Overview
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. We provide a £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! Read our full list of benefits. Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! Equal opportunities for everyone. Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don’t need full or birth names at application stage.
Interview Process
* 30 minute recruiter call
* 45 minute call with hiring manager
* 3 x 1-hour video calls with various team members
Responsibilities & Qualities
* 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 language 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.
* Experience working with operations, financial crime and in regulated institutions.
* Commercial experience writing critical production code and working with microservices.
* Experience working with operations, financial crime and in regulated institutions.
* Commercial experience writing critical production code and working with microservices, Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI.
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