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- Tasks: Develop and implement AI solutions to solve real-world business challenges.
- Company: Join Thomson Reuters, a leader in trusted content and technology.
- Benefits: Enjoy flexible vacation, mental health days, and comprehensive health plans.
- Other info: Flexible hybrid work model and strong focus on career development.
- Why this job: Make a real impact while learning from industry experts in a dynamic environment.
- Qualifications: PhD or Master’s in Computer Science with hands-on machine learning experience.
The predicted salary is between 60000 - 80000 £ per year.
As an Applied Scientist, you will develop and implement machine learning and AI solutions to address business problems across Thomson Reuters' legal, tax, and regulatory domains. Working with guidance from senior team members, you will design experiments, build models, and translate research into production-ready features. This role involves strong collaboration with product and engineering teams to deliver measurable impact for customers. You will learn from deep domain experts about a variety of complex and interesting real-world problems.
About You
- PhD or Master’s degree in Computer Science, Machine Learning, or a related field
- 1-2 years of hands-on experience building systems using modern techniques in information retrieval, NLP, machine learning, or generative AI (examples include deep learning, transformer architectures, hybrid search, dense retrieval, vector databases, or agentic systems)
- Strong programming skills in Python and familiarity with a modern ML framework (PyTorch, JAX, DeepSpeed, or similar)
- Experience working with shared codebases and version control systems
- Familiarity with cloud development environments (AWS, Azure, or GCP)
- Strong communication and problem-solving skills, with the ability to work effectively across functions
- Experience implementing and evaluating solutions with large language models and LLM evaluation frameworks (e.g., OpenAI Evals, HELM, LM Harness, or custom tools)
- Experience with retrieval-augmented generation (RAG), tool-using agents, and agentic frameworks
- Publications or preprints in relevant venues (NeurIPS, ACL, EMNLP, ICLR, SIGIR)
- Experience with production code and MLOps practices
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. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
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. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
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.
Applied Scientist in London employer: Refinitiv
Contact Detail:
Refinitiv Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in your field, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your projects. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your skills through personal projects or contributions to open-source. This not only demonstrates your expertise but also gives you something tangible to discuss during interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Applied Scientist in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Applied Scientist role. Highlight your relevant experience in machine learning and AI, and don’t forget to mention any specific projects or publications that align with what we do at Thomson Reuters.
Showcase Your Skills: We want to see your programming prowess! Be sure to include your strong Python skills and any experience with ML frameworks like PyTorch or JAX. If you've worked with cloud environments, give us the details – it’ll make your application stand out!
Be Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point while showcasing your problem-solving abilities.
Apply Through Our Website: Don’t forget 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’s super easy to do!
How to prepare for a job interview at Refinitiv
✨Know Your Stuff
Make sure you brush up on the latest trends in machine learning and AI, especially those relevant to the legal and regulatory domains. Be ready to discuss your hands-on experience with techniques like NLP and generative AI, as well as any projects you've worked on that showcase your skills.
✨Showcase Collaboration Skills
As an Applied Scientist, you'll be working closely with product and engineering teams. Prepare examples of how you've successfully collaborated in the past, whether it was through shared codebases or cross-functional projects. Highlight your communication skills and problem-solving abilities.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your programming skills, particularly in Python and modern ML frameworks. Brush up on your knowledge of cloud environments like AWS or Azure, and be ready to discuss your experience with MLOps practices and large language models.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask thoughtful questions about the team, the projects you'll be working on, and the company culture. This shows your genuine interest in the role and helps you determine if it's the right fit for you.