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

Energy Jobline ZR; City Of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A global financial technology firm is seeking a Software Engineer to join the DSAI team. The role involves building systems that enrich financial data and requires 4+ years of experience in software engineering, proficiency in Python and TypeScript, and expertise in API design. The company offers great benefits, flexible work accommodations, and a commitment to employee well-being.

Benefits

Health, life, and insurance benefits

Retirement savings plans

Paid time off for holidays

Flexible work accommodations

Career progression planning

Qualifications

• 4+ years of software engineering experience required.
• Proficiency with API design.
• Strong technical writing and presentation skills.

Responsibilities

• Build new systems to ingest and enrich data into an ontology.
• Evaluate new large models, tools, and AI engineering techniques.
• Partner with product leads to identify technical requirements.

Skills

Proficiency in Python

Proficiency in TypeScript

API design

Technical writing

Relational databases

Education

Bachelor's degree in computer science or similar

Tools

AWS

Heroku

GitHub

Job description

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job Description

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.

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 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 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

• 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 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.
• Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging. Learn more about our benefits here.

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

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.