Join a pioneering fintech platform as the first ML Engineer, transforming private capital markets. You'll replace a 'Wizard of Oz' MVP with a scalable, enterprise-grade Sovereign AI Architecture, defining how data is exchanged for the next decade. This role involves building a real-time Deal Graph and agentic AI workflows for M&A.
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London, United KingdomNot Disclosed
Founding ML Engineer at VC-backed fintech platform
Are you a visionary ML Engineer ready to define the future of private capital markets? A pioneering fintech platform is seeking its Founding ML Engineer to build the infrastructure that digitizes M&A deals, moving beyond manual processes to create the world's first real-time Deal Graph. This is a rare opportunity to secure significant equity, lead the technical vision, and transform an entire asset class with cutting-edge, enterprise-grade AI architecture. If you thrive on building from scratch and solving complex data challenges, this role is for you.
Overview
Role overview
Company
About the company
VC-backed fintech platform
Responsibilities
What you will do
- Design and build a 'Sovereign' AI architecture ensuring customer data isolation while feeding a global, anonymized Deal Graph.
- Develop Agentic AI workflows capable of ingesting data rooms (PDFs/Excel) to reason about businesses and draft comprehensive investment memos.
- Architect a robust Knowledge Graph linking key entities (People, Deals, Companies, Buyers) to transform unstructured data into structured 'Alpha.'
Candidate profile
Who this is a fit for
- A '0 to 1' builder with a proven track record of creating complex products from inception, comfortable with ambiguity.
- Privacy-obsessed, understanding the critical importance of data security in M&A, with experience in 'Paranoid Architecture' (RBAC, encryption, SOC2).
- Pragmatic engineer focused on reliability from existing models (RAG, Prompt Engineering, Fine-Tuning), not solely on training new LLMs.
What makes it remarkable
Why this role is remarkable
- Join a pioneering platform with validated enterprise pilots before hiring, ensuring strong product-market fit.
- Build a proprietary data asset, the 'Deal Graph,' creating a significant moat and increasing value with every user.
- Secure significant equity at the ground floor of a category-defining product in the fintech infrastructure space.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 14 million jobs daily and introduces you directly to hiring managers.
How does this work?
Jack's an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
Jack