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Senior Research Engineer - TR Labs

Job in 6300, Zug, Kanton Zug, Switzerland
Listing for: TRSS
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist, Machine Learning/ ML Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CHF Yearly CHF 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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 andMLand is interested in building data-driven capabilities that transform the waylegal, accounting, and governmentprofessionalsworkacross the globe. As a member of Thomson Reuters Labs in London, you will have a direct impact on ourcompanyanddevelopproductsand features that will delight our customers.

What does Thomson Reuters Labs do?
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 recordof 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.

Is this you? Come join us!

About the Role

In this opportunity as a
Senior Research Engineer
, you will:

  • 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:
    Witha strong senseof urgency and a desire to work in a fast-paced, dynamic environment, you will delivertimelysolutions.

  • Be Innovative:
    You are empowered to trynew approaches and learnnew 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.

About You

You are a fit for the position of
Senior Research Engineer
if your background includes:

  • ABachelor’sDegree in Computer Science, Related Field, or Equivalent Experience

  • At least 5 years 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 recordof quickly adopting and applying emerging technologies to solve complex problems

  • Experience collaborating with applied data scientists to translate research work in 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.

Preferred Skills and Experience
  • Experience integrating

    Machine Learning and Generative AIsolutions into production-grade software

  • Understanding of ModelOpsandMLOpsprinciples

  • 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/scriptinglanguageand development stack…

Position Requirements
10+ Years work experience
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