Description
We're on a mission to make money work for everyone.
As a Lead Machine Learning Scientist in Business Banking, you'll help build and ship models that power the next generation of Business Banking experiences.
Responsibilities
As a Lead Machine Learning Scientist, you'll be a technical leader and hands-on individual contributor, spearheading our ML and GenAI capabilities and shipping key models that powers magical Business Banking experiences.
You'll:
- Be one of the first ML Scientists in Business Banking, bringing leadership through ambiguity by adding structure and direction to our ML capabilities while staying agile and building momentum.
- Develop and deploy advanced ML models on our cloud-native data platform to serve hundreds of thousands of business customers.
- Partner with Product, data science and other stakeholders to identify the highest-impact opportunities, size impact, and define success metrics.
- Decide when to use ML, GenAI, or simpler approaches and be clear on trade-offs.
- Design robust evaluation and monitoring so we can ship responsibly and measure impact in production.
- Lead the design and implementation of batch and near-real-time models (e.g. LLM-powered experiences, predictive models, time-series forecasting).
- Collaborate closely with MLOps and Backend Engineering to operationalise models end-to-end and raise the bar on ML lifecycle rigor.
- Set technical standards, mentor others, and support experimentation and iteration.
Requirements
You should apply if:
- You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems, preferably in a fast-moving tech company.
- You have experience developing and shipping state-of-the-art ML models to production and delivering business impact.
- You're impact-driven and excited to own the end-to-end journey that starts with a business problem and ends with your solution having a measurable impact in production.
- You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so.
- You speak Python fluently and have extensive, hands-on experience with scikit-learn. You are comfortable using SQL, and keen to learn Go, which is used in many of our backend microservices.
- You're comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity.
- You want to be involved in building a product that small businesses use to run and manage their financial lives every day.
- You have a product mindset: you care about customer outcomes and you want to make data-informed decisions.
- You're excited about fast-moving developments in Machine Learning and AI and can communicate those ideas to colleagues who are not familiar with the domain.
- You're adaptable, curious and enjoy learning new technologies and ideas.
- You're excited by the opportunity to help Business Banking evolve into AI and ML-enabled product capability.
- You can work closely with Product, Engineering, Design, Research and Data colleagues to shape product strategy, clarify trade-offs and build things that customers actually use.
- You're thoughtful about responsible ML/AI; especially in financial products where trust, transparency and customer control matter.
Nice to haves
- Experience working on personalisation, ranking, recommendation, forecasting, classification or decisioning problems for customer-facing applications.
- Experience working on ML systems for fintech, banking, accounting, payments, lending, invoicing, cash flow, tax, risk or business software.
- Experience with GenAI, LLMs, agentic workflows, retrieval, evaluation frameworks, or human-in-the-loop product experiences.
- Commercial experience writing critical production code and working with microservices.
- Experience designing experiments, A/B tests or other approaches to measure product and customer impact.
- Experience working in regulated environments or with products where explainability, auditability and customer trust are especially important.
Benefits
We offer:
- £115,000 - £150,000 + Incentive Awards tied to your performance
- Flexible working hours
- Learning budget of £1,000 a year for training courses and conferences
- And much more