Senior Applied Scientist, Knowledge Graphs & ML

PowerToFly; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading technology company in Greater London is seeking a Senior Applied Scientist to leverage knowledge graphs and machine learning for innovative solutions in risk and fraud sectors. This hybrid role involves conducting experiments and translating complex problems into actionable AI applications. Candidates should hold a PhD or Master's with relevant experience, possess strong communication skills, and have expertise in NLP and graph ML techniques. This position offers competitive benefits and a flexible work environment.

Benefits

Flexible hybrid working environment

Comprehensive benefits plans

Career development initiatives

Two paid volunteer days annually

Qualifications

• PhD in a relevant discipline or Master’s plus a comparable level of research experience.
• Demonstrable hands-on industry experience building NLP/ML/Knowledge Graph systems.
• Deep knowledge of modern NLP methods and active experimentation with GenAI techniques.

Responsibilities

• Design and execute experiments that answer critical research questions.
• Own and manage end-to-end knowledge graph experimentation and development.
• Work with stakeholders to define scope and translate business objectives into technical requirements.

Skills

NLP methods

Graph ML

Python coding

Problem-solving skills

Communication skills

Education

PhD in relevant discipline

Master's degree with equivalent experience

Tools

Git

Cloud technologies

Job description

A leading technology company in Greater London is seeking a Senior Applied Scientist to leverage knowledge graphs and machine learning for innovative solutions in risk and fraud sectors. This hybrid role involves conducting experiments and translating complex problems into actionable AI applications. Candidates should hold a PhD or Master's with relevant experience, possess strong communication skills, and have expertise in NLP and graph ML techniques. This position offers competitive benefits and a flexible work environment.