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Added 3 months ago
WC
Manager, Data Analytics - Engineering & Platform
Walmart Canada
Mississauga, ON
- Full-time
Added 3 months ago
P
Deals Value Creation Analytics Senior Associate
PwC
Toronto, ON · Montreal, QC
- Full-time
Experience integrating disparate data sources and structuring, cleansing, and transforming data using tools such as Alteryx, SQL, Python, Databricks, or Power Query
Added 3 months ago
ERP Systems Developer and Programmer
ETL Systems Ltd
Montreal, QC
Administrer et optimiser les bases de données Microsoft SQL Server et assurer le support de l’infrastructure des serveurs applicatifs.
Added 3 months ago
M
Senior Manager, Advanced Analytics
MNP
Ottawa, ON · Toronto, ON
- Full-time
Understanding of SQL, report generation using visualization tools such as Tableau/Power BI, programming using Python/Spark;
Added 3 months ago
SD
QA Specialist
Symbiotic Digital
ON · Downtown Toronto (Central Bay Street), Ontario
- Contract
Added 3 months ago
DT
Senior Solutions Principal
Dell Technologies
Toronto, ON
- Full-time
· Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering).
Added 4 months ago
S
Support Analyst
SmartTrade
Toronto, ON
- Full-time
Able to understand and work with SQL,Unix Shell / Bash Scripting
Added 3 months ago
A
Data Solutions Architect
Allied
Toronto, ON
- Full-time
Build on the streamlined Yardi data extraction and SQL query processes already in place; continue to improve efficiency and reliability.
Added 3 months ago
E
SDET III (IC3) - Software Engineer in Test III
Emburse
Toronto, ON
- Full-time
Added 3 months ago
E
Senior SDET (IC4) - Senior Software Engineer in Test
Emburse
Toronto, ON
- Full-time
Added 3 months ago
CA
Senior Data Engineer
Cooke Aquaculture Inc.
Saint John, NB
- Full-time
…such as Snowflake, DBT,FiveTran, Boomi, Azure Data Factory, SQL, Python, and related…
Added 3 months ago
CA
Associate Data Engineer
Cooke Aquaculture Inc.
Saint John, NB
- Full-time
Foundational data engineering skills, including basic SQL, scripting, data modelling, and understanding of data structures and relationships.
Added 3 months ago
CA
Data Engineer
Cooke Aquaculture Inc.
Saint John, NB
- Full-time
Strong SQL, scripting, and data modelling skills, with the ability to map data flows, lineage, and relationships across source and target systems.
Added 3 months ago
L
Senior Full-Stack Engineer
Landjourney
Montreal, QC
- Full-time
…well-documented APIs, model data with Pydantic and PostgreSQL-compatible SQL, and use Redis for caching and async…
Added 3 months ago
L
Java Backend Developer
LTM
ON · Ontario, Canada
- $90,000 to $125,000 CAD / year
- Full-time
Familiar with different persistent storage technologies such as RDMS Sybase SQL Server or Oracle and NoSQL
Added 3 months ago
G
Testeur(euse) logiciel / Software Tester - Digital Information
Genetec
Montreal, QC
- Full-time
Connaissance des concepts liés à la BI et à l'analyse de données (par exemple : validation des données, SQL, tableaux de bord, Power BI, Tableau)
Added 3 months ago
AC
Sr Guidewire Developer -PolicyCenter
Aviva Canada
Markham, ON
- Full-time
As a Senior Guidewire PolicyCenter Developer, you will be responsible for the design, configuration, and development of PolicyCenter solutions that support Aviva’s core policy lifecycle.…
Added 3 months ago
AC
Senior Actuarial Analyst, Claims Analytics
Aviva Canada
Markham, ON
- Full-time
Proficient in Microsoft Excel. Knowledge of Python and SQL
Added 3 months ago
FR
Associate Director - Fund Finance, Funds & Asset Management - Toronto
Fitch Ratings
Toronto, ON
- Full-time
Knowledge of SQL, VBA, and/or other programming languages
Added 2 months ago
PS
Senior Analyst, Data Analytics Enablement
Public Sector Pension Investment Board
Montreal, QC
- Full-time
Proficiency in SQL, with hands-on experience in cloud data platforms such as Snowflake.
Added 2 months ago
EC
Développeur(euse) QA / QA Developer
Eaton Corporation
Brossard, QC
- Full-time
Eaton's Electrical Services and Systems division is currently seeking a motivated QA Developer for its team. This role is based at our Eaton Americas Innovation Center in Brossard (Québec)…
Added 3 months ago
Q
Intermediate Software Developer
Quarterhill
Saskatoon, SK
- Full-time
The Intermediate Software Developer will be responsible for designing, developing, and maintaining software applications. This role involves working closely with senior developers,…
Added 2 months ago
M
Vice-President / Engagement Lead, Forensic Accounting Claims Services
Marsh
Toronto, ON · Quebec City, Quebec · Vancouver, British Columbia · Montreal, Quebec
- Other
Advanced level of proficiency with MS Excel (including VBA), skills in SQL or other database experience is a plus, visualization/analytics applications is a plus
Added 3 months ago
TR
Senior Machine Learning Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
SQL, and data modeling expertise, with DBT considered a plus.
Added 3 months ago
DC
Senior Software Developer
Dufferin-Peel Catholic District School Board
Mississauga, ON
- Full-time
Under the direction of Software Development Supervisor, the Senior Software Developer implements the full software development lifecycle to provide world class solutions to support Dufferin…

Thomson Reuters

Senior Machine Learning Engineer

Toronto, ON, Canada
Canada, Toronto, Ontario, Canada

Full-time

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Job details

Job type: Full-time
Experience: At least 2 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems, to enhance user efficiency, reliability, and consistency.
Posting language: English
Posted: Aug 7, 2026

Original 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.

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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More about this job

Responsibilities

The Senior Machine Learning Engineer will develop and implement scalable machine learning solutions, including configuration and integration for recommender systems. They will also contribute to technical standards, design documentation, and quality control through code reviews.

Requirements

Candidates must have at least 2 years of experience in machine learning, specifically with recommender systems, and proficiency in Python and SQL. A minimum of 2 years of experience with cloud technologies, particularly AWS SageMaker, is also required.

Skills

Machine learning
Recommender systems
Python
SQL
Data modeling
AWS SageMaker
DevOps
MLOps
Spark
Airflow
PyTorch
Scikit-learn
Pandas
Keras
Cloud technologies

Benefits

Flexible vacation
Mental health days
Headspace app access
Retirement savings
Tuition reimbursement
Employee incentive programs
Volunteer days
Flexible work arrangements

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Recommender Systems
Python
SQL
AWS SageMaker
DevOps
MLOps
Spark
Airflow
PyTorch
Scikit-learn
Pandas
Keras
Data Modeling
Cloud Computing
Multi-tenant
Orchestration
DBT
Software Engineering
Technical Implementation

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