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- Tasks: Join us as a Research Engineer to innovate and develop cutting-edge AI solutions.
- Company: Thomson Reuters Labs is a leader in foundational research and technology development.
- Benefits: Enjoy industry-leading benefits, flexible work-life balance, and career growth opportunities.
- Why this job: Be part of a diverse team tackling real-world challenges with innovative AI solutions.
- Qualifications: A relevant technical degree and experience in applied machine learning are essential.
- Other info: This role offers a hybrid work model and a culture of inclusion and innovation.
The predicted salary is between 36000 - 60000 £ per year.
Are you a curious and open-minded individual with an interest in state-of-the-art machine learning engineering and research? Thomson Reuters Labs is seeking a Data Engineer with a passion for solving challenging machine learning problems in a data-rich, complex and innovative environment.
What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our product teams through foundational research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. As a Research Engineer, you will be part of a diverse global team of experts. We hire world-leading specialists in SWE /Applied ML, as well as Research, to drive the company’s leading internal AI model development, fueled by an unprecedented wealth of data and powered by cutting-edge technical infrastructure.
About the Role: In this opportunity as a Research Engineer – Data, you will:
- Innovate: Work at the cutting edge of AI Research, making the best use of rich data sources.
- Engineer and Develop: Design, develop, and optimize scalable data pipelines to support LLM training and evaluation.
- Collaborate: Work on a collaborative global team of engineers and scientists both within Thomson Reuters and our academic partners.
About You: You’re a fit for the role of Research Engineer – Data, if your background includes:
Required qualifications:
- Relevant degree in a technical discipline.
- Interest in & experience working with (applied) machine learning.
- Excellent programming, debugging and system design skills.
- Excellent communication skills.
- Curious and innovative disposition.
- Self-driven attitude.
- Experience with relational and NoSQL databases.
- Experience with data pipeline orchestration tools.
- Experience with cloud-based data platforms.
- Comfortable working in fast-paced, agile environments.
Preferred qualifications:
- Additional legal knowledge.
- Ability to communicate with multiple stakeholders.
- Experience with big data technologies.
- Experience conducting world-leading research.
- Previous experience working on large-scale data processing systems.
- Strong software and/or infrastructure engineering skills.
What’s in it For You? Join us to inform the way forward with the latest AI solutions and address real-world challenges in legal, tax, compliance, and news. This includes:
- Industry-Leading Benefits.
- Flexibility & Work-Life Balance.
- Career Development and Growth.
- Culture of inclusion, innovation, and customer-focus.
- Hybrid Work Model.
- Social Impact initiatives.
Do you want to be part of a team helping re-invent the way knowledge professionals work? Join us and help shape the industries that move society forward.
Accessibility: As a global business, we seek talented, qualified employees in all our operations around the world. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.
Research Engineer, Data (Foundational Research, Machine Learning) employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer, Data (Foundational Research, Machine Learning)
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning and AI research. Being well-versed in current trends and technologies will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the industry, especially those working at Thomson Reuters or similar companies. Attend relevant conferences, webinars, or meetups to connect with potential colleagues and learn more about their experiences.
✨Tip Number 3
Showcase your hands-on experience with data pipeline orchestration tools and cloud-based platforms. If you have personal projects or contributions to open-source projects, be ready to discuss them in detail during your conversations.
✨Tip Number 4
Prepare to discuss how you can contribute to a collaborative environment. Think of examples from your past experiences where you successfully worked in teams, particularly in fast-paced or agile settings, as this aligns with the role's requirements.
We think you need these skills to ace Research Engineer, Data (Foundational Research, Machine Learning)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and data engineering. Emphasise your programming skills, experience with databases, and any projects that showcase your ability to innovate in a data-rich environment.
Craft a Compelling Cover Letter: Write a cover letter that reflects your curiosity and passion for machine learning. Discuss specific projects or experiences that demonstrate your problem-solving skills and how they align with the role at Thomson Reuters Labs.
Showcase Your Technical Skills: In your application, clearly outline your technical skills, especially in programming, debugging, and system design. Mention any experience with cloud-based platforms and data pipeline orchestration tools, as these are crucial for the role.
Highlight Collaborative Experience: Since the role involves working in a global team, include examples of past collaborative projects. Describe how you communicated with stakeholders and contributed to team success, showcasing your ability to work in fast-paced, agile environments.
How to prepare for a job interview at NLP PEOPLE
✨Show Your Curiosity
Demonstrate your curiosity and open-mindedness during the interview. Ask insightful questions about the company's projects and how they approach machine learning challenges. This shows that you're genuinely interested in their work and eager to contribute.
✨Highlight Relevant Experience
Be prepared to discuss your experience with applied machine learning and data engineering. Share specific examples of projects where you've designed and optimised data pipelines or worked with big data technologies, as this aligns closely with the role.
✨Communicate Clearly
Excellent communication skills are essential for this role. Practice explaining complex technical concepts in a simple way, as you may need to communicate with various stakeholders. This will showcase your ability to collaborate effectively within a diverse team.
✨Emphasise Your Self-Driven Attitude
Thomson Reuters Labs values a self-driven attitude. Be ready to share instances where you've taken initiative in your previous roles, whether it was leading a project or exploring new technologies. This will highlight your proactive nature and fit for their innovative environment.
