Research Engineer - TR Labs

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Thomson Reuters Labs is seeking a Research Engineer to join a team in London, blending AI and ML to build data driven capabilities for legal, tax, accounting and government professionals. You will own end-to-end software delivery, design scalable ML pipelines, and collaborate with teams in a dynamic environment. Essential skills include a BS in CS or related field, 2+ years of software engineering, strong Python and ML/NLP experience, and the ability to deploy ML into production; preferred plus cloud experience (AWS or Azure) and familiarity with NLP tasks such as NER. To apply, tailor your resume to highlight end-to-end projects with metrics and demonstrate learning agility and communication. Also show interest in hybrid work and growth.

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 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. 

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 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.  The science and engineering of AI are rapidly evolving.  We are looking for an adaptable learner who can design with the customer in mind, think in code and likes to learn and develop new skills as they are needed; someone comfortable with jumping into new problem spaces.  
Is this you? Come join us!    

About the Role    
In this opportunity as a Research Engineer, you will:     

• Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, designing, 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, and 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.    

  
About You     
Essential skills & experience    

• A Bachelor of Science degree, computer science or related field   
• At least 2 years software engineering experience, ideally in the context of machine learning and natural language processing  
• Experience and understanding of Python software development stacks and 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.   
• Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn   
• Take pride in writing clean, reusable, maintainable and well-tested code   
• A desire to learn and embrace new and emerging technology   
• Familiarity with probabilistic models and understand the mathematical concepts underlying machine learning methods  

 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 and have familiarity 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  

#LI-FP3

What’s in it For You?

• 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.

• Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.

• 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.

• Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

DISCLAIMER

The above information in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

About Us

Thomson Reuters 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.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.

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More information about Thomson Reuters can be found on thomsonreuters.com