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LSEG

Global financial market infrastructure and data

Generative AI & LLM Engineer

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeGdynia, PolandIn-person

About the Job

Requirements

  • Experience using Python for data analysis, automation, or machine learning.
  • Hands-on exposure to AI or machine learning techniques applied to real datasets.
  • Familiarity with Microsoft AI technologies such as Azure Machine Learning, Azure AI Services, or Microsoft Fabric.
  • Experience preparing data and evaluating model performance.
  • A degree or equivalent experience in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • Relevant experience through employment, internships, academic projects, or personal projects.

Responsibilities

  • Help design and build AI-powered automation solutions for Funds data workflows.
  • Develop data science solutions using Microsoft AI and data platforms.
  • Apply machine learning, natural language processing, and rule-based approaches to automate data processing tasks.
  • Build proofs of concept and work with engineers to 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.
  • Learn Funds data structures, workflows, and quality controls.
  • Write clean, efficient Python code and document the work.
  • Communicate results and insights to technical and non-technical colleagues.

About the Company

LSEG

Global financial market infrastructure and data

LSEG provides global financial market infrastructure and data across the full value chain. It delivers data, analytics, and risk-management tools, benchmarks via FTSE Russell, regulatory and financial crime risk services, and trading, clearing, and settlement through its Capital Markets and Post Trade divisions, typically accessed via subscriptions, licensing, and fees. The company differentiates itself by offering an integrated, end-to-end platform that covers pre-trade data and analytics to post-trade processing with a broad, global footprint. Its goal is to grow over the long term by leveraging its diversified portfolio and international reach to create value for shareholders and customers.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1801

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