Senior Research Engineer - TR Labs

Do you love creating innovative solutions for customers? Then come and apply your skills and passion for technology at Thomson Reuters Labs. We are seeking a Senior Research Engineer who will bring expertise in AI and ML and is interested in building data‑driven capabilities that transform the way legal, accounting, and government professionals work across the globe. As a member of Thomson Reuters Labs in London, you will have a direct impact on our company and develop products and features that will delight our customers.

We experiment, we build, we deliver. We obsess over our customers through applied research and development of new products and technologies.

In TR Labs, we act fast and learn fast, innovating collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News.

As a Senior Research Engineer at Thomson Reuters Labs, you will be part of a global interdisciplinary team of experts. We hire engineers and specialists across a variety of AI research areas to drive the company’s digital transformation. AI research and engineering are advancing rapidly. We are seeking an adaptable learner who not only thinks in code and eagerly develops new skills as required, but who also has a proven track record of independently delivering results in unfamiliar problem spaces.

This is someone who thrives on taking initiative, successfully navigating new challenges, and who enjoys guiding and supporting the efforts of others.

• Develop and Deliver:
  Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high‑quality solutions.
• Build Scalable ML Solutions:
  You will create large‑scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high performing scalable systems in the context of large online delivery environments.
• Be a Team Player:
  Working in a collaborative team‑oriented environment, you will share information, value diverse ideas, partner with cross‑functional and remote teams.
• Be an Agile Person:
  With a strong sense of urgency and a desire to work in a fast‑paced, dynamic environment, you will deliver timely solutions.
• Be Innovative:
  You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end‑to‑end deliveries.
• Be an Effective Communicator:
  Through dynamic engagement and communication with cross‑functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.

• ABachelor’s Degree in Computer Science, Related Field, or Equivalent Experience
• At least 5 years of software engineering experience.
• At least 2 years working on a Machine Learning related product or solution.
• A deep understanding of Python software development stacks and ecosystems.
• Ability to write clean, reusable, maintainable and well‑tested code.
• Track record of quickly adopting and applying emerging technologies to solve complex problems.
• Experience collaborating with applied data scientists to translate research work into production‑ready solutions.
• A keen interest in real‑world applications and impact.
• Experience with cloud computing development.
• Experience with Agile Methodologies.
• Experience implementing CI/CD, Dev Ops, and SDLC concepts in application delivery.

• Experience integrating Machine Learning and Generative AI solutions into production‑grade software.
• Understanding of Model Ops and MLOps principles.
• Exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, Text classification, Summarization, etc.
• Ability to understand and translate between language and methodologies used both in research and engineering fields.
• Hands‑on experience in other programming language/scripting language and development stack (Java, Rust, Scala, Typescript, etc.).

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• Hybrid Work Model:
  We’ve adopted a flexible hybrid…