ML Tech Lead & Manager — Build Production-Ready AI

Cleo; España; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Equity

Health insurance

Mental health support

Sabbatical after four years

Learning & development platform

Pension contributions

Location-specific leave entitlements

Job summary

Cleo is building the world's first AI financial assistant that understands money and helps people manage it. We are hiring a Tech Lead ML Manager to lead the data science function, shaping foundational capabilities at the intersection of LLMs and traditional ML.

You will drive technical leadership, own a workstream within the Financial Understanding pillar, and partner with PMs, backend engineers, and analysts to plan and deliver at pace for a global userbase.

Qualifications

• 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 & developing a holistic understanding of a system in order to propose & build solutions

Responsibilities

• Leading and managing a team of circa. 4 MLE’s
• 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

Skills

Data science

ML engineering

Management

Python

Production systems

Tools

PyTorch

TensorFlow

Job description

Cleo is building the world's first AI financial assistant that understands money and helps people manage it. We are hiring a Tech Lead ML Manager to lead the data science function, shaping foundational capabilities at the intersection of LLMs and traditional ML.

You will drive technical leadership, own a workstream within the Financial Understanding pillar, and partner with PMs, backend engineers, and analysts to plan and deliver at pace for a global userbase.