Generative AI & LLM Engineer for Funds Data

London Stock Exchange Group; Gdynia; On-site; PLN 143,000 - 226,000; Full time

Job summary

London Stock Exchange Group is seeking a Generative AI & LLM Engineer to build AI-driven automation for Funds data processing, validation and delivery. You’ll apply Python, ML and Microsoft AI platforms to real business problems, designing proofs of concept and moving successful solutions to production.

Senior Associate role with a focus on practical outcomes, collaboration with content, product and engineering teams, and a strong emphasis on data quality and operational efficiency.

Qualifications

• Degree in data science, CS, engineering or related field.
• Relevant experience through jobs, internships or projects.
• Interest in applying AI to real-world processes.

Responsibilities

• Design and build AI-powered automation for Funds data workflows.
• Develop data science solutions using Microsoft AI platforms.
• Apply ML, NLP and rule-based approaches to automate data processing tasks.
• Build proofs of concept and move successful solutions into production.
• Collaborate with content, product and engineering teams to understand problems and deliver practical solutions.
• Contribute to projects that improve capacity, accuracy or data timeliness.

Skills

Python for data analysis / ML

AI/ML techniques on real datasets

Microsoft AI technologies (Azure ML, A

Education

Degree in Data Science, CS, Engineering, Math, Statistics or related field

Tools

Azure Machine Learning

Microsoft Fabric

Azure AI Services

Job description

London Stock Exchange Group is seeking a Generative AI & LLM Engineer to build AI-driven automation for Funds data processing, validation and delivery. You’ll apply Python, ML and Microsoft AI platforms to real business problems, designing proofs of concept and moving successful solutions to production.

Senior Associate role with a focus on practical outcomes, collaboration with content, product and engineering teams, and a strong emphasis on data quality and operational efficiency.