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Deep Learning Engineer Jobs in Ontario (NOW HIRING)

Strong foundation in machine learning, including classical ML, such as scikit-learn, and deep learning, such as PyTorch or TensorFlow, with experience in feature engineering, model evaluation, and ...

Founded by a team with deep retail and retail-technology experience, Thri5 is venture-backed by some of Canada's most prominent VC and angel investors. Your Role As an AI / Machine Learning Engineer ...

PhD or Master's degree in Computer Science, Statistics, Mathematics, Engineering or a related field * Strong background in machine learning and deep learning * 2+ years of research experience with ...

Sr. GenAI Engineer

Toronto, ON ยท Hybrid

CA$130K - CA$145K/yr

Our challenge Client Capital Markets is seeking a highly skilled AI Engineer with deep expertise in Generative AI, neural networks, and transfer learning to support the development of an innovative ...

Machine Learning Engineer - Enterprise

Toronto, ON ยท On-site

CA$150K - CA$400K/yr

We are seeking a skilled, detail-oriented, and passionate Machine Learning Engineer to join our ... You will immerse yourself in challenging problems that demand a deep understanding of model ...

Showing results 21-40

Deep Learning Engineer information

See Ontario salary details

$90.5K

$169.3K

$228K

How much do deep learning engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for deep learning engineer in Ontario is $169,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,500.00 and $188,000.00 per year, depending on experience, location, and employer.

What is a deep learning engineer?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What skills and qualifications does a deep learning engineer need?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

What does a deep learning engineer do?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What are popular job titles related to Deep Learning Engineer jobs in Ontario? For Deep Learning Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Deep Learning Engineer jobs in Ontario look for? The top searched job categories for Deep Learning Engineer jobs in Ontario are:
Infographic showing various Deep Learning Engineer job openings in Ontario as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $169,298 per year, or $81.4 per hour.

Lead Machine Learning Engineer

Referrals Only

Toronto, ON โ€ข On-site

Full-time

Posted 16 days ago


Job description

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organizational goals.

As a lead machine learning engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a program inception to build a new system and/or application. Alongside hands-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes for the broader objectives of the company.

Job responsibilities
  • You will embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals.
  • You will play a pivotal role in program inception, shaping the development of new systems and applications from idea to reality, overseeing technical feasibility and resource allocation.
  • You will leverage your deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency.
  • You will translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects.
  • You will own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation.
  • As a key influencer, you will champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement.
  • You will navigate intricate technical challenges with proficiency, employing your specialized knowledge to troubleshoot issues and guide the team towards successful resolutions.
  • You will stay at the forefront of the evolving field of machine learning, actively seeking out and implementing new technologies and advancements to ensure Thoughtworks remains a leader in innovation.
  • You will foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing.
  • You will measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organization.
Job qualifications
Technical Skills
  • You have experience in developing a technical vision and strategy, keeping it relevant and aligned to the business needs.
  • You can design and execute cross-functional requirements based on business priorities.
  • You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code using Python.
  • You have experience with distributed systems and scalable architectures to handle large-scale ML applications.
  • You have experience with building, deploying and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch.
  • You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML.
  • You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles.
  • You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
  • You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP and/or Databricks and associated ML managed services.
Professional Skills
  • You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
  • You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
  • You don't shy away from risks or conflicts, instead you take them on and skillfully manage them.
  • You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
  • You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
  • You are a proven leader with a track record of encouraging teammates in their professional development and relationships.
  • Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.
Other things to know
Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

Responsible Use of AI in Recruitment

At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.
Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.
We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.

Accommodations

Thoughtworks is committed to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs, practices, or observances, in accordance with applicable law.
If you need a reasonable accommodation to complete any part of the application process, participate in interviews, or otherwise engage in the hiring process, you may request an accommodation by completing this form or speaking with your recruiter. Requests may be made at any stage of the application or interview process.
Once a request is received, Thoughtworks will engage in an interactive process with the applicant to determine an appropriate accommodation. Applicants are not required to disclose medical diagnoses or detailed personal information in order to request an accommodation. All accommodation requests will be handled in a timely, confidential, and respectful manner, consistent with applicable legal requirements.
Requesting an accommodation will not negatively affect your consideration for employment. Company prohibits retaliation against any applicant for requesting an accommodation or participating in the accommodation process. Accommodations made during the recruitment process are not a guarantee of future or continued accommodations once hired. If you are hired by Thoughtworks, and require an accommodation to perform the essential functions of your role, you may be asked to engage in our reasonable accommodation process.

Cancellations

As a technology consultancy, the projects we undertake are subject to change based on client needs and agreements. While we strive for consistency, please be aware that project scope or availability may shift, or projects may even be cancelled, during the recruitment and selection process, which is often outside of our direct control. Should the project related to this vacancy be significantly altered or cancelled, all impacted candidates will be promptly and duly informed of the change

About Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we're pushing boundaries through our purposeful and impactful work. For 30+ years, we've delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let's be extraordinary.

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