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Senior Elearning Developer Jobs in Toronto, ON (NOW HIRING)

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Quincus

Machine Learning Engineer

Toronto, ON

Jonathan E. Savoir, Chief Executive Officer, appeared on Forbes' 30 Under 30 Asia List in 2020, and ... As a machine learning engineer, you will be responsible for designing and implementing scalable ...

DV Trading

Software Developer (Toronto)

Toronto, ON · On-site

We are seeking a highly motivated, quick-learning developer for our algorithmic software ... Work alongside senior traders and experienced software developers * Learn proprietary methodologies ...

DV Trading

Software Developer (Toronto)

Toronto, ON

We are seeking a highly motivated, quick-learning developer for our algorithmic software ... Work alongside senior traders and experienced software developers * Learn proprietary methodologies ...

TELUS

Senior Software Developer

Toronto, ON · On-site

Our team includes machine learning engineers, data engineers, developers, and technical architects ... and senior leadership * You have development experience with Python and/or JavaScript/Typescript

Themis

Machine Learning Engineer

Mississauga, ON

CA$85K - CA$135K/yr

Machine Learning Engineer About Themis Intelligence Themis Intelligence builds the Utility ... Comfortable working within Python-based ML ecosystems (e.g., PyTorch, TensorFlow, scikit-learn) and ...

Career Renew

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

Fortive

Senior Software Developer

Mississauga, ON · On-site +1

Join a team that values craftsmanship, collaboration, and continuous learning-and help shape the ... Experience with CSS layout and preprocessors (e.g., Sass or Less) * Solid understanding of RESTful ...

Sobeys

Machine Learning Engineer

Toronto, ON · On-site

$120 - $160/hr

Job Title : Machine Learning Engineer Location : Sobeys COLAB Office (Toronto Downtown) Team ... Proficiency in MLOps tools and frameworks (e.g., MLflow, Databricks, Snowflake). * Solid ...

Career Renew

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

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All JobsElearning Developer JobsSenior Elearning Developer JobsSenior Elearning Developer Jobs in Toronto, ON

Senior Elearning Developer information

What is a senior elearning developer?

Senior Elearning Developers are experienced professionals who design, develop, and implement online learning materials and courses, often using advanced technologies and instructional design principles. They lead the creation of engaging, interactive content for corporate training, educational institutions, or other organizations. In addition to technical expertise in eLearning tools and platforms, they often manage projects, mentor junior team members, and collaborate with subject matter experts to ensure learning objectives are met. Their role is crucial in delivering effective digital learning experiences that support organizational goals.

How much do senior elearning developers make?

Senior eLearning developers typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. They often possess skills in instructional design, authoring tools, and learning management systems, which can influence salary levels.

What are the key skills and qualifications needed to thrive as a senior elearning developer?

To thrive as a Senior Elearning Developer, you need expertise in instructional design, eLearning authoring tools, multimedia production, and a strong background in education or instructional technology. Mastery of tools such as Articulate Storyline, Adobe Captivate, Learning Management Systems (LMS), and experience with SCORM or xAPI standards are typically required. Strong project management, creative problem-solving, and effective communication skills set standout candidates apart. These competencies ensure the creation of engaging, effective learning experiences and the successful delivery of complex eLearning projects.

What is the difference between Senior Elearning Developer vs Instructional Designer?

AspectSenior Elearning DeveloperInstructional Designer
CredentialsBachelor's degree in Education, Instructional Design, or related field; experience with eLearning toolsBachelor's or Master's in Education, Instructional Design, or related field; certification in instructional design often preferred
Work EnvironmentDevelops and codes eLearning content, often collaborating with designers and subject matter expertsDesigns learning experiences, creates storyboards, and develops instructional strategies
Employer & Industry UsageUsed in corporate training, eLearning companies, and educational institutionsCommon in educational institutions, corporate training, and eLearning development

The main difference is that Senior Elearning Developers focus on the technical development and coding of eLearning content, while Instructional Designers concentrate on designing the learning experience and instructional strategies. Both roles often collaborate but have distinct responsibilities within the eLearning development process.

What skills do you need to be a senior elearning developer?

A senior eLearning developer needs strong skills in instructional design, multimedia development, and eLearning authoring tools such as Articulate Storyline or Adobe Captivate. They should have experience with learning management systems (LMS), programming knowledge like HTML or JavaScript, and the ability to create engaging, interactive content. Additionally, project management and communication skills are important for collaborating with stakeholders and meeting deadlines.

What are some common challenges faced by senior elearning developers when managing multiple projects simultaneously?

Senior Elearning Developers often juggle several projects at once, which can present challenges such as balancing competing deadlines, adapting to different client or stakeholder requirements, and ensuring consistent quality across deliverables. Effective time management, clear communication with cross-functional teams, and the ability to quickly adapt to changing priorities are essential in this role. Utilizing project management tools and establishing transparent workflows can help manage workloads and maintain project timelines while delivering engaging, learner-centered content.
What are popular job titles related to Senior Elearning Developer jobs in Toronto, ON? For Senior Elearning Developer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Senior Elearning Developer jobs in Toronto, ON look for? The top searched job categories for Senior Elearning Developer jobs in Toronto, ON are:
Senior Elearning Developer jobs near you

Senior Machine Learning Engineer

Career Renew

Toronto, ON • Remote

$165K - $225K/yr

Full-time

Re-posted 20 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.