Direct experience in machine learning and orchestration, developing intricate multi-tenant machine learning products. * Strong Python programming skills is required, * SQL, and data modeling ...
Direct experience in machine learning and orchestration, developing intricate multi-tenant machine learning products. * Strong Python programming skills is required, * SQL, and data modeling ...
You will be writing code, working with messy, real-world data, and learning how machine learning ... Own a product area with real autonomy and direct impact * Work on products that operate in real ...
Quick apply
You will be writing code, working with messy, real-world data, and learning how machine learning ... Own a product area with real autonomy and direct impact * Work on products that operate in real ...
Senior Machine Learning Engineer
Toronto, ON · On-site
CA$84K - CA$128K/yr
Professional Experience A minimum of 5 years of hands-on experience in software engineering, data engineering, or DevOps, including at least 3 years of direct experience in MLOps or machine learning ...
Senior Machine Learning Engineer
Toronto, ON · On-site
CA$84K - CA$128K/yr
Professional Experience A minimum of 5 years of hands-on experience in software engineering, data engineering, or DevOps, including at least 3 years of direct experience in MLOps or machine learning ...
Senior Machine Learning Engineer
Oakville, ON · On-site
CA$84K - CA$128K/yr
Professional Experience A minimum of 5 years of hands-on experience in software engineering, data engineering, or DevOps, including at least 3 years of direct experience in MLOps or machine learning ...
Senior Machine Learning Engineer
Oakville, ON · On-site
CA$84K - CA$128K/yr
Professional Experience A minimum of 5 years of hands-on experience in software engineering, data engineering, or DevOps, including at least 3 years of direct experience in MLOps or machine learning ...
Machine Learning Engineer, Associate Director - AI Innovation Teams Fitch Ratings is seeking a Machine Learning Engineer to join our new AI Innovation teams in Toronto-a bold initiative building the ...
Machine Learning Engineer, Associate Director - AI Innovation Teams Fitch Ratings is seeking a Machine Learning Engineer to join our new AI Innovation teams in Toronto-a bold initiative building the ...
In this role, you will direct the management of multiple teams in AI Engineering, focusing on ... Deep expertise in machine learning, statistics, and data science with experience in optimization, A ...
In this role, you will direct the management of multiple teams in AI Engineering, focusing on ... Deep expertise in machine learning, statistics, and data science with experience in optimization, A ...
The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the ... Reporting to the Associate Director, AI and ML, this role is hands-on across the full AI delivery ...
The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the ... Reporting to the Associate Director, AI and ML, this role is hands-on across the full AI delivery ...
You will work directly with the Director of Engineering, and the technical decisions you make will ... About the team You'll work with a team of engineers, machine learning scientists, and product ...
You will work directly with the Director of Engineering, and the technical decisions you make will ... About the team You'll work with a team of engineers, machine learning scientists, and product ...
Our Engineering Directors are highly technical: you will need to be a domain expert in one or more areas of distributed systems, online security, and machine learning. Responsibilities include ...
Our Engineering Directors are highly technical: you will need to be a domain expert in one or more areas of distributed systems, online security, and machine learning. Responsibilities include ...
Director of Engineering
Toronto, ON · Remote
Our Engineering Directors are highly technical: you will need to be a domain expert in one or more areas of distributed systems, online security, and machine learning. Responsibilities include ...
Quick apply
Director of Engineering
Toronto, ON · Remote
Our Engineering Directors are highly technical: you will need to be a domain expert in one or more areas of distributed systems, online security, and machine learning. Responsibilities include ...
... serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical ... As a Machine Learning Engineer on the SCC team, you will fine-tune and align models and build AI ...
... serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical ... As a Machine Learning Engineer on the SCC team, you will fine-tune and align models and build AI ...
Senior Director, AI Research
Toronto, ON · On-site
Direct the development of novel machine learning algorithms and models across one or more domains: credit risk, fraud detection, market prediction, pricing & optimization, or generative/agentic AI.
Senior Director, AI Research
Toronto, ON · On-site
Direct the development of novel machine learning algorithms and models across one or more domains: credit risk, fraud detection, market prediction, pricing & optimization, or generative/agentic AI.
Director, AI Engineering
Toronto, ON · On-site
We are seeking a visionary and execution-focused Director of AI Engineering to lead the development ... Establish scalable AI platforms, frameworks, and governance practices to support machine learning ...
Director, AI Engineering
Toronto, ON · On-site
We are seeking a visionary and execution-focused Director of AI Engineering to lead the development ... Establish scalable AI platforms, frameworks, and governance practices to support machine learning ...
The Director partners with business and technology executives to define long-term roadmaps ... Own the end-to-end fraud detection technology portfolio, including rules engines, machine learning ...
The Director partners with business and technology executives to define long-term roadmaps ... Own the end-to-end fraud detection technology portfolio, including rules engines, machine learning ...
Leverage advanced analytics, AI, and machine learning to generate actionable insights and optimize digital performance. * Digital Commerce & Performance Optimization: * Measure and optimize Wireless ...
Leverage advanced analytics, AI, and machine learning to generate actionable insights and optimize digital performance. * Digital Commerce & Performance Optimization: * Measure and optimize Wireless ...
Leverage advanced analytics, AI, and machine learning to generate actionable insights and optimize digital performance. * Digital Commerce & Performance Optimization: * Measure and optimize Wireless ...
Leverage advanced analytics, AI, and machine learning to generate actionable insights and optimize digital performance. * Digital Commerce & Performance Optimization: * Measure and optimize Wireless ...
Extensive Learning & Development opportunities, including more than 15,000 learning programs via ... Data Group Director If you tick one of these boxes, then we could have the role for you! You're a ...
Extensive Learning & Development opportunities, including more than 15,000 learning programs via ... Data Group Director If you tick one of these boxes, then we could have the role for you! You're a ...
Extensive Learning & Development opportunities, including more than 15,000 learning programs via ... Data Group Director If you tick one of these boxes, then we could have the role for you! You're a ...
Extensive Learning & Development opportunities, including more than 15,000 learning programs via ... Data Group Director If you tick one of these boxes, then we could have the role for you! You're a ...
Title and Summary Director, Data Science Overview The Security Solutions Data Science team is responsible for delivering Artificial Intelligence (AI) and Machine Learning (ML) models that support ...
Title and Summary Director, Data Science Overview The Security Solutions Data Science team is responsible for delivering Artificial Intelligence (AI) and Machine Learning (ML) models that support ...
About the Role As a Creative Technical Director, you'll collaborate with cross-functional teams to ... Solid understanding of machine learning fundamentals - model architectures, training vs. inference ...
About the Role As a Creative Technical Director, you'll collaborate with cross-functional teams to ... Solid understanding of machine learning fundamentals - model architectures, training vs. inference ...
Director Machine Learning information
See Toronto, ON salary details
$23.4K - $43.9K
7% of jobs
$43.9K - $64.4K
3% of jobs
$64.4K - $84.9K
3% of jobs
$84.9K - $105.5K
4% of jobs
$105.5K - $126K
5% of jobs
$129.8K is the 25th percentile. Wages below this are outliers.
$126K - $146.5K
9% of jobs
The median wage is $165.9K / yr.
$146.5K - $167K
19% of jobs
$167K - $187.5K
16% of jobs
$200.4K is the 75th percentile. Wages above this are outliers.
$187.5K - $208K
13% of jobs
$208K - $228.6K
13% of jobs
$228.6K - $249.1K
7% of jobs
$23.4K
$160.5K
$249.1K
How much do director machine learning jobs pay per year?
What is a director machine learning?
A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.
What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?
A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.
What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?
To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.
Is a machine learning director a high paying job?
What does a director of machine learning do?
What are the most commonly searched types of Machine Learning jobs in Toronto, ON?
The most popular types of Machine Learning jobs in Toronto, ON are:
What are popular job titles related to Director Machine Learning jobs in Toronto, ON?
For Director Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Director Machine Learning jobs in Toronto, ON look for?
The top searched job categories for Director Machine Learning jobs in Toronto, ON are:

Full-time
Retirement, PTO
Posted 16 days ago
Thomson Reuters rating
8.8
Based on 21 frontline employees who took The Breakroom Quiz
42nd of 496 rated business services
Job description
Thomson Reuters is seeking a Senior Machine Learning Engineer who will create the machine learning solutions development and technical implementation including configuration and integration to ensure it meets business, product, and recommender system expectations. They will also build scalable machine learning solutions that are reliable, resilient, and secure.
About the Role:
As a Senior Machine Learning Engineer, you will:
Be part of the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business, product, and recommender system objectives.
Create machine learning solutions that are scalable, dependable, and secure.
Craft and sustain technical outputs such as design documentation and representative models.
Contribute to the establishment of machine learning best practices, technical standards, model designs, and quality control, including code reviews.
About You:
You are a potential fit for the role of Senior Machine Learning Engineer if you possess:
At least 2 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems, to enhance user efficiency, reliability, and consistency.
A profound comprehension of data processing, machine learning infrastructure, and DevOps/MLOps practices.
A minimum of 2 years of experience with cloud technologies (AWS SageMaker, AWS is preferred), including services, networking, and security principles.
Direct experience in machine learning and orchestration, developing intricate multi-tenant machine learning products.
Strong Python programming skills is required,
SQL, and data modeling expertise, with DBT considered a plus.
Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras, and other relevant ML libraries.
Experience in leading and supporting engineering teams.
Robust background in crafting data science and machine learning solutions.
A creative, resourceful, and effective problem-solving approach.
Provide expert oversight, guidance on implementation, and solutions for technical challenges.
Collaborate with an array of stakeholders, cross-functional and product teams, business units, technical specialists, and architects to grasp the project scope, requirements, solutions, data, and services.
Promote a team-focused culture that values information sharing and diverse viewpoints.
Cultivate an environment of continual enhancement, learning, innovation, and deployment.
#LI-SM2
Replacement: This position is open due to an existing vacancy to support our evolving business needs.What's in it For You?
- Hybrid Work Model: We've adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
- Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
- Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
- Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
- Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
- Making a Real-World Impact:We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role
Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. For Ontario, Canada, the base compensation range for this role is $100,000 CAD - $145,000 CAD. Base pay is positioned within the range based on several factors including an individual's knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com
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