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Lead Machine Learning Scientist, Customer Operations

1 month, 3 weeks ago
United Kingdom
Part-time
Lead
Machine Learning Engineer
Artificial Intelligence and Machine Learning
Agile Deep Learning Go LLM Machine Learning Microservices MLOps Python SQL
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Monzo

Monzo

Monzo is a digital retail bank and fintech company that provides smart banking solutions through its smartphone app. With over 8 million users, Monzo offers intelligent notifications, instant balance updates, and financial management tools to help user...

Banks
1K-5K
Founded 2015
$1100M raised
View All Jobs 26

Description

  • Work with stakeholders to identify and scope high-impact Machine Learning opportunities in Customer Operations.
  • Lead the design and development of advanced Machine Learning models for query resolution and routing.
  • Explore and apply LLMs, RAG, and sequence-based architectures to improve operational outcomes.
  • Provide technical leadership and mentorship across the Machine Learning discipline.
  • Steer technical strategy with MLOps and backend engineers to support rapid model iteration and lifecycle optimization.
  • Collaborate closely within cross-functional product squads in an agile environment.
  • Help resolve ambiguity for teammates and stakeholders while driving technical direction.
  • Own the end-to-end journey from business problem definition to measurable production impact.

Requirements

  • Multiple years of experience leading the development and deployment of advanced Machine Learning models in a fast-moving tech company or similar environment.
  • Experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production.
  • Extensive experience writing production Python code.
  • Strong command of SQL.
  • Keen to learn Go, which is used in many backend microservices.
  • Experience working effectively in ambiguous environments and helping others resolve ambiguity.
  • Product mindset with a focus on customer outcomes and data-informed decisions.
  • Ability to communicate ML concepts clearly to colleagues without domain expertise.
  • Nice-to-have experience in customer operations, capacity planning, forecasting, or regulated institutions.
  • Nice-to-have commercial experience writing critical production code and working with microservices.

Benefits

  • Relocation support to the UK.
  • Visa sponsorship.
  • London office base with distributed working within the UK and ad hoc meetings in London.
  • Flexible working hours.
  • £1,000 annual learning budget for training courses and conferences.
  • Option to work part-time where possible.
  • Inclusive and supportive working environment with equal opportunity policies.

Interested in this position?

Apply directly on the company website

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