Senior Machine Learning Scientist

📍Cardiff, London or Remote UK | Salary £86,000-£105,000 + Incentive Awards tied to your performance + benefits | Hear from the team ✨

You'll play a key role by:

• Collaborating with other Machine Learning Scientists, Data Scientists, Backend Engineers, Operations specialists, Product managers, and Risk managers.
• Leveraging your deep experience of developing and deploying advanced Machine Learning models to:
  • Automatically and accurately detect suspicious user behaviours while minimising impact to genuine customers and operational costs.
  • Adapt quickly and appropriately to changing fraud and financial crime trends, ensuring our detection systems remain performant through time.
  • Design machine learning solutions that scale globally.

The technical approaches you take to solve these problems will be very much in your hands and we’ll strongly encourage and support experimentation and innovation. We’ll be expecting you to justify and demonstrate effectiveness along the way, making sure the approach meets our business and customer needs.

You should apply if:

• What we’re doing here at Monzo excites you!
• You have a track record of deploying advanced Machine Learning models tackling real business problems with demonstrable impact, preferably in a fast-moving tech company.
• 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 passion for 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 ML techniques to ensure Monzo’s customers' money stays safe, even if their card, phone, or account is compromised, 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 have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact.
• You thrive working on ambiguous problems and have a track record of helping your team and stakeholders resolve that ambiguity.
• You have strong communication skills and are able to explain complex technical concepts to non-technical stakeholders.
• 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.