Thomson Reuters

19 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: 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

Company Name: Thomson Reuters
Job Title: Senior DevOps Engineer, CoCounsel for Government
Job Description: **Job Title:** Senior DevOps Engineer, CoCounsel for Government **Role Summary:** Design, build, and maintain secure, scalable cloud infrastructure and deployment pipelines for government‑focused solutions. Lead automation, container orchestration, and observability initiatives while ensuring compliance with FedRAMP, FIPS, and related standards. Mentor junior engineers and collaborate with cross‑functional teams in a remote‑first, hybrid environment. **Expectations:** - Deliver highly available, automated production environments on AWS (or comparable cloud). - Integrate security and compliance controls throughout the DevOps lifecycle. - Optimize CI/CD pipelines to maximize developer productivity and minimize downtime. - Provide technical leadership, code reviews, and mentorship to the DevOps team. **Key Responsibilities:** 1. Architect and maintain cloud infrastructure using IaC (CloudFormation or equivalent). 2. Implement and manage container platforms (Docker, Kubernetes/EKS, ECS) and serverless services (Lambda, App Service, Cloud Run). 3. Develop production‑grade automation scripts and tooling in Python; leverage Ansible for configuration management where applicable. 4. Design, build, and sustain CI/CD pipelines with Jenkins, GitHub Actions, or AWS CodePipeline. 5. Embed security best practices and government compliance (FedRAMP, FIPS) in all environments. 6. Deploy and operate observability stacks (Datadog, CloudWatch, Prometheus, Grafana, Kibana) for monitoring, APM, and incident response. 7. Collaborate with product, engineering, and InfoSec teams to define infrastructure and deployment strategies. 8. Mentor junior engineers, conduct code reviews, and promote DevOps best practices. **Required Skills:** - 4+ years in DevOps/SRE or related roles, with deep AWS experience (or GCP/Azure). - Strong proficiency in Infrastructure as Code (CloudFormation, Terraform, or similar). - Expertise in container orchestration (Docker, Kubernetes/EKS, ECS) and serverless computing. - Advanced Python scripting/automation; familiarity with Ansible a plus. - Comprehensive knowledge of cloud security, IAM, encryption, and compliance frameworks (FedRAMP, FIPS). - Experience with modern deployment patterns (microservices, immutable infrastructure, blue/green, canary). - Proficient with observability tools (Datadog, CloudWatch, Prometheus, Grafana, Kibana). - Excellent communication, collaboration, and remote‑team coordination skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field (or equivalent practical experience). - Preferred certifications: AWS Certified Solutions Architect – Professional, AWS Certified DevOps Engineer – Professional, or comparable GCP/Azure certifications.

Company Name: Thomson Reuters
Job Title: Senior Software Engineer – AI (Westlaw AI)
Job Description: Job Title: Senior Software Engineer – AI Role Summary: Design, build, and production‑grade deploy AI systems (RAG, LLM agents, multi‑step reasoning) that power expert solutions in legal, tax, and compliance domains. Lead technical direction, prototype new AI capabilities, mentor peers, and ensure robust, scalable, and secure AI operations. Expectations: 5+ years software engineering, 2+ years AI/ML focused experience; bachelor’s degree in CS or related field; strong AI model development and deployment skills; proficiency in Python and ML frameworks; experience with cloud (AWS/Azure/GCP) and container tools (Docker, Kubernetes); excellent communication and cross‑functional collaboration. Key Responsibilities: • Architect and implement AI pipelines, RAG, and custom agents. • Integrate models into production via APIs and scalable data pipelines. • Adapt AI techniques for domain‑specific expert systems. • Run proof‑of‑concepts and prototype cutting‑edge AI solutions. • Break down ambiguous requirements into technical specifications. • Mentor junior engineers and lead technical discussions. • Contribute to ML blogs, LLMOps practices, and external thought leadership. • Design and maintain testing, monitoring, bias analysis, and data governance frameworks. • Optimize system performance for latency and resource usage. • Collaborate with researchers, designers, and product teams to translate AI into real‑world applications. Required Skills: • Python with PyTorch/TensorFlow or similar ML libraries. • AI/ML model development, evaluation, and system design. • Retrieval‑augmented generation (RAG) and LLM‑driven agent architectures. • Vector databases, embeddings, and search‑based AI. • Cloud platform expertise (AWS, Azure, GCP) and container orchestration (Docker, Kubernetes). • API design and integration at scale. • Data governance, bias mitigation, and security best practices. • Strong communication, collaboration, and mentorship abilities. Required Education & Certifications: Bachelor’s degree in Computer Science or a related discipline.

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