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Remote Machine Learning Engineer Jobs in Toronto, ON

DataVisor

Delivery Engineer - Canada

Toronto, ON · Remote

CA$80K - CA$120K/yr

Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... Position Overview: We are seeking a Delivery Engineer to join our Delivery team. The ideal ...

YuJa

AI Engineer

Toronto, ON · On-site +1

CA$90K - CA$100K/yr

Design, develop, and deploy machine learning and deep learning models * Collaborate with product, design, and engineering to integrate AI models into customer-facing applications * Conduct ...

YuJa

AI Engineer

Toronto, ON · On-site +1

CA$90K - CA$100K/yr

Design, develop, and deploy machine learning and deep learning models * Collaborate with product, design, and engineering to integrate AI models into customer-facing applications * Conduct ...

Fusemachines

Lead Data Scientist

Toronto, ON · Remote

$110K - $140K/yr

... Scientist or Machine learning. * Strong programming skills in languages such as Python * Hands-on experience with ML frameworks, such as PyTorch, or Tensorflow * Experience with cloud compute ...

Scotiabank

Solution Engineer

Scarborough, ON · On-site +1

We are seeking a highly skilled Solution Engineer to join our team and contribute with the design ... Machine Learning: Knowledge of machine learning techniques to analyze customer data and improve ...

New

Waabi

Research Engineer, Neural Rendering

Toronto, ON · On-site +1

CA$134K - CA$235K/yr

You are familiar with the internals of modern machine learning (diffusion models, vision ... engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well ...

Tiger Analytics Inc.

Data Engineer

Toronto, ON · Remote

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

Databricks

Solutions Architect

Toronto, ON · On-site +1

P-225 While candidates in the listed locations are encouraged for this role, we are open to remote ... engineering pipelines, and data science/machine learning projects; prove out the Databricks ...

Thundersoft

Embedded Software Test Engineer

Toronto, ON · Remote

CA$70K - CA$110K/yr

Machine Learning Test Developer Location: Markham ON Key Responsibilities * Test development for Computer Vision / Machine Learning (CVML) applications for the Edge * Work with Developers in ...

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Toronto, ON

Remote Machine Learning Engineer information

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are the most commonly searched types of Machine Learning Engineer jobs in Toronto, ON? The most popular types of Machine Learning Engineer jobs in Toronto, ON are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Toronto, ON? For Remote Machine Learning Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Toronto, ON look for? The top searched job categories for Remote Machine Learning Engineer jobs in Toronto, ON are:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Toronto, ON as of July 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Data Scientist

Data Scientist

Ontario Teachers' Pension Plan

Toronto, ON • On-site, Remote

Full-time

Retirement

Posted 8 days ago

Job description

The opportunity

We are seeking a talented and driven Data Scientist to join our team. The successful candidate will work with Private Markets Teams to build solid data and analytics foundation: derive insights from data, interpretdata, and develop statistical models as needed and contribute to overall data science capabilities.

This role reports to the director of private investments technology and works with the private markets business group and the AI COE to identify, design, implement and maintain AI solutions, machine learning algorithms, statistical model development and related technologies.

The Data Scientist also participates in data science practices and capability development at OTPP. If you are passionate about solving challenging problems and thrive in a fast-paced, high-stakes environment, we want to hear from you.

Who you'll work with

You'll work closely with the Data & Analytics team, collaborating with data scientists, engineers, and business stakeholders to develop and deliver analytics and AI-driven solutions. In this highly collaborative environment, you'll help turn complex data into actionable insights, support machine learning initiatives, and contribute to enhancing the organization's data science capabilities.

What you'll do

  • Actively participate in the end-to-end machine learning and AI development lifecycle, from experimentation and prototyping to deployment, monitoring, and continuous improvement

  • Design, build, and evaluate AI-enabled solutions using large language models, generative AI, retrieval-augmented generation, embeddings, vector search, prompt engineering, and model orchestration frameworks

  • Implement best practices in LLM-based engineering, including RAG frameworks, evaluation approaches, guardrails, monitoring, and continuous improvement

  • Develop and apply machine learning, statistical modelling, and mathematical optimization techniques to support predictive decision-making, scenario analysis, resource allocation, portfolio construction, and other complex business problems

  • Translate business objectives, constraints, and trade-offs into analytical, AI/ML, or optimization-based solution approaches

  • Champion strong coding standards, including documentation, version control, testing, reproducibility, and code review practices

  • Contribute to building and promoting best practices across the team by sharing knowledge, reusable patterns, and lessons learned

  • Stay up to date with emerging technologies, industry trends, and advancements in AI, machine learning, optimization, and data science

  • Explore and experiment with new techniques, tools, models, and data sources, providing thoughtful recommendations to the business

  • Collaborate with team members on research, analysis, experimentation, and idea generation, while progressively developing independent insights

  • Build strong partnerships with business stakeholders, particularly within Private Markets, to drive impactful data-driven, AI-enabled, and optimization-based solutions

  • Support the delivery of key reports, analytics, models, visualizations, prototypes, and decision-support tools aligned with business priorities.

  • Continuously identify opportunities to enhance AI/ML and optimization approaches, leveraging new techniques, emerging tools, and alternative data sources

What you'll need

  • Bachelor's degree in a quantitative discipline.

  • Master's or Ph.D. degree in a quantitative discipline with a data science, statistical modelling, machine learning, AI, optimization, or computer science focus preferred.

  • Machine learning, data science, AI engineering, or applied analytics experience in industry or an academic setting.

  • Experience in mathematical and statistical model development to support predictive decision-making

  • Experience or strong familiarity with large language models, generative AI, retrieval-augmented generation, embeddings, vector databases, prompt engineering, and LLM evaluation

  • Experience or strong familiarity with mathematical optimization techniques, such as linear programming, mixed-integer programming, nonlinear optimization, stochastic optimization, simulation-based optimization, or heuristic methods is a huge asset

  • Experience formulating business problems as analytical, machine learning, AI, or optimization problems, including defining objectives, constraints, trade-offs, and success measures

  • Proficient programming skills in Python, R, Spark, or other open-source programming languages and related libraries

  • Experience with relevant data science, machine learning, AI, or optimization libraries and tools, such as scikit-learn, PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, OR-Tools, Pyomo, Gurobi, CPLEX, CVXPY, SciPy, or similar

  • Proficient SQL skills in mining complex and multi-sourced data environments

  • Experience in both on-premise and cloud computing environments

  • Experience analyzing large sets of data for patterns and correlations using visualization tools

  • Proficient with Git workflow

  • Good coding habits, including documentation, version control, testing, reproducibility, and code review

  • Passionate about applying analytics, AI, machine learning, and optimization in the investment area

  • Ability to quickly learn and adopt new technologies, tools, and approaches

  • Ability to independently research potential solutions from industry, open-source, vendor, and academic resources

  • Ability to articulate thoughts and ideas to effectively collaborate with business, data, and technology partners

  • Strong problem-solving skills working in a team-based environment

  • Previous experience in investments, capital markets, private equity, or private markets is an asset.

#LI-OTPP, #LI-AP1

What we're offering

Pay-for-performance with base salary and annual incentive based on individual and enterprise performance. The Base Salary range for this level is as follows: $105,000 - $155,000. Individual compensation and placement of this role in the range is based on different factors unique to each candidate, including but not limited to relevant experience, skills, demonstrated competencies, and internal equity as they relate to the role.

  • Numerous opportunities for professional growth and development

  • Comprehensive employer paid benefits coverage

  • Retirement income through a defined benefit pension plan

  • The opportunity to invest back into the fund through our Deferred Incentive Program

  • A flexible work environment combining in office collaboration and remote working

  • Competitive time off

  • Our Flexible Travel Program gives you the option to work abroad in another region/country for up to a month each year

  • Employee discount programs including Edvantage and Perkopolis

At Ontario Teachers', diversity is one of our core strengths. We take pride in ensuring that the people we hire and the culture we create, reflect and embrace diversity of thought, background and experience. Through our Diversity, Equity and Inclusion strategy and our Employee Resource Groups (ERGs), we celebrate diversity and foster inclusion through events for colleagues to connect for professional development, networking & mentoring. We are building an inclusive and equitable workplace where our talent is respected, accepted and empowered to be themselves. To learn more about our commitment to Diversity, Equity and Inclusion, check out Life at Teachers'.

How to apply

Are you ready to pursue new challenges and take your career to the next level? Apply today! You may be invited to complete a pre-recorded digital interview as part of your application.

Accommodations are available upon request (peopleandculture@otpp.com) for candidates with a disability taking part in the recruitment process and once hired.

Candidates must be legally entitled to work in the country where this role is located.

Ontario Teachers' may use AI-based tools to assist in screening and assessing applicants for this position. These tools may help us identify candidates whose skills and experience align with Ontario Teachers' objectives by analyzing information provided in resumes and applications. Our use of AI does not replace human decision-making.

To learn more about how Teachers' uses AI with your personal information, please visit our Privacy Centre.

Functional Areas:

Information Technology

Vacancy:

Current

Requisition ID:

7041#LI-AP1

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