Thomson Reuters

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

Manager, Software Engineering, CoCounsel Application

Job Description

Job title: Manager, Software Engineering, CoCounsel Application Role Summary: Lead a high‑performing engineering team to design, build, and launch scalable UI and backend solutions for a next‑generation legal technology product. Drive product strategy, technical direction, and cross‑functional collaboration while fostering a culture of excellence and continuous improvement. Expectations: • Deliver high‑quality, production‑ready software that meets business and user needs. • Lead talent acquisition, mentorship, and performance management to grow a capable and innovative team. • Use data‑driven insights to set and evaluate success metrics. • Align engineering initiatives with overarching product goals and business objectives. Key Responsibilities: • Manage day‑to‑day operations of a software engineering team (5–10 engineers). • Own the engineering roadmap, sprint planning, and release cadence. • Architect and oversee development of front‑end (React/Angular/Vue) and back‑end (Node.js, Python) components. • Code review, set best‑practice standards, and contribute to major design decisions. • Collaborate with product managers and designers to refine feature requirements and user experience. • Integrate AI/GenAI technologies (prompt engineering, RAG, fine‑tuning) into product features. • Establish metrics, monitor performance, and iterate on process improvements. • Recruit, interview, and onboard new engineering talent. • Champion a culture of growth, learning, and inclusion. Required Skills: • 5+ years of hands‑on software engineering with scalable web solutions. • Deep experience with modern UI frameworks (React, Angular, Vue) and TypeScript. • Strong back‑end development skills in Node.js and Python. • Knowledge of AI/GenAI concepts such as prompt engineering and retrieval‑augmented generation. • Proven leadership in managing and mentoring engineering teams. • Ability to navigate ambiguity, make data‑driven decisions, and prioritize in fast‑paced environments. • Excellent communication, collaboration, and stakeholder management skills. • Familiarity with cloud platforms (Azure, AWS, or GCP). Required Education & Certifications: • BA/BS in Computer Science or related field, or equivalent practical experience. • Demonstrated success in recruiting, performance management, and cultivating a positive team culture.

Toronto, Canada

Hybrid

Mid level

30-10-2025

Company Name

Thomson Reuters

Job Title

Lead DevOps Engineer, CoCounsel for Government

Job Description

Job title: Lead DevOps Engineer – CoCounsel for Government Role Summary: Senior DevOps leader who defines and sustains scalable, secure, and compliant cloud architectures for government clients. Drives technical strategy, mentors engineers, and oversees CI/CD, automation, and incident response in regulated environments. Expectations: - 6+ years of DevOps/SRE leadership in enterprise or regulated settings. - Proven track record delivering cloud‑native, container‑based solutions with AWS (preferred), GCP, or Azure. - Expertise in Infrastructure as Code (CloudFormation, Terraform, etc.) and Kubernetes (EKS/GKE/AKS). - Strong Python development capability, including static typing practices. - Deep security knowledge: encryption, IAM, secrets management, compliance with government regulations. Key Responsibilities: - Design, implement, and maintain scalable system architectures on AWS GovCloud or equivalent environments. - Lead CI/CD pipeline development and maintenance, ensuring security, compliance, and reliable deployments. - Create production‑grade Python automation tools and backend services. - Mentor and coach engineers, conduct code reviews, and establish best practices. - Champion DevOps methodologies, fostering continuous improvement and collaboration. - Lead incident response, root‑cause analysis, and post‑mortem processes. - Manage observability with APM and monitoring tools (Datadog, CloudWatch, Prometheus, Grafana, Kibana). - Collaborate with product, security, and compliance teams to align DevOps priorities with business goals. Required Skills: - Cloud: AWS (preferred) – EC2, Lambda, ECS, EKS, CloudFormation; or GCP/Azure equivalents. - Container orchestration: Docker, Kubernetes (EKS/GKE/AKS). - IaC: CloudFormation, Terraform. - CI/CD: Advanced automation, blue/green, canary, rollback mechanisms. - Programming: Python (production‑grade, typed). - Security: Encryption, IAM, Secrets Manager, security automation, government compliance. - Observability: Datadog, CloudWatch, Prometheus, Grafana, Kibana. - Leadership: Technical mentorship, code review, cross‑functional communication. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). - Relevant certifications highly valued: - AWS Certified DevOps Engineer – Professional - Certified Kubernetes Administrator (CKA) or similar - Professional Cloud DevOps Engineer (Google) or Azure DevOps Engineer Expert - Security certifications such as CISSP, CISM, or Cloud Security Professional are a plus.

Toronto, Canada

Hybrid

Senior

03-11-2025

Company Name

Thomson Reuters

Job Title

Manager, Lead Research Scientist, LLM Agents (Foundational Research)

Job Description

**Job Title:** Manager, Lead Research Scientist, LLM Agents (Foundational Research) **Role Summary:** Lead and grow a global team of ML/NLP researchers focused on foundational AI for large language model (LLM) agents. Drive end‑to‑end research from idea generation through implementation, experimentation, and publication. Partner with internal labs, academic institutions, and domain experts to develop state‑of‑the‑art training, post‑training, data‑centric, and evaluation techniques for agentic AI systems. **Expectations:** - Provide strategic direction and hiring for the research group. - Mentor and develop senior scientists and engineers, fostering a high‑performance culture. - Deliver cutting‑edge research results that translate into publishable papers and proprietary model improvements. - Communicate findings internally and externally through talks, seminars, and conference submissions. **Key Responsibilities:** - Define research roadmaps for LLM training, agent reasoning, tool use, and evaluation. - Oversee experimental design, coding, distributed training, and benchmark creation. - Publish in top conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) and contribute to open‑source or proprietary assets. - Collaborate with applied research teams, academic partners, and subject‑matter experts to integrate real‑world data and use cases. - Manage team performance, conduct regular reviews, and support career growth of direct reports. - Represent the organization at external seminars, workshops, and industry forums. **Required Skills:** - Deep expertise in machine learning, NLP, and generative AI, especially LLM agents and multi‑agent coordination. - Proficient in at least one deep‑learning framework (PyTorch, JAX, TensorFlow). - Strong track record of peer‑reviewed publications in top AI conferences. - Experience leading research teams (academic supervision or industry) for 3+ years. - Excellent written and verbal communication; ability to convey complex ideas to technical and non‑technical audiences. - Proven ability to design novel algorithms, conduct rigorous experiments, and interpret results. - Strong interpersonal skills; capable of motivating and mentoring diverse, distributed teams. **Required Education & Certifications:** - Ph.D. in Computer Science, Machine Learning, NLP, or a closely related field. - Minimum 3 years of post‑doctoral or industry research leadership experience. - No additional certifications required; a strong publication record serves as primary qualification.

London, United kingdom

Hybrid

Senior

09-11-2025

Company Name

Thomson Reuters

Job Title

Research Scientist, LLM Agents (Foundational Research)

Job Description

**Job Title:** Research Scientist - LLM Agents **Role Summary:** Lead foundational research in agent-based AI systems, LLM training, and advanced machine learning techniques. Focus on innovative algorithm development, experimental evaluation, and collaboration with academic and industry experts to advance AI/ML solutions. **Expectations:** Conduct end-to-end research on cutting-edge LLM agent approaches; contribute to publication of findings in top-tier conferences; work autonomously and collaboratively in agile, fast-paced environments. **Key Responsibilities:** - Design, implement, and evaluate novel agent-based AI/LLM solutions for planning, reasoning, and complex workflows. - Develop and optimize LLM training techniques (e.g., reinforcement learning alignment, distributed training). - Apply data-centric ML methods (synthetic data, curriculum learning) to enhance model performance. - Collaborate in global teams to prototype, test, and deliver research outcomes for real-world deployment. - Publish results in academic conferences/journals and disseminate findings through presentations and open-source contributions. **Required Skills:** - Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow). - Strong algorithmic problem-solving capabilities for AI/LLM research. - Excellent communication skills for technical writing and presenting. - Experience in agent-based systems, tool use, or multi-agent coordination in LLM contexts. - Ability to work independently in dynamic, ambiguous settings. **Required Education & Certifications:** - PhD in Machine Learning, Computer Science, or related field (completed or in progress). - First-author publications in top-tier conferences (NeurIPS, ICML, ICLR, ACL, EMNLP) focused on agent systems or LLM research.

London, United kingdom

Hybrid

09-11-2025