Software Engineer – Machine Learning Engineer – Hybrid
Efinancialcareers

London
•2 hours ago
•No application
About
FactSet 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 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. 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. 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. What will you be doing? Bring your experience within the team Manage and deploy various cloud-based infrastructure Participate to different projects as a software engineer Manage cloud infrastructure Make sure to align wit



