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Machine Learning Government Jobs in Ontario (NOW HIRING)

... government professionals work across the globe.As amember of Thomson Reuters Labs, you will ... Ability to understand, apply,integrateand deploy Machine Learning capabilities and techniques into ...

... government professionals work across the globe. As a member of Thomson Reuters Labs, you will have ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Associate, Data Scientist

Toronto, ON · On-site

CA$90K - CA$120K/yr

... government clients access to a complete range of investment and corporate banking products and ... Research and experiment with new machine learning techniques, including time series analysis, to ...

... government professionals work across the globe.As amember of Thomson Reuters Labs, you will ... Experience integrating Machine Learning and Generative AI solutions into production-grade ...

AI Engineer

Toronto, ON · On-site +1

CA$90K - CA$100K/yr

Serving clients in higher education, K-12, government, and healthcare, YuJa enables organizations ... About the Role * Design, develop, and deploy machine learning and deep learning models

Serving clients in higher education, K-12, government, and healthcare, YuJa enables organizations ... About the Role * Design, develop, and deploy machine learning and deep learning models

Required to meet qualifications to obtain a Canadian Government security clearance (typically ... Machine Learning (ML), Big Data Analytics, and Decision Support Systems (DSS). Larus has three core ...

This position may also perform work that the Canadian government has specified can only be ... Experience using AI and machine learning tools to automate daily workflows. Ability to advocate for ...

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Showing results 1-20

Machine Learning Government information

See Ontario salary details

$22K

$114.4K

$214.5K

How much do machine learning government jobs pay per year?

As of Jun 15, 2026, the average yearly pay for machine learning government in Ontario is $114,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $157,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Government position, and why are they important?

To excel in a Machine Learning Government role, candidates typically need expertise in data analysis, machine learning algorithms, and programming languages such as Python or R, often backed by a degree in computer science, data science, or a related field. Familiarity with government data systems, cloud platforms, and security protocols, as well as certifications like Certified Data Professional (CDP), can be valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical concepts to non-experts are highly desirable soft skills. These competencies enable professionals to effectively integrate machine learning solutions while adhering to regulatory requirements and serving public sector objectives.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in government agencies, tech companies, or research institutions with competitive compensation packages. Such salaries reflect the high demand for expertise in AI and the complexity of the work involved.

Which 5 jobs will survive AI?

Machine Learning Government roles that involve complex decision-making, policy development, and oversight are less susceptible to automation. Jobs requiring human judgment, ethical considerations, and interpersonal skills—such as data analysts, AI ethics specialists, cybersecurity experts, government strategists, and technical trainers—are likely to persist alongside AI advancements. Continuous learning and certification in AI tools can also enhance job security in this field.

Which 3 jobs will survive AI?

Machine Learning Government roles such as data analysts, AI ethics specialists, and cybersecurity professionals are likely to persist as AI automates routine tasks. These jobs require critical thinking, domain expertise, and ethical judgment that are difficult for AI to replicate fully. Skills in programming, data management, and regulatory knowledge will remain valuable in these fields.

Is ML a high paying job?

Machine Learning roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and organization, but they tend to be above average compared to many other roles in technology and government sectors.

What types of government projects do machine learning professionals typically work on?

Machine learning professionals in the government sector often work on projects related to public service optimization, fraud detection, public safety analytics, and predictive modeling for policy development. These roles may involve collaborating with cross-functional teams, including data analysts, policymakers, and IT specialists, to turn large datasets into actionable insights. Daily tasks might include cleaning and analyzing data, building predictive models, and presenting results to stakeholders with varying technical backgrounds. The work environment is usually mission-driven, with an emphasis on transparency, compliance, and impact. Over time, professionals in this field can advance into leadership or specialized research roles, contributing to innovative solutions that benefit the public.

What is a Machine Learning Government job?

A Machine Learning Government job involves applying artificial intelligence and data science techniques to solve problems in public sector domains like healthcare, cybersecurity, law enforcement, and policy analysis. Professionals in this field work with large datasets, develop predictive models, and enhance decision-making processes for government agencies. They may also focus on ethical AI deployment, regulatory compliance, and ensuring transparency in machine learning applications. These roles often require expertise in programming, statistics, and domain-specific knowledge related to government operations.

What are the most commonly searched types of Machine Learning Government jobs in Ontario? The most popular types of Machine Learning Government jobs in Ontario are:
What are popular job titles related to Machine Learning Government jobs in Ontario? For Machine Learning Government jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Machine Learning Government jobs in Ontario look for? The top searched job categories for Machine Learning Government jobs in Ontario are:
Infographic showing various Machine Learning Government job openings in Ontario as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,361 per year, or $55 per hour.
Research Engineer

Research Engineer

THOMSON REUTERS

Toronto, ON • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Thomson Reuters rating

8.9

Company rating: 8.9 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

17th of 428 rated business services


Job description

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.

Do you love creatinginnovative solutions for customers?Then come and apply your skills and passion for technology at Thomson Reuters Labs.

We are seeking a Research Engineerwho willbringexpertiseinAI and ML andisinterestedinbuilding data-driven capabilities that transform the way legal, accounting, and government professionals work across the globe.As amember of Thomson Reuters Labs, you will haveadirect impact on our company and develop products and features that will delight our customers.

What does Thomson Reuters Labs do?

We experiment, we build, we deliver. We obsess over our customers through applied research and development of new products and technologies. In TR Labs, we act fast and learn fast, innovating collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News.

As aResearch Engineerat Thomson Reuters Labs, you will be part of a global interdisciplinary team of experts. We hireengineers andspecialists across a variety of AI research areasto drive the company's digital transformation. The science and engineering of AI are rapidlyevolving.Weare looking for an adaptable learner who can design with the customer in mind, thinkincode and likes to learn and develop new skills as they are needed; someone comfortable with jumping into new problem spaces.

Is this you? Come join us!

About the Role

In this opportunity as aResearchEngineer, you will:

  • Develop and Deliver:Applying modern software development practices, you will be involved in the entire software development lifecycle, designing, building,testingand delivering high-quality solutions.

  • Build Scalable ML Solutions:You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You willdevelophigh performing scalablesystems in the context of large online delivery environments.

  • Be a Team Player:Working in a collaborative team-oriented environment, you will share information, value diverse ideas, and partnerwith cross-functional and remote teams.

  • Be an Agile Person: Witha strong senseof urgency and a desire to work in a fast-paced, dynamic environment, you will delivertimelysolutions.

  • Be Innovative:You are empowered to trynew approachesand learnnew technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries.

  • Be an Effective Communicator:Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.

About You

  • ABachelor of Sciencedegree, computerscienceor related field

  • At least2years software engineering experience, ideally in the context of machine learning and natural language processing

  • Experience andunderstanding ofPython software development stacksand ecosystems, ideally also experience with other programming languages and ecosystems.

  • Ability to understand, apply,integrateand deploy Machine Learning capabilities and techniques into other systems.

  • Familiarity with the Python data science stack through exposure to libraries such asNumpy,Scipy, Pandas,Dask,spaCy, NLTK, scikit-learn

  • Take pride in writing clean, reusable, maintainable and well-tested code

  • A desire to learn and embrace new and emerging technology

  • Familiarity with probabilistic models andunderstandthe mathematical concepts underlying machine learning methods

  • Proficiencyin automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform)

  • Previousexposure to Natural Language Processing (NLP) problems andhavefamiliarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.

  • Ability to understand and translate between language and methodologies used both in research and engineering fields

  • Ability to take and integrate Machine Learning solutions to production-grade software

#LI-SM2

What's in it For You?

  • Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) 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.In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.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. Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $101,600 USD - $188,700 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $88,200 USD - $163,800 USD. For Ontario, Canada, the base compensation range for this role is $80,000 CAD - $100,000 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.

Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department atHR.Leave-Expert@thomsonreuters.com. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.

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More information about Thomson Reuters can be found on thomsonreuters.com


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