Referrals Only - Lead Machine Learning Scientist
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Requirements
• Experience working on personalisation problems for consumer applications • Commercial experience writing critical production code and working with microservices • The interview process: • Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! • 30 minute recruiter call • 45 minute call with hiring manager • 1 take home task • 3 x 1-hour video calls with various team members
Responsibilities
• As a technical individual contributor, you’ll be providing technical leadership and shipping highly impactful ML-based solutions. You’ll be embedded in a cross functional product squad, working closely with product managers, data scientists, backend engineers and designers in an agile environment. You’ll also be a technical leader within the Machine Learning discipline, helping to steer technical work and drive up standards. • This will involve: • This will involve: • Working with stakeholders across the organization to identify and scope out the most impactful opportunities to tackle business problems in personalisation. • Leading the design and development of advanced real time Machine Learning models, for example exploring how recent advances in machine learning (neural network, graph-based, and sequence-based architectures, LLMs) can drive improvements in our ability to deliver personalised user experiences. • Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others. • Working closely with our ML platform team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle. • You should apply if: • What we’re doing here at Monzo excites you! • 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 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 a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so • 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’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
Benefits
• ✈️ We can help you relocate to the UK • ✅ We can sponsor visas • 📍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, at times that suit you and your team. • 📚Learning budget of £1,000 a year for books, training courses and conferences • ➕And much more, see our full list of benefits here • If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
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