Machine Learning Engineer

OverviewMachine Learning Engineer

role at

Cleo .

About CleoAt Cleo, we''re not just building another fintech app. We''re embarking on a mission to fundamentally change humanity''s relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. That''s the future we''re creating.

About the RoleMachine Learning Engineers at Cleo work on building novel solutions to real-world problems. This can include creating chatbots to coach users around their financial health, building classifiers to better understand transaction data, or optimizing transactions within our payments platform. You will lead technical work within a team of adaptable, creative, product-focused engineers who train and integrate cutting-edge machine learning across products and deploy them into production for millions of users.

Responsibilities

Designed and implemented AI agents to analyse and extract insights from users’ transactional data.

Developed models to interpret transactional data, enhancing the understanding of users’ finances.

Created contextual intent classifiers to understand user conversations with Cleo, enabling tailored platform responses.

Engineered ML models to identify and deliver relevant actions to users within Cleo, ensuring a seamless, context-aware conversational experience.

Built models to evaluate risk in customer interactions with bank transaction features and user activities.

Developed optimisation models to improve payment success rates for customers while minimising business costs.

What You’ll Need

Excellent knowledge of Data Science (Python, SQL) and production tooling

Experience building chat products

A strong understanding of probability and statistics fundamentals

Big-picture thinking to diagnose problems and productionise research

Top-tier communication skills to partner with Product and Commercial Leaders

Industry-leading contributions to your field (conferences, blogs, talks, or open-source projects)

3+ years of experience in data science, machine learning engineering, or related roles

Ability to communicate findings to non-technical stakeholders

Experience deploying machine learning models into production; familiarity with Docker containers and container orchestration is a plus

Recruitment Process

Interview with a Recruiter (30 mins)

Interview with the Hiring Manager (30 mins)

Technical Interview (45-60 mins)

White-boarding session (60 mins)

Technical Discussion (60 mins)

What you get

Competitive compensation package (base + equity) with bi-annual reviews, aligned to quarterly OKR planning. See our progression framework and salary bands here: https://cleo-ai.progressionapp.com/

Work at a fast-growing tech startup backed by top VC firms Balderton and EQT Ventures

Clear progression plan and support for growth

Flexible working arrangements

Global distributed team; London hybrid option with one day per week in the office; travel costs covered if outside London

Company-wide performance reviews every 6 months

Generous pay raises for high-performing team members

Equity top-ups for team members getting promoted

25 days annual leave + public holidays, plus +1 day per year at Cleo up to 30

6% employer-matched pension in the UK

Private medical insurance via Vitality, dental cover, and life assurance

Enhanced parental leave

1 month paid sabbatical after 4 years at Cleo

Regular socials and activities, online and in-person

OpenAI subscription paid by Cleo

Online mental health support via Spill

Workplace Nursery Scheme

And more

We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.

App access for people in the UK and Europe: If you are an iOS user, sign up to our TestFlight version of the app to explore functionality and features: https://testflight.apple.com/join/fDG9hWng

Job Details

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Information Technology

London, United ..... full job details .....