internship machine learning engineer do?

An Internship Machine Learning Engineer works alongside experienced engineers to help develop, test, and deploy machine learning models. Their responsibilities may include cleaning and preparing data, writing code for model training, evaluating model performance, and contributing to research tasks. Interns often learn to use popular frameworks such as TensorFlow or PyTorch and gain hands-on experience with real-world datasets. This role is designed to help students or recent graduates apply their academic knowledge to practical problems while developing industry-relevant skills.

What types of projects and responsibilities can I expect as an internship machine learning engineer?

As an Internship Machine Learning Engineer, you will typically support the development, testing, and deployment of machine learning models under the guidance of senior engineers. Your responsibilities may include data preprocessing, exploratory data analysis, implementing algorithms, and evaluating model performance. You'll often collaborate closely with data scientists, software engineers, and product managers, gaining exposure to real-world workflows and tools. This hands-on experience is invaluable for building technical skills and understanding how machine learning solutions are integrated into larger products.

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

To excel as an Internship Machine Learning Engineer, you typically need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, often supported by coursework or relevant project experience. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is common, along with proficiency in data processing libraries. Curiosity, strong problem-solving abilities, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can contribute meaningfully to projects, adapt to new challenges, and collaborate productively in a rapidly evolving technical environment.

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

AspectInternship Machine Learning EngineerData Scientist Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, data analysis, programming
Work EnvironmentDeveloping ML models, coding, testingData analysis, visualization, reporting
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, consulting

Internship Machine Learning Engineers focus on developing and testing machine learning models, often requiring programming and basic ML knowledge. Data Scientist Interns analyze data, create visualizations, and generate insights. Both roles are common in tech and data-driven industries, but ML Engineer internships emphasize model deployment, while Data Science internships focus on data analysis and reporting.

What are the most commonly searched types of Machine Learning Engineer jobs in Hamilton, ON?

The most popular types of Machine Learning Engineer jobs in Hamilton, ON are:

What cities near Hamilton, ON are hiring for Internship Machine Learning Engineer jobs?

Cities near Hamilton, ON with the most Internship Machine Learning Engineer job openings:

Internship Machine Learning Engineer jobs near you

AI Engineer

BDO Canada

Ottawa, ON • On-site

CA$77K - CA$117K/yr

Full-time

PTO

Re-posted 21 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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