Lead Research Engineer

TRSS; London; Hybrid; GBP 60,000 - 100,000

Job description

Do you love creating innovative solutions for customers?

We are seeking a passionate Lead 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, we build, we 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 Lead 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 think in code and likes to learn and develop new skills as they are needed; someone comfortable with jumping into new problem spaces; who enjoys directing and supporting the efforts of others.

Is this you? Come join us!

About the Role

In this opportunity as a Lead Research Engineer, you will:

1. Be a Leader: Provide technical leadership partnering with other engineers to develop and improve methodology and evolve the technology stack.

2. Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions.

3. 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.

4. Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams.

5. 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.

6. 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.

7. 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

You are a fit for the Lead Research Engineer role if your background includes:

Essential skills & experience:

1. A Bachelor's Degree in Computer Science or Related Field.
2. Significant software engineering experience.
3. Demonstrable experience working on a Machine Learning related product or solution.
4. Experience leading technical workstreams within a software engineering organization.
5. Deep understanding of Python software development stacks and ecosystems; experience with other programming languages and ecosystems is ideal.
6. Ability to understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems.
7. Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn.
8. Commitment to writing clean, reusable, maintainable and well-tested code.
9. Proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform).
10. Proficient in system analysis and design; consider DevOps and automation as fundamental pillars of your work.
11. Desire to learn and embrace new and emerging technology.
12. Familiarity with probabilistic models and understanding of the mathematical concepts underlying machine learning methods.
13. Experience leading and/or mentoring teams.
14. Experience providing guidance around roadblocks for the team.
15. Experience providing updates to internal stakeholders.

Preferred skills & experience:

1. Experience integrating Machine Learning solutions into production-grade software with a sound understanding of ModelOps and MLOps principles.
2. Exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
3. Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).

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. Backed by our commitment to continuous learning and market-leading benefits, you’ll be prepared to grow, lead, and thrive in an AI-enabled future. This includes:

1. Industry-Leading 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.
2. 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, and hybrid model, empowering employees to achieve a better work-life balance.
3. 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 skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
4. Culture: Globally recognized and award-winning reputation for inclusion, innovation, and customer-focus. Our eleven business resource groups nurture our culture of belonging across the diverse backgrounds and experiences represented across our global footprint.
5. 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.
6. 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.

Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

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 that celebrate diversity and inclusion. 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.

Accessibility

As a global business, we rely on diversity of culture and thought to deliver on our 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/Affirmative Action 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.