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A leading tech company in the UK is looking for a Machine Learning Team Lead. In this role, you will guide the development and deployment of impactful machine learning models while mentoring fellow team members. The ideal candidate will have extensive experience in Python and SQL, and a passion for problem-solving in ambiguous environments. You will work to improve customer support through advanced ML techniques and provide insights that drive business decisions. A diverse and inclusive workplace is prioritized, ensuring a supportive environment for all employees.
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.