A live role
Lead Machine Learning Scientist, Customer Operations
from Monzo · read the original and apply on their site
Cardiff, London or Remote (UK)
Our take: The real work here is taking machine learning from a fuzzy customer service problem all the way to a shipped model that measurably resolves issues faster, while steering standards across the ML discipline.
You will own machine learning end to end here, from a real customer problem to a model shipped in production that measurably cuts the time it takes to resolve someone's issue. You get to work at the frontier with LLMs, RAG and sequence models, embedded in a cross-functional squad, while setting standards and mentoring across the wider ML discipline. If you love turning ambiguity into shipped impact on a product millions actually use, this is your kind of work.
Needs
- building ml systems
- designing ml models
- production python and sql
- analysing customer data
- translating ml plainly
- mentoring others
Rewards
- transforming customer service
- product people use daily
- measurable production impact
- staying at ml frontier
- steering the discipline
Demands
- cross-team squad work
- working through ambiguity
- fast-moving pace
- end-to-end ownership
- high-stakes scale
Grows
- ml lifecycle tooling
- learning go lang
- technical strategy
- mentoring engineers
Values
- data-informed decisions
- mission driven
- customer outcomes first
- inclusive culture
- funded learning
Drains
- stakeholder scoping loops
- disambiguating messy queries
Would you love this work?
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