Hybrid AI & NLP Research Engineer

Thomson Reuters; Greater London; Hybrid; GBP 60,000 - 120,000; Full time

Benefits offered by this job

Hybrid work

Flexible policies

Career development

Mental health days

Tuition reimbursement

Job summary

Thomson Reuters Labs is seeking a Research Engineer to advance AI/ML capabilities that transform how legal, tax, accounting, and government professionals work globally. You will design, build, and deliver scalable ML solutions and data pipelines while collaborating with cross-functional and remote teams.

The role emphasizes agile delivery, innovation, and strong communication as you translate research into production-ready software.

Qualifications

• Bachelor’s degree in Computer Science or related field.
• At least 2 years software engineering experience, ML/NLP.
• Proficient in Python and data science stacks.
• Ability to deploy ML into production systems.
• Familiarity with NLP tasks like NER, Information Extraction, IR.

Responsibilities

• Develop and Deliver: participate in the full software lifecycle to design, build, test and deliver high-quality solutions.
• Build Scalable ML Solutions: create large-scale data pipelines and scalable ML systems in large delivery environments.
• Be a Team Player: collaborate with cross-functional and remote teams.
• Be an Agile Person: work in a fast-paced, dynamic environment and deliver timely solutions.
• Be Innovative: propose new approaches and end-to-end solutions.
• Be an Effective Communicator: clearly articulate ideas with cross-functional partners.

Skills

Python

ML/NLP

AWS

Azure

NER

Information Retrieval

Data pipelines

Code quality

Team collaboration

Automation

Education

Bachelor's degree in CS or related field

Tools

Numpy

Pandas

spaCy

scikit-learn

Scipy

Job description

Thomson Reuters Labs is seeking a Research Engineer to advance AI/ML capabilities that transform how legal, tax, accounting, and government professionals work globally. You will design, build, and deliver scalable ML solutions and data pipelines while collaborating with cross-functional and remote teams.

The role emphasizes agile delivery, innovation, and strong communication as you translate research into production-ready software.