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- Tasks: Join us as a Senior Research Engineer to innovate AI and ML solutions.
- Company: Thomson Reuters Labs is a leader in applied research and technology development.
- Benefits: Enjoy a hybrid work model, mental health days, and comprehensive wellbeing resources.
- Why this job: Make a real impact while working in a diverse, inclusive culture focused on growth.
- Qualifications: Bachelor's in Computer Science, 5 years of software engineering experience, and strong Python skills required.
- Other info: Be part of a global team dedicated to transforming industries through technology.
The predicted salary is between 43200 - 72000 £ per year.
Do you love creating innovative solutions for customers? We are seeking a passionate Sr Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that drive transformation. As a member of Thomson Reuters Labs, you will have a direct impact on our company by helping to create new and innovative capabilities that will delight our customers.
What does Thomson Reuters Labs do? We experiment, build, and deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates 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 various 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 think in code, enjoys learning and developing new skills, and is comfortable with exploring new problem spaces; someone who can also support and guide others. Is this you? Come join us!
About the Role
- Develop and Deliver: Apply modern software development practices to be involved in the entire software development lifecycle, building, testing, and delivering high-quality solutions.
- Build Scalable ML Solutions: Create large-scale data processing pipelines to help researchers build and train novel machine learning algorithms. Develop high-performing, scalable systems in large online delivery environments.
- Be a Team Player: Share information, value diverse ideas, and collaborate with cross-functional and remote teams in a team-oriented environment.
- Be an Agile Person: Work efficiently in a fast-paced, dynamic environment to deliver timely solutions.
- Be Innovative: Try new approaches, learn new technologies, contribute ideas, create solutions, and be accountable for end-to-end deliveries.
- Be an Effective Communicator: Engage dynamically with cross-functional partners and team members, articulating ideas clearly and collaborating on technical developments.
About You: You are a good fit if your background includes:
- Essential skills & experience: Bachelor’s Degree in Computer Science or a related field. At least 5 years of software engineering experience, ideally in machine learning and natural language processing. Strong proficiency in Python and familiarity with other programming languages and ecosystems. Ability to understand, apply, and deploy machine learning capabilities and techniques. Experience with Python data science libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn. Commitment to writing clean, reusable, maintainable, and well-tested code. Desire to learn and embrace new and emerging technologies. Understanding of probabilistic models and the mathematical concepts underpinning machine learning. Familiarity with Agile methodologies.
- Preferred skills & experience: Experience integrating machine learning solutions into production software and understanding of ModelOps and MLOps principles. Proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure. Previous exposure to NLP problems, including tasks like NER, Information Extraction, and Retrieval. Ability to translate between research and engineering language and methodologies. Experience deploying machine learning solutions into production environments. Familiarity with cloud computing platforms like AWS or Azure.
What’s in it for you? Join our inclusive culture of world-class talent, committed to your growth through:
- Hybrid Work Model: Flexible hybrid working environment with seamless digital and physical connectivity.
- Culture: Recognized for equality, diversity, inclusion, flexibility, and work-life balance.
- Wellbeing: Comprehensive benefits, mental health days, work-from-anywhere options, retirement plans, tuition reimbursement, and wellbeing resources.
- Learning & Development: Access to LinkedIn Learning, opportunity to work on cross-company projects, and networking events.
- Social Impact: Employee resource groups, volunteer days, and ESG initiatives.
- Purpose-Driven Work: Contribute to upholding justice, truth, and transparency globally.
Interested in helping reinvent how knowledge professionals work and creating a transparent, inclusive future? Join Thomson Reuters, a company with a 160-year legacy, serving legal, tax, accounting, and news industries worldwide. Be part of a diverse team of 26,000 employees across more than 70 countries, committed to objectivity and fairness.
Accessibility: We value diversity and inclusion, seeking talented employees regardless of race, gender, religion, disability, or other protected classes. We provide accommodations for qualified individuals with disabilities and religious beliefs, in accordance with law. More information about Thomson Reuters can be found on our website.
Senior Research Engineer employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning. Follow industry leaders on social media, read relevant research papers, and engage in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the AI and ML space, especially those who work at Thomson Reuters or similar companies. Attend industry conferences, webinars, or local meetups to make connections. A referral from someone within the company can significantly boost your chances of landing an interview.
✨Tip Number 3
Prepare to discuss your experience with scalable ML solutions and data processing pipelines. Be ready to share specific examples of projects you've worked on, the challenges you faced, and how you overcame them. This will showcase your problem-solving skills and technical expertise.
✨Tip Number 4
Demonstrate your ability to work in a team-oriented environment by highlighting collaborative projects in your discussions. Emphasise your communication skills and how you've successfully engaged with cross-functional teams to deliver results. This aligns well with the role's emphasis on teamwork.
We think you need these skills to ace Senior Research Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, ML, and software engineering. Emphasise your proficiency in Python and any experience with data science libraries, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for innovative solutions and how your background aligns with the responsibilities of a Senior Research Engineer. Mention specific projects or experiences that demonstrate your ability to develop scalable ML solutions.
Showcase Your Communication Skills: Since effective communication is key for this role, consider including examples in your application that illustrate your ability to collaborate with cross-functional teams and articulate complex ideas clearly.
Highlight Continuous Learning: Demonstrate your commitment to learning new technologies and methodologies. Mention any recent courses, certifications, or projects that showcase your adaptability and eagerness to grow in the field of AI and ML.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and machine learning libraries like Numpy, Pandas, and scikit-learn. Bring examples of projects where you've applied these skills, as this will demonstrate your technical proficiency and problem-solving abilities.
✨Emphasise Collaboration
Since the role requires working in cross-functional teams, highlight your experience in collaborative environments. Share specific instances where you successfully worked with diverse teams to achieve a common goal, showcasing your ability to communicate effectively.
✨Demonstrate Adaptability
The company values adaptable learners, so be ready to discuss how you've embraced new technologies or methodologies in your previous roles. Provide examples of how you've navigated changes in project requirements or technology stacks.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving skills. Practice coding challenges or case studies related to machine learning and data processing. This will help you articulate your thought process clearly during the interview.
