Senior Machine Learning Engineer

Thomson Reuters; Toronto; Hybrid; CAD 100,000 - 145,000; Full time

Benefits offered by this job

Hybrid work model

Flexible policies

Career development

Mental health days

Job summary

Thomson Reuters in Ontario, Canada, seeks a Senior Machine Learning Engineer to drive scalable ML solutions, including configuration and integration to meet product and recommender system objectives. You will craft and sustain technical outputs such as design documents and representative models.

You will lead and support engineering teams, apply ML best practices, and collaborate across product, data science, and technology partners to deliver impactful, secure, and reliable systems in a hybrid

Qualifications

• Experience building scalable ML solutions for recommender systems.
• Strong ability to lead and support engineering teams.
• Proficiency in Python, SQL, and ML tooling; cloud-based ML platforms.

Responsibilities

• Develop and implement ML solutions, including configuration and integration for business/product goals.
• Create scalable, dependable, and secure ML systems.
• Produce design docs and representative models.
• Promote ML best practices and code quality through reviews.

Skills

Python

SQL

Data modelling

ML infra

MLOps

AWS SageMaker

Spark

Airflow

PyTorch

Scikit-learn

Pandas

Keras

DBT

Leadership

Multi-tenant ML

Tools

Docker

Job description

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

• 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.

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.

#LI-SM2 Replacement: This position is open due to an existing vacancy to support our evolving business needs.

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.

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 about a career with us Our Employer Story Inside Thomson Reuters Blog Awards and Recognition Join Our Talent Community Protect Your Job Search Future-ready careers Our focus on a skills-first approach ensures you’ll have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.