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Remote Software Engineer Internship Jobs in London, ON

Software Engineer II (AI Integration)

London, ON · On-site +1

CA$96K - CA$115K/yr

This role combines software engineering, data science, and machine learning expertise to develop scalable AI systems in production environments. Key Responsibilities * 3-5 years total experince

We are seeking candidates with strong software proficiency and experience in HR and payroll ... We provide innovative end-to-end CIS and ERP solutions that were engineered from the ground up to ...

Principal Highway Engineer - MTO

London, ON · On-site +1

CA$97K - CA$147K/yr

Advance knowledge of relevant software, such as AutoCAD, OpenRoads Designer, Microstation, and ... proven ability to manage remote or hybrid teams. This position is part of our Critical ...

Carry out statistical analyses and provide direction to programmers, using standard software ... Work Abroad Program - enjoy up to 4 weeks per year of remote work outside your home region We may ...

Remote Software Engineer Internship information

What is a remote software engineer internship?

A Remote Software Engineer Internship is a temporary position for students or recent graduates to gain practical experience in software development while working from a location outside the company's office, usually from home. Interns collaborate with engineering teams, contribute to real projects, and learn industry-standard tools and practices. This type of internship is ideal for individuals seeking flexibility and hands-on learning in software engineering without the need to relocate. Remote internships often include mentorship, code reviews, and opportunities to build a professional network. They are a great way to gain industry experience and improve technical skills in a real-world setting.

What are the key skills and qualifications needed to thrive as a remote software engineer intern?

To thrive as a Remote Software Engineer Intern, you need a solid understanding of programming fundamentals, familiarity with software development methodologies, and current enrollment in or recent completion of a computer science or related degree program. Experience with version control systems like Git, collaboration platforms such as GitHub or Jira, and basic knowledge of cloud services or popular frameworks is typically expected. Strong communication, self-motivation, and time management skills help interns excel in remote environments and collaborate effectively with distributed teams. These skills and qualities are crucial for delivering high-quality code, learning quickly, and contributing productively from a remote setting.

What are some common challenges faced by remote software engineer interns, and how can they overcome them?

Remote software engineer interns often face challenges such as communication barriers, staying motivated without in-person supervision, and navigating differing time zones. To overcome these, it's important to proactively schedule regular check-ins with mentors, participate actively in team chats or stand-ups, and set a consistent daily routine. Utilizing collaboration tools like Slack, GitHub, and project management platforms can help interns stay connected and aligned with their team’s goals.

What is the difference between Remote Software Engineer Internship vs Remote Software Developer?

AspectRemote Software Engineer InternshipRemote Software Developer
CredentialsTypically students or recent graduates, may require coursework in CSUsually requires a degree in CS or related field, with some experience
Work EnvironmentInternship program, often part-time or temporary, supervised by senior staffFull-time or freelance, more autonomous, ongoing projects
Industry UsageCommon in tech companies, startups, and corporate training programsWidespread across industries, including tech, finance, and healthcare

The main difference is that a Remote Software Engineer Internship is a temporary, entry-level position designed for learning and gaining experience, often for students or recent grads. In contrast, a Remote Software Developer is a more advanced, ongoing role requiring more experience and responsibility. Internships serve as a stepping stone into the industry, while developer roles are permanent or long-term positions.

What are the most commonly searched types of Remote Software Engineer jobs in London, ON?

The most popular types of Remote Software Engineer jobs in London, ON are:

What are popular job titles related to Remote Software Engineer Internship jobs in London, ON?

For Remote Software Engineer Internship jobs in London, ON, the most frequently searched job titles are:

What cities near London, ON are hiring for Remote Software Engineer Internship jobs?

Cities near London, ON with the most Remote Software Engineer Internship job openings:

Software Engineer II (AI Integration)

Td

London, ON • On-site, Remote

CA$96K - CA$115K/yr

Full-time

Posted 24 days ago


Job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$96,000 - $115,200 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Engineer II - AI

The AI Engineer is responsible for designing, building, and deploying AI/ML solutions that enhance business processes, improve decision-making, and enable automation. This role combines software engineering, data science, and machine learning expertise to develop scalable AI systems in production environments.

Key Responsibilities

  • 3-5 years total experince
  • Develop end-to-end pipelines including data preprocessing, feature engineering, validation, and deployment.
  • Fine-tune LLM-based applications using frameworks like LangChain, LangSmith, or OpenAI APIs.
  • Deploy models into production using CI/CD pipline.
  • Build scalable microservices or APIs to serve ML models in real time.
  • Implement monitoring for model drift, performance, and reliability.
  • Collaborate with data engineering teams to define data requirements.
  • Work with structured and unstructured datasets using Python, SQL, Spark, Pandas, etc.
  • Ensure data quality, governance, and security
  • Evaluate new AI frameworks, tools, and techniques.
  • Prototype solutions and run experiments to explore feasibility.
  • Stay up to date with advancements in LLMs, vector embeddings, multimodal AI, and model compression/optimization.
  • Work with product managers and business teams to translate business problems into AI solutions.
  • Partner with cloud engineers and DevOps teams for scalable deployment.
  • Communicate complex technical concepts to non-technical stakeholders.

Required Skills & Qualifications

  • Strong programming skills in Python (NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow).
  • Experience with LLMs, NLP, or deep learning.
  • Knowledge of MLOps tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes.
  • Experience with cloud platforms (AWS/GCP/Azure) and model deployment.
  • Understanding of data structures, algorithms, and software engineering best practices.
  • Problem-solving and analytical thinking.
  • Ability to design scalable, maintainable systems.
  • Strong communication and documentation skills.
  • Collaboration in agile or cross-functional team environments.

Preferred Qualifications (Nice to Have)

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
  • Experience building large-scale AI systems or enterprise-grade ML applications.
  • Experience working in regulated industries.
  • Knowledge of vector databases , RAG systems, or generative AI applications.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.


Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.


Accommodation
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet