Lead Machine Learning Scientist, Customer Operations
New
M
MonzoFintech, Banking
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).Full-TimeLead
Salary not disclosed
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Job Details
- Experience
- Multiple year track record of excellence
- Required Skills
- PythonSQLMachine LearningGoMicroservicesDeep LearningMLOps
Requirements
- Multiple years of experience leading the development and deployment of advanced ML models in a fast-moving tech environment.
- Experience shipping deep learning, graph-based, or sequence-based ML architectures to production.
- Extensive experience writing production-grade Python code.
- Strong command of SQL.
- Strong product mindset with a focus on measurable outcomes and data-informed decision-making.
- Ability to communicate complex technical ideas to non-technical stakeholders.
- Comfortable working within a team that navigates ambiguity.
- Self-starter mindset with the ability to identify and execute on opportunities independently.
- Willingness to learn Go for backend microservices.
- Desirable: Experience in customer operations, capacity planning, forecasting, or regulated institutions.
- Desirable: Commercial experience writing critical production code and working with microservices.
Responsibilities
- Identify and scope impactful opportunities to transform Customer Operations using Machine Learning.
- Lead the design and development of advanced ML models, including LLMs, RAG, and sequence-based architectures.
- Provide technical leadership to drive expertise and best practices across the Machine Learning discipline.
- Steer technical strategy and collaborate with MLOps and backend engineers to optimize the ML model lifecycle.
- Partner with cross-functional teams including data scientists, product managers, and designers to ship impactful solutions.
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