Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Create innovative AI and ML solutions that transform professional workflows.
- Company: Join Thomson Reuters Labs, a leader in tech innovation and customer obsession.
- Benefits: Enjoy flexible work, competitive pay, wellness resources, and career growth opportunities.
- Other info: Experience a hybrid work model and contribute to meaningful social impact initiatives.
- Why this job: Make a real-world impact while working with cutting-edge technology in a dynamic team.
- Qualifications: 5+ years in software engineering with a focus on machine learning and Python expertise.
The predicted salary is between 60000 - 80000 £ per year.
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.
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 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.
About The Role
- 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, 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
You are a fit for the position of Senior Research Engineer if your background includes:
- A Bachelor’s Degree 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 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, DevOps, and SDLC concepts in application delivery.
Preferred Skills And Experience
- Experience integrating Machine Learning and Generative AI solutions into production-grade software
- Understanding of ModelOps 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 languages / scripting languages and development stacks (Java, Rust, Scala, Typescript, etc.)
What’s in it For You?
- Hybrid Work Model: Flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles, with a digitally and physically connected experience.
- Flexibility & Work-Life Balance: Flex My Way policies to help manage personal and professional responsibilities, including work from anywhere for up to 8 weeks per year.
- Career Development and Growth: Grow My Way programming and skills-first approach to help you grow, lead, and thrive in an AI-enabled future.
- Industry Competitive Benefits: Comprehensive benefit plans to include flexible vacation, mental health days, Headspace access, retirement savings, tuition reimbursement, and wellness resources.
- Culture: Global inclusion & belonging, values including Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
- Social Impact: Two paid volunteer days per year and opportunities for pro-bono and ESG initiatives.
- Making a Real-World Impact: We help professionals uphold justice, truth, and transparency and support global commerce and information integrity.
About Us
Thomson Reuters informs the way forward by bringing together trusted content and technology for professionals across legal, tax, accounting, compliance, government, and media. Our products combine software and insights to empower professionals with data, intelligence, and solutions to make informed decisions. Reuters, part of Thomson Reuters, is a world-leading provider of trusted journalism and news. We are powered by 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. We are committed to objectivity, accuracy, fairness, and transparency in our work. We are an Equal Employment Opportunity Employer and provide 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.
Senior Research Engineer - TR Labs employer: Thomson Reuters
Contact Detail:
Thomson Reuters Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Engineer - TR Labs
✨Tip Number 1
Network like a pro! Reach out to current employees at Thomson Reuters Labs on LinkedIn. Ask them about their experiences and any tips they might have for your application process. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your AI and ML knowledge. Be ready to discuss how you've tackled complex problems in the past. Show us your passion for technology and how you can contribute to innovative solutions!
✨Tip Number 3
Don’t just focus on technical skills; highlight your teamwork and communication abilities. We love team players who can collaborate across different functions. Share examples of how you've worked with others to achieve great results!
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Thomson Reuters Labs. Let’s make an impact together!
We think you need these skills to ace Senior Research Engineer - TR Labs
Some tips for your application 🫡
Show Your Passion for Innovation: When writing your application, let your enthusiasm for creating innovative solutions shine through. We want to see how your skills in AI and ML can transform the way professionals work, so share specific examples of your past projects that demonstrate this.
Highlight Your Technical Skills: Make sure to clearly outline your technical expertise, especially in Python and machine learning. We’re looking for someone who can write clean, maintainable code, so don’t shy away from showcasing your experience with software development practices and cloud computing.
Emphasise Team Collaboration: As a Senior Research Engineer, being a team player is key. In your application, mention your experience working in collaborative environments and how you’ve successfully partnered with cross-functional teams to deliver results.
Be Clear and Concise: Keep your application clear and to the point. We appreciate effective communication, so make sure your ideas are articulated well. Remember, we want to see your ability to convey complex concepts simply, which is crucial for this role.
How to prepare for a job interview at Thomson Reuters
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AI and ML technologies, especially those relevant to the role. Be prepared to discuss your experience with Python and any machine learning projects you've worked on. This will show that you're not just familiar with the concepts but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Think of specific examples where you've tackled complex problems in unfamiliar areas. Be ready to explain your thought process and how you navigated challenges. This will demonstrate your adaptability and initiative, which are key traits for a Senior Research Engineer.
✨Emphasise Collaboration
Since this role involves working in a team-oriented environment, be sure to highlight your experience collaborating with cross-functional teams. Share stories that illustrate how you value diverse ideas and how you've successfully partnered with others to deliver results.
✨Communicate Clearly and Confidently
Effective communication is crucial, so practice articulating your ideas clearly. Prepare to discuss technical concepts in a way that’s accessible to non-technical stakeholders. This will show that you can engage dynamically with team members and partners, which is essential for driving innovation.