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 £ 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
As an Editor at The Insurer, you will thrive in a dynamic and supportive work environment located in the heart of London, where innovation meets collaboration. Our hybrid work model promotes flexibility, allowing you to balance personal and professional commitments while benefiting from comprehensive career development programmes tailored to help you excel in your role. With a strong emphasis on social impact and employee wellbeing, we offer competitive benefits that include mental health days, volunteer opportunities, and resources for your overall wellness, making us an exceptional employer for those seeking meaningful and rewarding employment.
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We think this is how you could land Research Engineer
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We think you need these skills to ace Research Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Thomson Reuters, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Thomson Reuters. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Thomson Reuters
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Thomson Reuters!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
