Research Engineer

Research Engineer

Full-Time 60000 - 80000 ÂŁ / year (est.) Home office (partial)
Thomson Reuters

At a Glance

  • Tasks: Create innovative AI and ML solutions that transform industries.
  • Company: Join Thomson Reuters Labs, a leader in tech innovation.
  • Benefits: Enjoy flexible work, competitive pay, and comprehensive benefits.
  • Other info: Collaborative environment with opportunities for career growth.
  • Why this job: Make a real-world impact while developing cutting-edge technology.
  • Qualifications: Experience in software engineering, AI, and machine learning required.

The predicted salary is between 60000 - 80000 ÂŁ per year.

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization. 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, 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.

About the Role

  • 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

  • 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.
  • 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.

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.
  • 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.
  • 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 Your Thinking, Act Fast / Learn Fast, and Stronger Together.
  • Social Impact: Make an impact in your community with our Social Impact Institute.
  • Making a Real‑World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency.

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.

Research Engineer employer: Thomson Reuters

Thomson Reuters Labs is an exceptional employer that fosters a culture of innovation and collaboration, empowering Research Engineers to create impactful AI and ML solutions in a flexible hybrid work environment. With a strong commitment to employee growth, comprehensive benefits, and a focus on work-life balance, we provide our team with the resources and support needed to thrive both personally and professionally. Join us in making a real-world impact while working alongside a diverse global team dedicated to transforming the way professionals operate across various sectors.
Thomson Reuters

Contact Detail:

Thomson Reuters Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in your field, especially those at Thomson Reuters Labs. A friendly chat can open doors and give you insights that a job description just can't.

✨Tip Number 2

Show off your skills! If you've got a portfolio or projects showcasing your AI and ML expertise, make sure to share them during interviews. It’s a great way to demonstrate your hands-on experience.

✨Tip Number 3

Prepare for the tech talk! Brush up on your coding skills and be ready to tackle some live coding challenges. We love seeing how you think through problems and come up with innovative solutions.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team!

We think you need these skills to ace Research Engineer

AI Expertise
Machine Learning (ML)
Data Processing Pipelines
Python Software Development
Natural Language Processing (NLP)
Clean Code Practices
Cloud-Native Applications
AWS or Azure Familiarity
Probabilistic Models
Automation and System Monitoring
Cross-Functional Collaboration
Agile Methodologies
Dynamic Communication Skills
Adaptability to New Technologies

Some tips for your application 🫡

Show Your Passion for Innovation: When writing your application, let us see your enthusiasm for creating innovative solutions. Share examples of how you've tackled challenges in the past and how your skills in AI and ML can contribute to our mission at Thomson Reuters Labs.

Tailor Your Experience: Make sure to highlight your relevant experience in software engineering, especially in machine learning and natural language processing. We want to see how your background aligns with the role, so don’t be shy about showcasing your Python skills and any projects you've worked on.

Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to describe your achievements and skills. Remember, we appreciate effective communication, so make it easy for us to understand your qualifications.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for current and future openings. Plus, it’s super easy!

How to prepare for a job interview at Thomson Reuters

✨Know Your Tech

Make sure you brush up on your knowledge of AI and ML technologies. Be ready to discuss specific projects you've worked on, especially those involving Python and data science libraries like Numpy and Pandas. This will show that you’re not just familiar with the concepts but have practical experience too.

✨Show Your Problem-Solving Skills

Prepare to talk about how you've tackled complex problems in the past. Thomson Reuters Labs values innovative solutions, so think of examples where you’ve designed or implemented a unique approach to a challenge, particularly in machine learning or software development.

✨Be a Team Player

Collaboration is key in this role, so be ready to share experiences where you’ve worked effectively in a team. Highlight how you value diverse ideas and how you’ve partnered with cross-functional teams to achieve a common goal.

✨Communicate Clearly

Effective communication is crucial, especially when discussing technical concepts. Practice explaining your work in simple terms, as you may need to articulate complex ideas to non-technical stakeholders. This will demonstrate your ability to engage with a variety of audiences.

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