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Thomson Reuters

Manager, Research Engineering (Foundational Research)

Reposted 2 Days Ago
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Hybrid
London, Greater London, England, GBR
Senior level
Hybrid
London, Greater London, England, GBR
Senior level
Lead and grow a research engineering team building and productionizing LLM and ML capabilities. Own delivery of business-critical features, collaborate with applied scientists, drive infrastructure and MLOps initiatives, recruit and mentor engineers, and promote best practices for large-scale model training, deployment, and evaluation.
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Manager, Research Engineering, Foundational Research

Join a cutting-edge research team working to deliver on the transformation promises of modern AI. We are seeking a Manager, Research Engineering with the skills and drive to manage a top performing Engineering team focused on developing the latest in LLM and Machine Learning capabilities.

Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs).

Our focus areas are:

  • LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques)

  • Post-training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test time compute, CoT pipelines, tool use & API calling, etc.)

  • Data-centric Machine Learning (Synthetic data, curriculum learning, learned data mixtures, etc.)

  • Evaluation (Benchmarking best practices, humans/LLMs as a judge, red teaming/adversarial testing, hallucination detection, etc.)

As Manager of Research Engineering, you are both a technical leader and a people manager. Key responsibilities include the technical direction of production services, close partnership with technology partners across the enterprise, and responsibility for the recruiting, career growth and mentorship of Foundational Research Engineers. Managers provide technical guidance on medium, yet complex projects in close collaboration with the research arm of Labs. This role also identifies and collaboratively advocates for the adoption of industry best practices around well-managed software delivery. 

About the Role 
In this opportunity as Manager of Research Engineering, you will: 

  • Foster a culture of innovation, growth, and continuous improvement 

  • Own the delivery of business-critical features for high value, customer facing applications 

  • Promote efficient collaboration between scientists and engineers on a project basis   

  • Operate with urgency and manage change at a rapid pace 

  • Coach engineering leads within the team 

About You 
You're a fit for the role of Manager of Research Engineering if your background includes: 

  • A bachelor's degree in information technology, computer science, or the equivalent. Master’s or PhD in a relevant specialization preferred. 

  • Minimum of 7 years' software development experience, with minimum 3 years of demonstrated experience successfully managing software development teams in an agile environment.

  • Experience spearheading technical development in a cross-functional setting, with responsibility for ML applications; close partnership with Applied Scientists, R&D groups, or similar. 

  • A portfolio showcasing significant contributions to technology innovation 

  • Excellent project management, organization and communication skills 

  • Experience contributing to and overseeing large-scale rollouts and infrastructure initiatives. 

  • Expertise in several of the following areas: robust python development, MLOps, containerization, cloud infrastructure (AWS and Azure), advanced search and recommendation technology, orchestration of ML pipelines for real-time inference, microservices architecture, model monitoring and governance. 

#LI-SB1

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. 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, 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 (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.

  • Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

  • Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

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.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.

Learn more on how to protect yourself from fraudulent job postings here.

More information about Thomson Reuters can be found on thomsonreuters.com.

Top Skills

Advanced Search And Recommendation
AWS
Azure
Containerization (Docker/Kubernetes)
Distributed Training
Knowledge Graphs
Large Language Models (Llms)
Microservices
Mlops
Model Monitoring And Governance
Orchestration Of Ml Pipelines
Python
Reinforcement Learning

Thomson Reuters London, England Office

5 Canada Square, London, United Kingdom, E14 5AQ

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