Fact Set creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.

At Fact Set, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations.

Your Team’s Impact

Portfolio Vault serves Asset Managers and Asset Owners as a centralised solution for storing, locking, and reporting portfolio returns and analytics. Designed to be a single source of truth, it ensures consistent and reliable data across the organisation.

By joining our team of skilled Java Engineers, you’ll become part of an Agile, collaborative environment that fosters growth and innovation. You’ll also have the unique opportunity to work alongside an active Machine Learning community, gaining hands-on mentorship and development support.

As a Machine Learning Engineer, your goal will be to thoughtfully integrate LLMs and other AI techniques into our products and internal processes. Rather than introducing LLMs by default, you will aim to apply them where they add real value, enhancing existing capabilities, enabling new use cases or improving team productivity.

This position is based in Paris, allowing you to work alongside established machine learning teams and benefit from collaborative synergies in this location.

Technical stack: Java JDK 21,Vue.JS, Kubernetes, Fact Set.io, AWS, Redis, MCP, Agentic workflows, RAG, SQL.

What You’ll Do

Prompt Engineering

• Design effective prompts to maximise AI utility

• Develop prompt guidelines and best practices for the team

• Design and optimise AI prompts

• Develop prompt guidelines and best practices

• Leverage MCP tooling for prompt management and experimentation

• Architect and deploy agentic workflows

• Test and evaluate prompt effectiveness in complex scenarios

• Share knowledge and train team members in prompt engineering

• Collaborate with cross-functional teams on AI-driven solutions

Technical Excellence

• In collaboration with agentic tooling (Claude Code, Cursor, Copilot), help your team to manage the entire software development lifecycle, from the initial design and coding to testing and the deployment of applications

• Deploy and support ML-driven agentic solutions

• Write and deliver clean, thoroughly tested code that is reliable, maintainable, and scalable

Cross-Functional Collaboration

• Work closely with engineering and product teams to ensure adherence to best practices

• Foster clear communication and teamwork to efficiently execute complex projects

Leadership

• Coach a team of experienced engineers, helping them to improve their productivity

• Bring your experience, promoting a culture of innovation and continuous learning within the team

What We’re Looking For

• 1-2 Years experience with AI/ML and Python

• Master's degree in Computer Science or equivalent training

• Ability to articulate and quickly adopt development best practices

• Ability to build strong relationships and work with engineering peers to solve problems and overcome obstacles

• Familiarity with ML, NLP or GenAI (including RAG, Prompt Engineering, Vector DBs)

• Experience with Agentic workflows and MCP

• Familiarity with deep learning libraries (Keras, Py Torch, Tensorflow)

Nice to have

• Experience with Docker and AWS services

• Work experience on ML Ops

• Work experience with Jupyter Notebooks

• Familiarity with deep learning libraries (Keras, Py Torch, Tensorflow)

• Experience in software development in Java

• Familiarity with version control systems (Git)

• Database and SQL general knowledge (Postgres/SQL)

Company Overview:

Fact Set (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn.

At Fact Set, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.