Thomson Reuters

13 Jobs

35,794 Employees

About the Company

Thomson Reuters (TSX/NDAQ: TRI) 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.

For more information on Thomson Reuters, visit tr.com and for the latest world news, reuters.com.

Listed Jobs

Company Name: Thomson Reuters
Job Title: Senior Cloud Engineer
Job Description: **Job title** Senior Cloud Engineer **Role Summary** Design, deploy, and maintain cloud‑native solutions for large‑scale web applications, leading DevOps practices and supporting AI‑driven services. Collaborate cross‑functionally with architects, developers, and stakeholders to deliver scalable, secure, and high‑performance cloud infrastructure on AWS. **Expectations** - Deliver end‑to‑end cloud solutions that meet business and technical requirements. - Exhibit strong ownership of production reliability, scalability, and cost effectiveness. - Communicate clearly with technical and non‑technical stakeholders. - Remain proactive in identifying and resolving performance, security, and operational challenges. **Key Responsibilities** - Architect and implement scalable AWS environments (EKS, ECS, Lambda, RDS, S3, etc.). - Build, maintain, and optimize CI/CD pipelines with GitHub Actions, AWS CodePipeline, and CodeBuild. - Provision and manage infrastructure using IaC tools (Terraform, CloudFormation). - Deploy, monitor, and troubleshoot containerized applications via Kubernetes. - Configure monitoring and observability with Datadog, Grafana, and CloudWatch. - Write and maintain technical documentation (architecture, runbooks, SOPs). - Mentor peers on DevOps best practices and emerging cloud technologies. - Collaborate with data and AI teams on retrieval systems (OpenSearch) and AI‑powered tools. **Required Skills** - 5+ years of backend development experience in Java or Python. - 3+ years of AWS expertise (EKS/Kubernetes, EC2, S3, RDS, Lambda). - 3+ years of CI/CD pipeline development (GitHub Actions, AWS services). - Strong proficiency in IaC: Terraform or CloudFormation. - Experience with container orchestration (Kubernetes, Helm). - Proficiency in monitoring tools (Datadog, Grafana, CloudWatch). - Excellent debugging, performance tuning, and problem‑solving abilities. - Good written and verbal communication; cross‑functional collaboration. - Familiarity with data engineering concepts and AI‑supported development workflows is a plus. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience. - Optional: AWS certification (Solutions Architect, DevOps Engineer) or equivalent credentials.

Company Name: Thomson Reuters
Job Title: Applied Scientist, NLP/IR/GenAI
Job Description: **Job Title:** Applied Scientist, NLP/IR/GenAI **Role Summary:** Build next-generation AI-driven search solutions using neural information retrieval and GenAI techniques to address legal and professional information challenges. Develop and optimize models for semantic search, re-ranking, and query understanding in production systems. **Expectations:** Deliver end-to-end AI search innovations, optimize retrieval accuracy and latency, drive technical strategy for NLP/IR systems, align solutions with product goals, and contribute to advancements in AI search research. **Key Responsibilities:** - Design, implement, and deploy neural IR models (dense retrieval, cross-encoders, SLM re-rankers) and semantic/hybrid search systems. - Develop evaluation frameworks using human annotation and synthetic data to measure component and end-to-end performance. - Independently select retrieval architectures, indexing strategies, and ranking models for IR/NLP challenges. - Collaborate with engineering and product teams to translate business requirements into scalable technical solutions. - Publish peer-reviewed research in top ML/NLP conferences (e.g., NeurIPS, ACL, SIGIR) and file patents. **Required Skills:** - Proficiency in Python, PyTorch, DeepSpeed, PyTorch-based frameworks. - Expertise in NLP, neural IR (BM25, DPR, ColBERT), semantic search, RAG systems. - Hands-on experience with vector databases, document chunking, re-ranking, and cross-encoder architectures. - Strong background in ML/DL for ranking, relevance modeling, and LLM post-training for retrieval systems. - Demonstrated ability to create datasets, evaluation frameworks, and scale production-grade AI systems. **Required Education & Certifications:** - PhD in Computer Science/AI or Master’s with equivalent research/industry experience. - 3+ years in neural IR/NLP system development and deployment. - Publications in top-tier ML/NLP venues (e.g., NeurIPS, ACL, SIGIR) required.

Ann arbor, United states

Hybrid

Junior

31-12-2025

Company Name: Thomson Reuters
Job Title: Generative AI & Machine Learning Engineer
Job Description: Job Title: Generative AI & Machine Learning Engineer Role Summary: Lead end‑to‑end development, deployment, and monitoring of generative AI and ML solutions, collaborating with cross‑functional teams to translate complex business problems into production‑ready models and features. Expectations: * Drive reproducible research and software delivery best practices. * Mentor and influence teammates on AI/ML topics. * Communicate progress to technical and non‑technical stakeholders. Key Responsibilities: * Design, implement, and test generative AI models (e.g., RAG, ReAct, LangChain) for document summarization, knowledge graphs, and information extraction. * Own the model lifecycle from ideation through deployment and continuous monitoring. * Integrate AI solutions with product environments, ensuring performance, scalability, and security compliance. * Collaborate with product and data teams to define scope, prioritize features, and deliver timely deliverables. * Explore and prototype new AI architectures, troubleshooting failures, and iterating rapidly. Required Skills: * Python programming proficiency; experience with ML libraries (PyTorch, TensorFlow, Scikit‑learn) and NLP frameworks (spaCy, HuggingFace, LangChain, Semantic Kernel). * 3+ years of building and deploying AI/ML products, with recent hands‑on Generative AI work. * Strong software engineering fundamentals, including version control, CI/CD, and cloud deployment (AWS, Azure). * Ability to manage ambiguous problems, break them into actionable parts, and communicate plans clearly. * U.S. citizenship and ability to obtain/maintain a U.S. national security clearance. Required Education & Certifications: * Bachelor’s or Master’s in Computer Science, Data Science, or related field (or equivalent experience). * Relevant certifications in cloud or AI/ML practices are a plus.

Mclean, United states

Hybrid

Mid level

31-12-2025

Company Name: Thomson Reuters
Job Title: Salesforce Engineer
Job Description: **Job Title:** Salesforce Engineer **Role Summary:** Experienced Salesforce Engineer to design, develop, and implement end‑to‑end Salesforce solutions (Sales Cloud, Service Cloud, CPQ) within a global engineering team. Responsible for customization, integration, automation, and delivery of technical artifacts while collaborating with architects, product owners, and cross‑functional stakeholders. **Expectations:** - 3‑5 years of hands‑on Salesforce development and implementation. - Proven expertise in Sales Cloud, Apex, Visualforce, Lightning (LWC & Aura), and CPQ (Salesforce CPQ / Conga CPQ). - Ability to design and consume REST/SOAP APIs and integrate with external systems (e.g., MuleSoft, Zapier). - Strong teamwork, communication, and adherence to release and change‑management processes. **Key Responsibilities:** - Develop and customize Salesforce solutions using Apex, Visualforce, Lightning Web Components, and point‑and‑click tools (Flow, Process Builder). - Implement CPQ configurations and related business rules. - Design, build, and maintain integrations via REST/SOAP APIs; use tools like Postman for testing. - Create reports, dashboards, and data‑migration scripts using Data Loader, Workbench, etc. - Produce technical design documentation, estimates, and change‑set deliverables. - Participate in sprint planning, code reviews, and continuous‑improvement initiatives. - Manage version control (Git) and follow Salesforce release cycles and sandbox management. **Required Skills:** - Salesforce Sales Cloud and Service Cloud expertise. - Apex, Visualforce, Lightning (LWC & Aura) development. - Salesforce CPQ / Conga CPQ configuration. - API design and integration (REST, SOAP). - Automation with Flow/Process Builder. - Data loading tools (Data Loader, Workbench). - Version control (Git) and basic CI/CD concepts. - Familiarity with security scanning tools and best practices. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent professional experience). - Preferred: Salesforce Platform Developer I/II, Salesforce Administrator, or Salesforce CPQ Specialist certifications.

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