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The role involves building and deploying data infrastructure for AI evaluation systems, establishing data governance standards, driving metric development, and collaborating with cross-functional teams to enhance AI product quality through analytics.
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The role involves guiding Sales and Business Segment teams in complex deal structures, managing contract requests, and ensuring compliance with company policies while collaborating with various departments.
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The Vice President will lead technology strategies for mergers, acquisitions, and separations, providing guidance to senior management and aligning objectives with business goals.
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The role involves designing, developing, and maintaining software systems for a search platform, utilizing AI and cloud technologies. Responsibilities include managing production systems, mentoring junior engineers, and participating in operational tasks with a focus on reliability and security.
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As Engineering Manager, you will manage a technical team, drive technical strategy, mentor developers, and ensure effective product delivery while aligning with organizational goals.
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The Senior Applied Scientist will lead research projects in AI/ML for various legal and taxation solutions, focusing on developing scalable AI capabilities while mentoring junior team members.
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The Lead Research Engineer will provide technical leadership, develop scalable ML solutions, and collaborate with teams to innovate and deliver products that enhance customer experiences in legal, accounting, and government sectors.
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The Accounting Analyst supports consolidated financial statement preparation and IFRS disclosures, assists in financial close processes, and helps maintain data integrity in financial systems.
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The Associate Manager, Consolidations will oversee key components of consolidated financial close and IFRS reporting, ensuring data integrity and preparing financial statements with increased independence.
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The Influencer Relations Manager, Legal develops and manages the influencer strategy across the legal ecosystem, focusing on building credibility and relationships with legal influencers to enhance Thomson Reuters' reputation and influence in the legal market.
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The Lead Inference Platform Engineer optimizes AI models for performance, deploys workloads across cloud platforms, and collaborates on model integration and infrastructure scaling.
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As a Lead Applied Scientist, you will define research strategy, mentor teams, and innovate AI/ML solutions for legal and other professional sectors.
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As a Senior Software Engineer, you will develop AI-powered systems to enhance accounting workflows, build backend services, and ensure optimal performance and reliability of AI solutions.
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The Senior Software Engineer, AI will develop and maintain AI/ML features, implement models, and collaborate on innovative solutions within a cross-functional team.
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Lead design and delivery of enterprise-scale AI systems (including RAG and multi-agent architectures), drive AI strategy and POCs, embed solutions with business units, mentor engineers, establish MLOps/LLMOps practices, and scale prototypes into production.
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The Senior Machine Learning Engineer will develop and implement machine learning solutions, ensuring scalability, security, and adherence to best practices while collaborating with cross-functional teams.
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The Senior Technical Product Manager will lead billing and payment product capabilities, ensuring scalable, compliant solutions across various business units, while collaborating with engineering and operations teams to enhance integration and compliance.
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The Senior Engineer is responsible for building AI observability capabilities, ensuring AI systems are reliable and continuously improving, while working with cloud and data engineering teams.
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Design and build full‑stack, agent‑first web applications and scalable cloud-native APIs; partner with AI Engineers to integrate models and data flows; lead architecture, mentor engineers, rapidly prototype AI interaction models, and drive cross-functional delivery.
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The Senior Research Engineer will develop and deliver scalable ML solutions, collaborate with teams, and apply innovative technologies in AI to impact professionals in legal and accounting fields.



