Software Engineer - (Machine Learning Engineer) - Hybrid in City of London

At FactSet, 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.

The Software Engineer works with the team to develop a roadmap for management and growth of existing pipelines and infrastructure for serving ML and AI solutions. Work may include deployment and maintenance of models, databases, and applications in addition to support work on various AI/ML projects that include entity and topic modeling, semantic tagging/enrichment, information extraction, transfer learning, graph neural networks, and integration of Large Language Models into existing ML frameworks.

• Bring your experience within the team
• Manage and deploy various cloud-based infrastructure
• Participate in different projects as a software engineer
• Make sure to align with business needs
• Deliver clean, well-tested code that is reliable, maintainable, and scalable
• Deploy working solutions
• Develop dashboards and other visualizations for financial experts
• Ingest and analyse structured and unstructured data
• Develop processes for data collection, quality assessment, and quality control
• Deploy and maintain ML and NLP models
• Keep up to date / share your passions
• Stay up to date with state-of-the-art approaches and technological advancement
• Share your passion for science, ML, technology
• Collaborate with other Engineering teams

You have BS or MS in Computer Science or Mathematics related field.

You have 5+ years of working experience as a software engineer.

You have experience with AWS and cloud-based infrastructure.

You have familiarity with ML, NLP and GenAI (including RAG, Prompt Engineering, Vector DBs).

You have a successful history of writing production grade code and releasing in an enterprise environment.

You are a team player.

You have strong analytical skills.

You are fluent in English; you can communicate about complex subjects to non-technical stakeholders.

You are highly proficient in Python.

You are familiar with machine learning frameworks like sklearn and ML workflow.

You are familiar with NLP libraries and text preprocessing (nltk, SpaCy, etc.).

Experience with OpenAI, Llama, and other large language model frameworks.

Prior experience working with unstructured data (text content, JSON records) including feature engineering experience from unstructured data.

Working with Agile development practices in a production environment.

It is great if you have:

• Experience with AWS environment [SageMaker, S3, Athena, Glue, ECS, EC2]
• Experience with Agentic workflows and MCP
• Experience working with large volumes of data in a stream or batch processing environment
• Prior experience with Docker and API development
• Usage of MongoDB
• Familiarity with deep learning libraries (Keras, PyTorch, Tensorflow)
• Familiarity with big data tool chain (e.g. Pyspark, Hive)
• Experience with information extraction, parsing and segmentation
• Knowledge of ontologies, taxonomy resolution and disambiguation
• Experience in Unsupervised Learning techniques Density Estimation, Clustering and Topic Modelling
• Graph database experience (AWS Neptune, Neo4j)

FactSet is seeking a Software Engineer with experience in AWS cloud architecture, infrastructure deployment and maintenance. The Software Engineer will work with other engineers to serve applications with ML model implementations for NLP, classification and LLMs (Large Language Model). Necessary experience for this role would include knowledge of databases, APIs, Amazon Elastic Container Services (ECS) and other AWS services. This role is in the Data Solutions AI team and reports to the VP, Director of Engineering.

FactSet (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.

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