Lead Research Engineer, Machine Learning

2 days ago

London, United Kingdom Aitopics Full time

Thomson Reuters empowers professionals with cutting-edge technology solutions informed by industry-leading content and expertise.
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 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. In this opportunity as a Lead Research Engineer, you will:
# Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and 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 will develop high performing scalable systems in the context of large online delivery environments.
# 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.
# You are a fit for the Lead Research Engineer role if your background includes:
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.
# Experience leading technical workstreams within a software engineering organization.
# Deep understanding of Python software development stacks and ecosystems; experience with other programming languages and ecosystems is ideal.
# Ability to understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems.
# Familiarity 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.
# 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.
# Familiarity with probabilistic models and understanding of the mathematical concepts underlying machine learning methods.
# Experience integrating Machine Learning solutions into production-grade software with a sound understanding of ModelOps and MLOps principles.
# Previous exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
# Experience successfully taking and integrating Machine Learning solutions to production-grade software.

You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:
Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role).
flexible and supportive benefits for work-life balance; flexible vacation; retirement, savings, tuition reimbursement, and employee incentive programs.
Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
internal Talent Marketplace with opportunities to work on projects cross-company.
Purpose Driven Work: We help our customers pursue justice, truth and transparency.
Do you want to be part of a team helping re-invent the way knowledge professionals work? Accessibility: As a global business, we rely on diversity of culture and thought to deliver on our goals.
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