AI/ML Engineer

About Afternoon

Afternoon Finance is an embryonic SaaS startup bursting with energy, ambition, & an encapsulating vision to become the #1 platform used by financial advisors globally. This is not just a job, this is a chance to be part of something truly groundbreaking from the very beginning. At the core of it, Afternoon are looking to disrupt the financial advisory world by reinventing the way such firms work - creating their AI-first operating model for financial advisors.

The Afternoon team has been working for years developing unique expertise in Open Banking, data enrichment, fintech, AI/ML, data science, & UX. The founding team have proven expertise in this realm, as they are the people behind Nude Finance - the award-winning fintech app offering lifetime ISA products. This prior experience has already aided them in their short journey; helping them to over-achieve their initial goal in their first round of investment, with backing from industry experts.

What sets Afternoon apart is that they are automating data collection from any source into a single, up-to-date view that's accurate & reliable. Automating & integrating each advisor process based on quality data, working in seconds and finding insights we as humans cannot keep up with - allowing specific AI modules for each task across data capture, turning 3 hours of work to 3 minutes.

The opportunity

This role is a truly unique opportunity to become the 2nd AI engineer / data scientist within a well-funded, visionary startup doing ground-breaking greenfield work. This hire will be sitting between the Chief AI Officer & CTO (from a technical point of view, rather than seniority), working closely with both, doing a mixture of data science work building models & software engineering / writing code.

You will take models from concept all the way to production, build scalable pipelines, & shape real products, not just proofs-of-concept. The vital thing for this role is that the successful candidate will be putting their pipelines & models into production. As such this person must have demonstrable experience of shipping models into live production environments.

The person - what we're looking for - you could come from a couple of different career backgrounds:

• A software engineer who has moved into data science / ML engineering over the last few years & become obsessed with AI

• A data scientist / ML Engineer who has been frequently putting their models into production & has Python, FastAPI, & Pydantic expertise / familiarity.

The technical requirements:

• Experience developing & deploying NLP models (LLMs, NERs, transformers, classifiers, embedders) from scratch to production; with additional Hugging Face ecosystem experience.

• Alternatively, candidates from Computer Vision or Tabular Data background will still be considered.

• Familiarity with structured data extraction / image recognition (eg, OCR or VLMs).

• Writing clean, maintainable, & well-structured code in Python (pydantic, dataclasses).

• Building APIs with FastAPI.

• Experience building synthetic data pipelines or working with reinforcement learning or unsupervised / semi-supervised learning is not required but very impressive!

Does this sound as exciting to you as it does to us? Let's talk!

For more information or to mark an application, please contact our retained recruitment partners at Eden Scott at afternoon@edenscott.com or www.edenscott.com/afternoon-finance for more information.