Software Engineer - (Machine Learning Experience a plus) - hybrid

FactSet Research Systems Inc.; City of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A financial data solutions provider is seeking a Software Engineer with proficiency in Python and TypeScript. The role involves building systems for data processing, monitoring performance, and collaborating across teams. Ideal for candidates with experience in generative AI and strong technical skills. The position is hybrid, offering great benefits including health insurance and career progression opportunities.

Benefits

Health insurance

Paid time off

Flexible work accommodations

Career progression planning

Qualifications

• 4+ years of software engineering experience required.
• Experience or interest in generative AI and related technologies.
• Familiarity with CI/CD concepts.

Responsibilities

• Build new systems to ingest and enrich data into an ontology.
• Monitor and enhance the accuracy and performance of our GenAI stack.
• Evaluate new large language models and AI engineering techniques.

Skills

Proficiency in Python

TypeScript or similar language

Strong technical writing

Presentation skills

API design proficiency

Relational databases familiarity

Education

Bachelor’s degree in computer science or similar

Tools

AWS

GitHub

Job description

Software Engineer - (Machine Learning Experience a plus) - hybrid page is loaded## Software Engineer - (Machine Learning Experience a plus) - hybridlocations: London, GBRtime type: Full timeposted on: Posted Todayjob requisition id: R29393FactSet 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.**Your Team's Impact**Join the DSAI team at FactSet, where our mission is to enrich data from across the company to enable it to be used in GenAI workflows. Core to the DSAI infrastructure is a knowledge graph that connects financial concepts to the data available at FactSet. Engineers on the team maintain and enhance a GenAI powered software stack that operates at the intersection of financial data, knowledge management, and data engineering.You will be working on a team in a fast-paced environment where you will have the opportunity to influence the design and architecture of the product. An ideal candidate for the role would be an individual that has experience or a strong interest in working with generative AI and related technologies. They will also have the confidence to meaningfully contribute to team meetings in order to help lead discussions and drive outcomes.**What You'll Do*** Build new systems to ingest and enrich data into an ontology.* Monitor and enhance the accuracy, performance, and observability of our GenAI RAG stack.* Evaluate new large language models, tools, and AI engineering techniques.* Improve query planning, optimization, and evaluation infrastructure.* Partner and collaborate with product development leads to identify technical requirements for future product enhancements.* Collaborate with teams across the organization to understand their data.**What We're Looking For****Required Skills*** Proficiency in Python, TypeScript, or similar language and its environment.* 4+ years of software engineering experience required* Proficiency with API design* Strong technical writing and presentation skills* Familiarity with relational databases and data modeling techniques.* Bachelor’s degree in computer science, computer engineering, or similar technical field or equivalent practical experience**Desired Skills*** Experience with Cloud platforms such as AWS or Heroku* Experience or knowledge of CI/CD concepts and GitHub* An interest in the financial services domain**What's In It For You**At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means:* The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up.* Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days.* Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives.* A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions.* Career progression planning with dedicated time each month for learning and development.* open to all employees that serve as a catalyst for connection, growth, and belonging. Learn more about our benefits .**Company Overview:**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. Learn more atand follow us onand. At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.