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- 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 culture with opportunities for growth and learning.
- Why this job: Make a real-world impact while developing cutting-edge technology.
- Qualifications: Experience in software engineering, especially with AI and ML.
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. 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 like 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
- 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.
Research Engineer employer: 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, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practicing common questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key, so get comfortable talking about your experiences and projects!
✨Tip Number 4
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. Don’t miss out on the chance to make an impact!
We think you need these skills to ace Research Engineer
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. Make it clear why you’re excited about the role and how you can contribute to our mission.
Tailor Your Experience: Don’t just list your qualifications; connect them to the job description! Highlight your experience with Python, machine learning, and any relevant projects. We love seeing how your background aligns with what we do at Thomson Reuters Labs.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your skills and experiences. We appreciate well-structured applications that make it easy for us to see your potential fit for the team.
Apply Through Our Website: Make sure to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
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, especially those mentioned in the job description. Be ready to discuss how you've applied these technologies in past projects, and think of specific examples that showcase your skills.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex problems in your previous roles. Thomson Reuters Labs values innovative solutions, so think about times when you had to jump into new problem spaces and how you approached them.
✨Be a Team Player
Since collaboration is key at Thomson Reuters Labs, be ready to share experiences where you worked effectively in a team. Highlight how you value diverse ideas and how you’ve partnered with cross-functional teams to achieve goals.
✨Communicate Clearly
Effective communication is crucial for this role. Practice articulating your thoughts clearly and concisely. You might even want to prepare a few questions to ask your interviewers that demonstrate your interest in their work and the company culture.