Senior Machine Learning Engineer (UK)

Pave FinTech (formerly Portify) is looking for a Senior Machine Learning Engineer to join its growing Data Science team.

At Pave we are developing exciting technologies with the goal of eliminating financial inequality. Our Direct-to-Consumer product offers a new way to build credit health through a simple subscription service, but we’re not content with stopping there… We are currently building out Business-to-Business products that will change the way businesses collect revenue, how customers manage their bills, and the future of credit building as we know it.

We’re looking for vibrant, forward-thinking individuals to join us on our journey!

Role Description
As a Senior Machine Learning Engineer at Pave you will have a unique opportunity to use open-banking, credit-history, and app-usage data to generate predictive models and insights that can be used to transform the future of credit decisioning. Far from being an afterthought, our Data Science team lies at the centre of the business.  Pave is a place where you can make a big difference on day one and create real value to the business and ultimately the customer.

Responsibilities
In the next 12 months you will:
- Research and develop improvements to our open-banking transaction enrichment pipeline
-Lead new projects that improve the capabilities of our open-banking enrichment pipeline (such as transaction categorisation, merchant tagging, and balance prediction)
- Work as part of the team on downstream tasks like credit risk modelling and fraud detectionImplement, monitor and maintain models in our AWS production environment

Interview Process
There are 3 stages to for you to get to know Pave and help us determine if you’re a great fit:

Stage 1: An introductory phone call with members of our Data Science team to run through your experience and ambitions;

Stage 2: A follow-up take home technical interview with our Data Science team;

Stage 3: A final values based interview with our CEO, Sho.

Benefits
- Flexible-, remote- and office-working
- The ability to work remotely abroad for up to 20 working days a year
- A free subscription to Pave Plus
- Private healthcare insurance with Vitality
- ClassPass Membership
- 3% Pension Contribution
- Season-ticket loan and cycle-to-work scheme
- Carbon offsetting
- 25 days holiday + 3 days off during Christmas and NY
- Learning & Development budget

Salary
Salary - £75k - 95k 

Equity: 0.0% - 0.1%

We can sponsor visas for this role
Please note: We will make competitive offers tailored to each individual

Hybrid Working
We offer all team members a fully flexible working approach, however you want to work is cool with us and each has their own perks. But don’t worry, we still bring the team together in-person through routine offsites.