Lead ML Scientist: Search & Personalization (Remote)

Monzo; United States; Remote; USD 153,000 - 200,000; Full time

Benefits offered by this job

Relocation to UK

Visa sponsorship

Flexible working hours

Learning budget £1000/year

Job summary

Monzo, a forward-thinking fintech, seeks a Lead Machine Learning Scientist for the ML Search team. You will build and deploy models that help customers search for and manage their financial lives, leveraging embeddings, contextual bandits and ranking algorithms.

You’ll work on a modern cloud-native platform with billions of rows of data, aiming for scalable, explainable AI that improves customer outcomes. UK relocation and visa sponsorship are available, plus flexible hours and a £1,000 learning

Qualifications

• Multiple year track record leading the development and deployment of advanced ML models to tackle real business problems, preferably in a fast-moving tech company.
• Experience developing and shipping state-of-the-art ML models to production and delivering measurable business impact.
• Strong Python fluency; extensive hands-on experience with scikit-learn; comfortable with SQL; eager to learn Go.

Responsibilities

• Lead development and deployment of advanced ML models to support customer search and discovery.
• Build scalable, explainable, and responsible AI solutions to enhance trust and user experience.
• Justify and demonstrate effectiveness of approaches while aligning with business needs.

Skills

Python

scikit-learn

SQL

Go

Machine Learning

Leadership

Personalisation

Tools

Go lang

Cloud platforms

Job description

Monzo, a forward-thinking fintech, seeks a Lead Machine Learning Scientist for the ML Search team. You will build and deploy models that help customers search for and manage their financial lives, leveraging embeddings, contextual bandits and ranking algorithms.

You’ll work on a modern cloud-native platform with billions of rows of data, aiming for scalable, explainable AI that improves customer outcomes. UK relocation and visa sponsorship are available, plus flexible hours and a £1,000 learning