Tech Lead Machine Learning Manager, Financial Understanding

Cleo; Greater London; On-site; GBP 95,000 - 140,000; Full time

Benefits offered by this job

Equity

Comprehensive health insurance

One-month sabbatical after four years

Learning & development platform

Pension or retirement contributions

Location-specific leave entitlements

Job summary

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.

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 and developing a holistic understanding of a system to propose and build solutions.

Responsibilities

• 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.

Skills

Data science

ML engineering

Team management

Python

Production deployment

LLMs

Classical ML

Job description

Most money apps talk at you. Cleo talks back

We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process For everyone, whatever their background or balance.

The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money.

We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in.

Follow us on LinkedIn for new features and the occasional roast

Meet the team

Here at Cleo, we have ~45 ML engineers They are the builders behind the AI that powers our product. They design experiments, create models that personalise financial insights, deploy fraud detection systems and scale our conversational AI, making sure that what we build genuinely helps people feel better about their money. From shaping product features and building the models that personalise our users' money journeys, to tackling fraud, scaling our systems and giving leaders the insights they need, our data team is at the heart of it all.

About The Role

We're hiring a Tech Lead ML Manager to join the existing data science function at Cleo. You’ll be working on models that support our understanding of a user’s financial life, building our foundational capabilities upon which all our product innovation depends, from the chat based Financial Assistant to our credit products. You’ll take on technical leadership and ownership of a workstream within the Financial Understanding pillar. We work at the intersection of LLMs and classical machine learning, trying to bring the advanced capabilities that are now possible at the speed and scale necessary for the size of Cleo’s userbase.

• 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

What We're Looking For

• 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

What we offer

We offer benefits package built to support you in and out of work. Benefits vary by country and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements.

For the full breakdown on what's available in your location, visit our Candidate Hub

What Matters

Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits.

We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know.

We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!