About The Company
About Cleo
At 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.
Cleo is a rare success story: a profitable, fast-growing unicorn with over $200 million in ARR and growing over 2x year-over-year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact.
If youâre driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleoâs success as we scale, while growing alongside a company thatâs scaling fast, this might be your perfect fit.
Follow us on LinkedIn to keep up to date with new product features and insights from the team.
About The Role
About the role
We are looking for a mid/senior level Python Engineer. The right candidate will support our product teams in achieving their OKRs while championing best practices in python engineering and MLOps. In this role, you'll work directly with product teams to ensure they effectively adopt the tools, frameworks, and processes provided by the Data Platform team, enabling them to build scalable, efficient, and reliable data and ML solutions. You'll help teams implement and operate robust python services, monitoring strategies, and cost-efficient practices to improve their data-driven capabilities.
At the same time, you'll act as a crucial bridge between product teams and the Data Platform team, gathering insights on real-world challenges, gaps, and pain points in the existing platform. By surfacing these issues and collaborating with the platform team, you'll contribute to the continuous improvement of our internal tooling and infrastructure, ensuring it better serves the needs of our engineers and data scientists. This is an opportunity to blend hands-on engineering with strategic impact, influencing both product success and the evolution of our data platform.
What do you need?
Software engineering and best practises - proficiency in Python, code quality and maintainability.
Containerisation \& orchestration; Docker, Kubernetes
Understanding value and product thinking
Experience working cross-functionally; Ability to work with data scientists, software engineers, and product managers to align ML initiatives with business goals.
What would be beneficial?
Infrastructure as Code; Terraform
Cloud experience (AWS/GCP/Azure)
Data System design and breaking down work
Monitoring and alerting how it pertains to data system -\> also this is important, not strictly necessary as something that can be learnt
Deploying and operating APIs -\> moving more into the ability to deploy/operate microservices. Happy if this person has not done this, but willing to learn.
Experience building and managing Data pipelines e.g: Kubeflow, MLflow, Airflow, Flyte.
Experience in MLOps.
Technical Skills
Software Architecture + System Design
Able to break down complex problems into smaller components and propose technical solutions.
Can design scalable, maintainable systems and reason about trade-offs.
Considers:
Scalability (horizontal/vertical scaling, async patterns)
Maintainability (readability, modularity, testability)
Resilience \& fault-tolerance (error handling, retries, graceful degradation)
Python \& Ecosystem
In-depth knowledge of Python 3.x, standard libraries, and core language features.
Strong experience with frameworks/tools such as:
Web frameworks: Django, Flask, FastAPI
Data handling: Pydantic, Pandas, SQLAlchemy,
Async programming: asyncio, concurrent.futures
Coding / Software Engineering
Shapes and enforces best practices:
Code structure \& modularity
Clean, idiomatic Python (PEP8, typing, docstrings)
Strong in testing and automation:
Pytest; unittest, integration testing
CI/CD pipelines and coverage metrics (CircleCI, Github/GitLab workflows)
Version control mastery.
Familiarity with monitoring, logging, and alerting (e.g., Sentry, Prometheus, OTEL).
Infrastructure
Understanding of containerization and deployment:
Docker (required)
Kubernetes or other orchestration tools
Cloud experience (AWS/GCP/Azure), especially services relevant to running Python applications.
Infrastructure as Code (Terraform, CloudFormation, Pulumi).
Security considerations: secret management, secure coding practices, dependency scanning.
Basic networking knowledge (HTTP, REST, gRPC, sockets).
Core CS Skills
Strong grounding in:
Data structures \& algorithms
Time and space complexity analysis
Concurrency and distributed systems
Knowledge of design patterns and when to apply them.
Soft Skills
Influence + Communication
Can clearly explain technical decisions and trade-offs to engineers and non-engineers.
Helps shape technical direction and advocates for best practices across the team.
Comfortable writing documentation and RFCs.
Working With Others
Active in knowledge sharing and mentoring junior/mid engineers.
Provides thoughtful code reviews, balancing detail with pragmatism.
Helps drive team technical initiatives.
Team Contribution
Experience contributing to cross-functional teams (product, design, DevOps).
Ability to work in agile environments, balancing delivery with technical quality.
Proven track record of building or contributing to production-grade systems that are used at scale.
Principles
Delivering incrementally
Doing the simple thing
Customer focused
More seniority will consider impact across Cleo as a business
What do you get for all your hard work?
A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles. You can view our public progression framework and salary bandings here: https://cleo-ai.progressionapp.com/
Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton \& EQT Ventures
A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support.
Flexibility. We canât fight for the worldâs financial health if weâre not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work.
Work where you work best. Weâre a globally distributed team. If you live in London we have a hybrid approach, weâd love you to spend one day a week or more in our beautiful office. If youâre outside of London, weâll encourage you to spend a couple of days with us a few times per year. And weâll cover your travel costs, naturally.
Other benefits (Can differ based on geographical location):
Company-wide performance reviews every 6 months
Generous pay increases for high-performing team members
Equity top-ups for team members getting promoted
25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days)
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
We'll pay for your OpenAI subscription
Online mental health support via Spill
Workplace Nursery Scheme
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.
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f thereâs anything we can do to accommodate your specific situation, please let us know.
UK App access: The Cleo app is no longer downloadable in the UK (but only until next year). If youâre an existing user, youâll still have access to the app. But some features wonât be available (just for a little while). Why? 99% of our users are based in the US â where financial health is often overlooked. Weâve decided to shift our focus to where we can provide the most value and make the greatest impact for users who need it most. Then weâll be able to apply what we learn to better support our UK users in the future.
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with CLEO. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with CLEO may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with CLEO's
Candidate Privacy Notice
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Cleo AI. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Cleo AI may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Cleo AI's Candidate Privacy Notice