Overview
Skills
Job Details
Job Title: Machine Learning Engineer
You will need to currently be based in NY (or commutable distance) No relocation candidates unfortunately
We're working with a fast-paced, innovation-focused team within a leading global financial services firm that's building cutting-edge AI applications from the ground up. This is an opportunity to work on entirely greenfield projects, no maintenance, no legacy systems, in a team that feels more like a start up than a traditional corporate environment.
About the Role
As a Machine Learning Engineer, you'll be part of a small, growing team building internal AI-powered tools that directly improve how teams across the business operate. You'll speak directly with users, identify pain points, and develop real solutions, not just models, but actual products.
This role is about engineering first and foremost, building scalable, intelligent systems with a strong foundation in software development. You'll have the freedom to experiment, the backing of a major financial institution, and the agility of a start up.
What You'll Do:
Build ML-driven internal applications from scratch- all greenfield development
Collaborate directly with internal teams to understand their needs and translate them into practical AI tools
Apply LLMs and classical machine learning methods to real-world problems
Design, develop, and deploy robust, scalable systems in a flat, collaborative team
The Person:
Ideally 2-10 years of experience in software engineering or machine learning (could be flex)
- You should currently be developing real-world applications using ML, not solely performing data science
Strong understanding of mathematics, statistics, and ML concepts
Comfortable building full products, not just writing models or code snippets
Experience in start ups or lean teams is a big plus
Python experience preferred, but open to other languages
Passionate about LLMs, AI, and building tools that make work more effective
Why This Role?
All greenfield: no maintenance, no legacy
Start up feel with the resources of a major firm
A flat team structure: no titles, no silos, just builders
High impact, real ownership, and the chance to shape how AI is used in a traditionally non-tech environment
To speak in absolute confidence about this opportunity please send an up to date Resume via the link. Where possible please add a note on which requirements you meet on the description.