Tech Lead Machine Learning Manager - WOD

Cleo; Greater London; On-site; GBP 120,000 - 170,000; Full time

Benefits offered by this job

Equity

Health insurance

Dental insurance

Vision insurance

Mental health support

Sabbatical after four years

Learning platform access

Pension contributions

Location-specific leave

Job summary

Cleo in Greater London is seeking a Tech Lead ML Manager to guide the data science function that underpins our Financial Understanding products. You will steer a team of ML engineers, architect and deploy models, and collaborate with product, backend, and analytics teams to deliver scalable financial insights.

You’ll work at the intersection of LLMs and traditional ML, shaping foundations for product innovation while driving performance and maintainability across systems for Cleo’s large user

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 to propose & build solutions.

Responsibilities

• Leading and managing a team of circa. 4 MLEs.
• Deploying machine learning models into production.
• Collaborating with product managers, backend engineers and analysts to plan and sequence work for the squad.
• Helping define the roadmap for the squad/workstream.

Skills

Data science

ML engineering

People management

Python

Model deployment

LLMs

Classical ML

System thinking

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 an 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, dental and vision insurance, mental health support, a paid one-month sabbatical after four years, a learning and 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 metris.

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!