Monzo
Lead Machine Learning Scientist, Search
Vaga remota de Data com fit claro de localização do candidato.
Publicada10 de jul. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Reino Unido
Resumo da vaga
Lead Machine Learning Scientist, Search
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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 lang 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 you (and the people you know) use 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 can communicate those ideas to colleagues who are not familiar with the domain
- You’re adaptable, curious and enjoy learning new technologies and ideas
Nice to haves:
- Experience working on personalisation, ranking & recommendation problems for consumer applications
- Commercial experience writing critical production code and working with microservices
The interview process:
- 30 minute recruiter call
- 45 minute call with hiring manager
- 60 minute ML Modelling interview
- 60 minute Product & ML interview
- 60 minute behavioural interview
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