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Tensorflow Jobs in Ontario (NOW HIRING)

Arcadion

HPC Specialist

Ottawa, ON · On-site

Interface with TensorFlow, PyTorch, and HPCML tools * Security & Compliance * Implement security best practices for multi-user environments * Support data governance for sensitive or regulated ...

Apertera

Generative AI Engineer

Toronto, ON · On-site

Develop efficient and scalable algorithms for training and inference of generative models, leveraging deep learning frameworks such as TensorFlow or PyTorch and optimizing performance on diverse ...

The App Labb

Sr. AI Engineer

Toronto, ON · On-site

Design scalable and resilient ML systems using frameworks such as PyTorch and TensorFlow. * Operationalize ML models using containerized environments (Docker, Kubernetes) and orchestration tools like ...

The App Labb

Sr. Machine Learning Engineer

Toronto, ON · On-site

Design scalable and resilient ML systems using frameworks such as PyTorch and TensorFlow. * Operationalize ML models using containerized environments (Docker, Kubernetes) and orchestration tools like ...

Targeted Talent

Senior Deep Learning Engineer

Toronto, ON · On-site +1

$130K - $180K/yr

Proficiency in deep learning frameworks like Tensorflow and/or PyTorch * Experience with CNNs, LSTMs/RNNs, Transformers * Strong math skills and Python proficiency * Experience with C/C++ Preferred ...

Targeted Talent

Senior Deep Learning Engineer

Toronto, ON · On-site +1

$130K - $180K/yr

Proficiency in deep learning frameworks like Tensorflow and/or PyTorch * Experience with CNNs, LSTMs/RNNs, Transformers * Strong math skills and Python proficiency * Experience with C/C++ Preferred ...

TheAppLabb

Sr. Machine Learning Engineer

Toronto, ON · On-site

Design scalable and resilient ML systems using frameworks such as PyTorch and TensorFlow. * Operationalize ML models using containerized environments (Docker, Kubernetes) and orchestration tools like ...

PwC

Senior Manager Cyber Cloud Security and AI

Ottawa, ON · On-site

CA$168K - CA$218K/yr

Familiarity with AI tools, frameworks, and programming languages (e.g., Python, R, TensorFlow,PyTorch) * Knowledge of key regulatory frameworks and standards (e.g.NIST AI Risk Management Framework ...

TheAppLabb

Sr. AI Engineer

Toronto, ON · On-site

Design scalable and resilient ML systems using frameworks such as PyTorch and TensorFlow. * Operationalize ML models using containerized environments (Docker, Kubernetes) and orchestration tools like ...

WESTFALIA TECHNOLOGIES INC

Train, optimize, and deploy machine learning models using PyTorch or TensorFlow; deploy to edge robotics hardware (e.g., NVIDIA Jetson, GPU servers, or industrial PCs) using ONNX, TensorRT, and GPU ...

KPMG

Manager, ML/AI Engineer, Data & AI

Toronto, ON · On-site

Handson experience with machine learning frameworks/libraries and platform tools (e.g., scikitlearn, TensorFlow, PyTorch, Azure ML Studio, Databricks MLFlow). * Solid understanding of ML algorithms ...

KPMG

Manager, ML/AI Engineer, Data & AI

Toronto, ON · On-site

Handson experience with machine learning frameworks/libraries and platform tools (e.g., scikitlearn, TensorFlow, PyTorch, Azure ML Studio, Databricks MLFlow). * Solid understanding of ML algorithms ...

PwC

Manager Cyber Cloud Security and AI

Ottawa, ON · Hybrid

CA$116K - CA$166K/yr

Familiarity with AI tools, frameworks, and programming languages (e.g., Python, R, TensorFlow,PyTorch) * Knowledge of key regulatory frameworks and standards (e.g.NIST AI Risk Management Framework ...

PwC

Manager Cyber Cloud Security and AI

Toronto, ON · Hybrid

CA$116K - CA$166K/yr

Familiarity with AI tools, frameworks, and programming languages (e.g., Python, R, TensorFlow,PyTorch) * Knowledge of key regulatory frameworks and standards (e.g.NIST AI Risk Management Framework ...

Pelmorex

Data Scientist - Hybrid

Oakville, ON · Hybrid

You will leverage distributed frameworks (e.g., PySpark, Dask, Ray) and modern ML stacks (Scikit-learn, PyTorch/TensorFlow, LLMs) to improve model speed, scale inference pipelines, and lower compute ...

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Tensorflow information

See Ontario salary details

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How much do tensorflow jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for tensorflow in Ontario is $63.56, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $86.78 per hour, depending on experience, location, and employer.

What is a TensorFlow?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

What does a TensorFlow developer do?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive in the TensorFlow position?

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What jobs use TensorFlow?

Jobs that use TensorFlow include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing and deploying neural network models, often requiring programming skills in Python and knowledge of machine learning frameworks. TensorFlow is widely used in industries such as technology, healthcare, finance, and automotive for tasks like image recognition, natural language processing, and predictive analytics.

What are popular job titles related to Tensorflow jobs in Ontario?

For Tensorflow jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Tensorflow jobs in Ontario look for?

The top searched job categories for Tensorflow jobs in Ontario are:

Tensorflow jobs near you
Infographic showing various Tensorflow job openings in Ontario as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $132,215 per year, or $63.6 per hour.

HPC Specialist

Arcadion

Ottawa, ON • On-site

Contractor

Posted 14 days ago

Job description

HPC Specialist – Role Overview

Arcadion is seeking an HPC (High-Performance Computing) Specialist responsible for the design, deployment, optimization, and management of high-performance computing systems, often used in scientific research, engineering simulations, AI/ML workloads, and large-scale data analytics. 


Core Responsibilities

  1. Architecture & System Design
    • Design scalable HPC clusters (on-prem, cloud, or hybrid)
    • Choose appropriate CPUs, GPUs, interconnects (e.g., InfiniBand), and storage
    • Configure Slurm, PBS, or OpenHPC job schedulers
  2. Cluster Deployment & Maintenance
    • Install and manage Linux-based compute nodes
    • Maintain job schedulers and resource managers
    • Integrate monitoring tools (Prometheus, Grafana, Nagios)
  3. Performance Tuning & Optimization
    • Benchmark workloads and tune for performance (e.g., MPI, CUDA, OpenMP)
    • Optimize I/O and inter-node communication
    • Ensure efficient job execution and queue handling
  4. Cloud & Hybrid HPC Integration
    • Deploy and manage cloud-based HPC environments (Azure CycleCloud, AWS ParallelCluster, Google Cloud HPC Toolkit)
    • Optimize workload portability and orchestration (e.g., Singularity, Kubernetes with KubeFlow or Volcano)
  5. AI/ML & GPU Workload Support
    • Manage AI pipelines that require HPC acceleration (e.g., LLM training)
    • Optimize GPU usage (NVIDIA A100/H100, AMD MI300)
    • Interface with TensorFlow, PyTorch, and HPCML tools
  6. Security & Compliance
    • Implement security best practices for multi-user environments
    • Support data governance for sensitive or regulated workloads
    • Maintain audit trails and role-based access control
  7. User & Application Support
    • Assist researchers and data scientists with job submissions and optimization
    • Develop documentation, training materials, and run code validation sessions

️ Technical Skills & Tools Category                    Technologies Schedulers Slurm, PBS, Torque, LSF HPC OS & Config RHEL/CentOS, Rocky, Ubuntu Server HPC File Systems Lustre, BeeGFS, GPFS Parallel Computing MPI, OpenMP, CUDA Monitoring/Telemetry Prometheus, Grafana, Ganglia Cloud HPC AWS HPC, Azure CycleCloud, GCP HPC Toolkit Containers Singularity, Apptainer, Docker, Kubernetes AI/ML Support PyTorch, TensorFlow, Horovod, MLFlow DevOps Tools Ansible, Terraform, Git, Jenkins
Qualifications

  • Bachelor’s or Master’s in Computer Science, Engineering, Physics, or a related technical field
  • 3–7 years of experience in HPC environments
  • Experience supporting AI/ML teams is a major asset
  • Certifications: NVIDIA DLI, AWS Certified HPC Specialist, Linux+ or RHCE