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Research Engineer - TR Labs

Remote / Online - Candidates ideally in
Greater London, London, Greater London, W1B, England, UK
Listing for: Refinitiv
Part Time, Remote/Work from Home position
Listed on 2026-02-28
Job specializations:
  • Software Development
    Software Engineer, AI Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

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**** Research Engineer
** who willbringexpertisein

AI and ML andisinterestedinbuilding data-driven capabilities that transform the way legal, accounting, and government professionals work across the globe.

As amember of Thomson Reuters Labs in London, you will haveadirect impact on our company and develop products and features that will delight our customers. Do you love creating Then come and apply your skills and passion for technology at Thomson Reuters Labs. We are seeking a who can design with the customer in mind, thinkincode and likes to learn and develop new skills as they are needed;

someone comfortable with jumping into new problem spaces.

As a
** Research Engineer
** at Thomson Reuters Labs, you will be part of a global interdisciplinary team of experts. We hi reengineers and specialists across a variety of AI research areasto drive the company’s digital transformation.

The science and engineering of AI are rapidly evolving.

Weare looking for an adaptable learner
** About the Role
** Be a Team Player:

Working in a collaborative team-oriented environment, you will share information, value diverse ideas, and partner with cross-functional and remote teams.
* Essential skills & experience
* At least2years software engineering experience, ideally in the context of machine learning and natural language processing

Experience and understanding of Python software development stacksand ecosystems, ideally also experience with other programming languages and ecosystems. Ability to understand, apply,integrate and deploy Machine Learning capabilities and techniques into other systems.
* Preferred skills & experience
* Proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform)
Previous exposure to Natural Language Processing (NLP) problems andhavefamiliarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.

Ability to understand and translate between language and methodologies used both in research and engineering fields

Ability to take and integrate Machine Learning solutions to production-grade software
** Hybrid Work Model:
** We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
** Flexibility & Work-Life Balance:
** Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
** Career Development and Growth:
** By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
** Industry Competitive Benefits:
** We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
** Social Impact:
** Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
** Future-ready careers
** Our focus on a skills-first approach ensures you’ll have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
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