Senior Staff Machine Learning Scientist, Monzo

• What we’re doing here at Monzo excites you!
• You have a proven track record of leading large-scale ML initiatives with tangible business impact, preferably in a fast-moving tech company
• You have led the development and adoption of reusable ML modelling patterns, architectures, or infra across large organizations
• You have experience developing state-of-the-art deep learning models, LLMs, and advanced AI architectures
• You are an industry expert in ML model development, deployment, and MLOps at scale
• You are deeply comfortable with Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch) and have experience working in a microservices architecture (Go Lang experience is a plus)
• You have extensive experience with real-time ML applications, reinforcement learning, graph-based models, and/or NLP
• You can communicate complex ML concepts to both technical and non-technical audiences, influencing senior stakeholders and executives
• You thrive in ambiguous, fast-changing environments and have a proactive, problem-solving mindset
• You have a passion for mentoring, and can elevate the ML skill set across the organization influencing both cross-functional and executive strategy

Desirable

• As a Senior Staff ML Scientist, you’ll be at the pinnacle of our Individual Contributor (IC) career track, serving as the foremost technical authority in Machine Learning within Monzo
• You’ll shape foundational ML strategy and platforms that support Operations and influence the design and delivery of ML solutions across the business
• You will work cross-functionally with senior leadership, engineering teams, and business stakeholders to define and execute our long-term ML strategy
• You’ll influence the development of Monzo’s ML capabilities across diverse areas, from automating support experiences to optimizing operational efficiency, and pioneering AI-driven products that improve customer outcomes
• Beyond technical execution, you will mentor and guide the next generation of ML talent at Monzo, elevating the standard of ML expertise across the company
• You’ll also be a thought leader, influencing best practices in ML model and GenAI systems development, deployment, and governance at scale
• Define and execute the strategic vision for ML across Operations and adjacent business areas
• Define reusable ML architectures and modelling standards adopted by multiple teams, and guide the development of complex systems that serve as the foundation for multiple products and problem spaces
• Act as a senior technical authority, setting best practices and architectural patterns for ML across the organization
• Collaborate with Engineering, Product, and Leadership teams to integrate ML-driven solutions into core business processes
• Advocate for and implement responsible AI practices, ensuring fairness, robustness, and transparency in our models
• Mentor and coach ML practitioners at all levels, fostering a culture of continuous learning and innovation
• Engage with the broader ML community, sharing knowledge through conferences, blog posts, and open-source contributions

• Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!
• 30 minute recruiter call
• 1 hr call with hiring manager
• 4 x 1-hour video calls with various team members (short presentation included)
• Our average process takes around 3-4 weeks but we will always work around your availability