Lead Research Engineering for LLM Foundations

Thomson Reuters; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model

Flexibility & work-life balance

Career development and growth

Industry competitive benefits

Social impact opportunities

Job summary

A leading global information provider in Greater London seeks a Manager, Research Engineering to drive a high-performing team in LLM and machine learning. The role involves overseeing software delivery, mentoring engineers, and collaborating on innovative projects. Ideal candidates have significant software development and leadership experience, ideally with a background in Python, MLOps, and cloud infrastructure. The company offers a hybrid work model, career development, and competitive benefits, encouraging a culture of inclusion and work-life balance.

Qualifications

• Minimum of 7 years' software development experience.
• Minimum 3 years managing software development teams in an agile environment.
• Experience spearheading technical development in a cross-functional setting.

Responsibilities

• Provide technical direction for production services.
• Recruit, mentor, and manage Research Engineers.
• Deliver business-critical features for customer-facing applications.

Skills

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

Education

Bachelor's degree in information technology or computer science

Master’s or PhD in relevant specialization

Job description

A leading global information provider in Greater London seeks a Manager, Research Engineering to drive a high-performing team in LLM and machine learning. The role involves overseeing software delivery, mentoring engineers, and collaborating on innovative projects. Ideal candidates have significant software development and leadership experience, ideally with a background in Python, MLOps, and cloud infrastructure. The company offers a hybrid work model, career development, and competitive benefits, encouraging a culture of inclusion and work-life balance.