Tech Lead ML Manager - Build AI Financial Assistant

Cleo; Greater London; Presencial; GBP 95.000 - 140.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Comprehensive health insurance

One-month sabbatical after four years

Learning & development platform

Pension or retirement contributions

Location-specific leave entitlements

Descripción de la vacante

Cleo is hiring a Tech Lead ML Manager to lead the data science function and own a workstream within the Financial Understanding pillar. You will guide the development of models that power our AI financial assistant, impacting millions of users.

Join a fast-growing team at the intersection of LLMs and traditional ML, taking ownership from model experimentation to production deployment, and shaping the roadmap for the squad.

Formación

• At least 5 years of experience in data science, ML engineering or related roles.
• At least 1 year of management experience, ideally of a small team.
• Ability to write production quality Python code.
• Experience deploying machine learning models into production.
• Experience with both LLMs and classical machine learning.
• Comfortable with complexity and developing a holistic understanding of a system to propose and build solutions.

Responsabilidades

• Lead and manage a team of circa. 4 MLEs.
• Deploying machine learning models into production.
• Collaborating with product managers, backend engineers and analysts to play an active role in the planning and sequencing of work for the squad.
• Helping define the roadmap for the squad/workstream.

Conocimientos

Data science

ML engineering

Team management

Python

Production deployment

LLMs

Classical ML

Descripción del empleo

Cleo is hiring a Tech Lead ML Manager to lead the data science function and own a workstream within the Financial Understanding pillar. You will guide the development of models that power our AI financial assistant, impacting millions of users.

Join a fast-growing team at the intersection of LLMs and traditional ML, taking ownership from model experimentation to production deployment, and shaping the roadmap for the squad.