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Remote Mep Engineer Jobs in Ontario (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 ...

Generac

Staff Analytics Engineer

Toronto, ON · On-site +1

... and remote ecopeeps in the US. We get to work with some of North America and UK's leading ... The Staff Analytics Engineer is a deeply technical individual contributor who owns the ...

Consor

Senior Noise and Vibration Engineer

Toronto, ON · On-site +1

CA$150 - CA$180/hr

... hybrid and remote work options for some employees based on role responsibilities. * Wellness - Medical, dental and vision insurance, employee assistance program, and a fitness and wellness ...

Consor

Senior Noise and Vibration Engineer

Toronto, ON · On-site +1

CA$150 - CA$180/hr

... hybrid and remote work options for some employees based on role responsibilities. * Wellness - Medical, dental and vision insurance, employee assistance program, and a fitness and wellness ...

Consor

Senior Noise and Vibration Engineer

Toronto, ON · On-site +1

CA$150 - CA$180/hr

... hybrid and remote work options for some employees based on role responsibilities. * Wellness - Medical, dental and vision insurance, employee assistance program, and a fitness and wellness ...

Uptalent.io

O-Calc or SPIDACalc Engineer

Toronto, ON · On-site +1

As an O-Calc or SPIDACalc Engineer, you will be responsible for providing accurate engineering calculations and designs to our clients worldwide. Our company is dedicated to matching global top-tier ...

Tetra Tech

Senior P&C Engineer

Mississauga, ON · On-site +1

Tetra Tech is adding a Senior Electrical Engineer (Protection and Controls) to our Power team. This role can be performed anywhere in the US or Canada. Why Tetra Tech: At Tetra Tech, we are Leading ...

CBCL

Buildings Electrical Engineer

Ottawa, ON · On-site +1

As a Buildings Electrical Engineer, you will play a crucial role in the design, development, and implementation of electrical systems for various building projects. You will work closely with a ...

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All JobsMep Engineer JobsRemote Mep Engineer JobsRemote Mep Engineer Jobs in Ontario

Remote Mep Engineer information

What is a remote MEP engineer?

A Remote MEP Engineer is responsible for designing, analyzing, and overseeing the mechanical, electrical, and plumbing (MEP) systems of buildings while working from a remote location. They use software like AutoCAD, Revit, and BIM tools to collaborate with teams and manage projects virtually. This role requires strong technical expertise and communication skills to coordinate with architects, contractors, and other engineers remotely.

What are the typical daily responsibilities of a remote MEP engineer?

As a Remote MEP Engineer, your daily responsibilities often include creating and reviewing mechanical, electrical, and plumbing system designs, coordinating with architects and construction teams, and ensuring compliance with relevant codes and standards. You will frequently use digital tools like BIM software to draft, revise, and share project documents, and participate in video meetings to address project issues. Effective communication with both internal and external stakeholders is key, as is managing project timelines and deliverables from a remote work environment. This structure allows for flexibility but also requires self-discipline and strong organization to succeed.

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

To thrive as a Remote MEP Engineer, you need a solid background in mechanical, electrical, and plumbing engineering, typically with a relevant engineering degree and professional licensure (such as PE or EIT). Proficiency with design and collaboration tools like AutoCAD, Revit, and BIM platforms, as well as knowledge of industry codes and standards, is essential. Strong communication, problem-solving, and self-motivation are key soft skills for excelling in remote, multidisciplinary environments. These capabilities ensure efficient project delivery, quality design solutions, and productive collaboration across distributed teams.

What are popular job titles related to Remote Mep Engineer jobs in Ontario?

For Remote Mep Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Remote Mep Engineer jobs in Ontario look for?

The top searched job categories for Remote Mep Engineer jobs in Ontario are:

What cities in Ontario are hiring for Remote Mep Engineer jobs?

Cities in Ontario with the most Remote Mep Engineer job openings:

Remote Mep Engineer jobs near you
Infographic showing various Remote Mep Engineer job openings in Ontario as of August 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 100% Remote job distribution.

Senior Machine Learning Engineer

Toronto, ON • Remote

Career Renew
See more jobs at Career Renewexternal

$165K - $225K/yr

Full-time

Re-posted 2 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.