The opportunity
🚀 We’re on a mission to make money work for everyone.
What you'll do
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).
What they're looking for
- 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.
- 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.
