Lead Machine Learning Scientist

June 22

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Monzo Bank

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We're a bank that lives on your phone, on a mission to make money work for everyone.

Digital Retail Bank • Fintech • digital banking • smartphone

1001 - 5000

Description

• The challenges are significant: we aim to transform customer service by reducing the time and effort required to resolve issues, enhancing customer confidence and satisfaction. • As part of Operations you’ll be at the forefront of our mission to provide unparalleled customer support experiences. • Your role will be pivotal in leveraging state of the art machine learning techniques including LLMs to understand customer problems, to develop an effective human-in-the loop system that augments automation with the efforts of support workforce. • You’ll be one of 4 ML engineers in Operations, embedded in product squads working alongside data scientists, backend, mobile and web engineers, product managers, user researchers, designers and operations specialists. • You’ll play a key role by leveraging your deep experience of developing and deploying advanced Machine Learning models.

Requirements

• You have a track record of leading the technical work of a team in the development and deployment of advanced Machine Learning models tackling real business problems with demonstrable impact, preferably in a fast moving tech company. • You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures 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 experience in, and a passion for, mentoring other ML practitioners, sharing knowledge and raising the technical bar across the team. • You have a self-starter mindset; you proactively identify the most impactful issues and opportunities and collaboratively tackle them without being told to do so. • Using advanced machine learning techniques to directly improve customer support experiences and globally optimise routing and prioritisation across millions of customers and thousands of support staff sounds exciting to you. • You have extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices. • You thrive working on ambiguous problems and have a track record of 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, with a product mindset that prioritises customer outcomes and 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 with operations, financial crime and in regulated institutions • Commercial experience writing critical production code and working with microservices

Benefits

✈️ We’ll help you relocate to the UK. ✅ We can sponsor your visa. 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) ⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 📚£1,000 learning budget each year to use on books, training courses and conferences. 🏡We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more!