AI & LLM Engineer

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

About the Role

We are looking for a Generative AI & LLM Engineer to help build AI-driven automation solutions that improve how Funds data is processed, validated and delivered. This role focuses on practical application of AI, using Microsoft-based tools and platforms, to solve real business problems. You will work on automation initiatives that directly improve efficiency, data quality and turnaround times across large-scale content workflows. You don’t need long years of industry experience — we are more interested in your ability to apply modern AI technologies effectively and translate ideas into working solutions.

What You’ll Be Doing

• Helping design and build AI-powered automation solutions for Funds data workflows.
• Developing data science solutions using Microsoft AI and data platforms.
• Applying machine learning, natural language processing and rule-based approaches to automate data processing tasks.
• Building proofs of concept and working with engineers to move successful solutions into production.
• Collaborating with content, product and engineering teams to understand problems and deliver practical solutions.
• Contributing to projects that clearly improve capacity, accuracy or data timeliness.
• Learning Funds data structures, workflows and quality controls.
• Writing clean, efficient Python code and clearly documenting your work.
• Communicating results and insights to both technical and non-technical colleagues.

What We’re Looking For

Technical Skills

• 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.
• Interest in automation, data quality and operational efficiency.

Personal Qualities

• Problem‑solving mindset with a focus on practical outcomes.
• Curiosity and willingness to learn new tools and domains.
• Comfortable working in a collaborative team environment.
• Able to explain technical work in clear, simple terms.

Qualifications

• 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.
• Strong interest in applying AI to improve real‑world processes.

Career Stage

Senior Associate

Compensation Information

LSEG is committed to offering competitive Compensation and Benefits. The anticipated annual gross base salary for this position is between 142,900 zł - 226,100 zł. Please be aware base salary ranges may vary by geographic location. In addition to our offered base salary, this role is eligible for our Annual Bonus Plan (“bonus plan”). Target Bonus % will be commensurate with role level and posted career stage. Individual salary will be reflective of job‑related knowledge, skills and equivalent experience.

Benefits Information

LSEG roles (excluding internships) are typically eligible for inclusion in our LSEG Benefits program. To view the benefits available for the role you're applying for, please click here. This document provides a list of benefits by country. Simply click on the country where the role is based to view the relevant details. If you have specific questions or would like further details, these can be discussed during your interview.

LSEG Information

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

LSEG (London Stock Exchange Group) is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential. Our Data & Analytics, Capital Markets and Post Trade divisions have a combined power that provides a comprehensive, integrated suite of trusted financial market infrastructure services to help our customers pursue their ambitions. Explore our divisions LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across Europe, the Middle East, Africa, North America, Latin America and Asia Pacific. Find out more Get to know some of our people who are pushing the boundaries of technology, finance and more around the world.