ML Engineering Manager — Lead AI Financial Assistant

Cleo; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Cleo is hiring an ML Engineering Manager to lead the ML workstream behind the Financial Assistant feature. You will build and deploy production models that power Cleo's product, shaping how Cleo uses LLMs for engaging, accurate conversations about money.

This is a people management role: manage ML engineers across squads, own headcount, and drive hiring and development. You will oversee a team of ML engineers, data scientists, and analysts, coordinating with the data science function to deliver

Qualifications

• Extensive experience building and deploying ML models to production.
• Experience managing and developing high-performing teams of data scientists and ML engineers.
• Habit of staying abreast of latest research and experimenting with new technologies, including LLMs and LLM agent design.
• Experience owning an ML roadmap, driving ideas through to business impact.
• Ability to write production-quality Python code, with willingness to stay hands-on.
• Nice to have: NLP/domain knowledge including evaluating LLM systems and fine-tuning transformers.
• Nice to have: strong ability to communicate findings to non-technical stakeholders.

Responsibilities

• Understand the core problems faced by the Financial Assistant team and coordinate the ML function's contribution to solving them.
• Find opportunities for model and product improvements in Cleo's data datasets.
• Manage the ML engineers in your squads – coaching and developing them to deliver on the roadmap.
• Build out the headcount plan and own hiring and team development within your area to support growth.

Skills

ML engineering

Team leadership

Python

LLMs

NLP

Model deployment

Container tooling

OpenSearch

Job description

Cleo is hiring an ML Engineering Manager to lead the ML workstream behind the Financial Assistant feature. You will build and deploy production models that power Cleo's product, shaping how Cleo uses LLMs for engaging, accurate conversations about money.

This is a people management role: manage ML engineers across squads, own headcount, and drive hiring and development. You will oversee a team of ML engineers, data scientists, and analysts, coordinating with the data science function to deliver