Lead Research Engineer

Refinitiv; London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading company is seeking a passionate Lead Research Engineer with expertise in AI and ML. You will provide technical leadership, develop scalable solutions, and work in a collaborative environment to drive innovation and transformation.

Benefits

Flexible vacation

Mental Health Days

Tuition reimbursement

Employee incentive programs

Work from anywhere for up to 8 weeks

Qualifications

• Significant software engineering experience.
• Experience leading technical workstreams.
• Familiar with probabilistic models.

Responsibilities

• Provide technical leadership and improve methodology.
• Develop scalable ML solutions and data processing pipelines.
• Collaborate in a team-oriented environment.

Skills

Python

Machine Learning

Software Engineering

DevOps

Communication

Education

Bachelor's Degree in Computer Science

Tools

AWS

Azure

Numpy

Scipy

Pandas

spaCy

NLTK

scikit-learn

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 amember of Thomson Reuters Labs you will haveadirect impact on our companybyhelping to create newand 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 aLead Research Engineer, you will:

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

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

Build Scalable ML Solutions:You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You willdevelophigh performing scalablesystems in the context of large online delivery environments.

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.

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.

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.

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:

A Bachelor's Degree in Computer Science or Related Field.

Significant software engineering experience.

Demonstrable experience working on a Machine Learning related product or solution.

Have experience leading technical workstreams within a software engineering organization.

Are skilled and have a deep understanding of Python software development stacksand ecosystems, experience with other programming languages and ecosystems is ideal.

Can understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems.

Are familiar with the Python data science stack through exposure to libraries such as Numpy , Scipy , Pandas, Dask , spaCy , NLTK, scikit-learn.

Take pride in writing clean, reusable, maintainable and well-tested code.

Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform).

Proficient in system analysis and design& Consider DevOps and automation as fundamental pillars of your work.

Have a desire to learn and embrace new and emerging technology.

Are familiar with probabilistic models and understand the mathematical concepts underlying machine learning methods.

Have experience leading and/or mentoring teams.

Have experience providing guidance around roadblocks for team .

Have experience providing updates to internal stakeholders.

Preferred skills & experience:

Experience integrating Machine Learning solutions into production-grade softwarewith a sound understanding of ModelOps and MLOps principles and the ability to translate between language and methodologies used both in research and engineering fields

Had previous exposure to Natural Language Processing (NLP) problems and are familiar with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.

Have been successfully taking and integrating Machine Learning solutions to production-grade software

#LI-AK2

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 .

Thomson Reuters informs the way forward by delivering trusted content and technology that professionals and institutions need to make the right decisions. We are modernizing the pillars of society through the digitalization of the tax and legal professions, the free press, commerce, and the rule of law, and elevating the way professionals and institutions work.

Discover how Thomson Reuters approaches AI innovation as Chief Product Officer David Wong breaks down the essential components.