MLOps Engineer, Cleo AI
Plus equity
AI personal finance assistant
Posted today
AI personal finance assistant
501-1000 employees
Posted today
Plus equity
501-1000 employees
Company mission
To change the world’s relationship with money.
Role
Who you are
- You are passionate about making a positive difference in society by improving the financial health of our users
- You align with our company values and engineering principles, which drive our ways of working and software delivery
- Data System design and breaking down work
- Solid experience with data eng language (python ideal)
- Knowledge of at least one distributed processing framework. Plus if its streaming (eg: PySpark, Flink)
- Containerisation & orchestration; Docker, Kubernetes
- Infrastructure as Code; Terraform
- Software engineering and best practises - proficiency in Python (preferred), code quality and maintainability
- Good knowledge of different storage types and when to use. OLTP, OLAP, S3
- 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
Desirable
- Experience running streaming platform and knowledge of stream > table and table > stream
- Deep technical knowledge of core data structures, distributed processing. Practical application >> theoretical knowledge. It important to have aptitude to understand concepts, but application and reasoning over value is more important
- Monitoring and alerting how it pertains to data system -> also this is important, not strictly necessary as something that can be learnt
- Deploying APIs and systems outside of core data platform -> moving more into the ability to deploy ML systems. Happy if this person has not done this, but willing to learn
- Experience working with Feature Stores
- Experience building and managing ML pipelines e.g: Kubeflow, MLflow, Airflow, Flyte
What the job involves
- The right candidate will support our product teams in achieving their OKRs while championing best practices in data engineering and MLOps
- In this role, you'll work closely 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 robust data pipelines, model deployment workflows, 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
- Cleo is built as a Ruby on Rails monolith with a single React Native app frontend, utilising TypeScript. We also leverage Python for machine learning services and PostgreSQL for our database, all hosted on AWS. Our CI/CD pipeline is fully automated, with production deployments happening on every merge via Heroku
- Our backend engineers deploy multiple times a week, and we release our frontend app to Google and Apple for review at least once a week
- While we take a pragmatic approach, we place a strong emphasis on quality. Our code is peer-reviewed, and we maintain automated testing using Minitest and CircleCI
- We're also actively working towards a more modular architecture, focusing on separating concerns to achieve all the benefits of microservices within a monolith, while progressively refactoring our code as we build new features. Everyone in the engineering team contributes to driving our technical strategy, voices & ideas from all levels are valued: we are all owners at Cleo
Our take
People are increasingly not satisfied with the products being offered by traditional banks, which have proven slow to react to the needs of younger consumers who expect more from their everyday experiences.
Cleo was one of the first companies to make great use of chatbots that sit within Facebook's messenger app. This chatbot-first approach and Gen Z user base have given it strong virality. It now has millions of registered users, 99% of which are based in the US, leading to a decision to take a year break from the UK market to focus on its US Gen Z customers. And after a successful year in the US its now eyeing up a return to the UK.
Its Series C funding will help the company to double down in the US, where it will make a significant increase in employee headcount, and enable Cleo to maintain and expand its service during an economic downturn.
Financial advice delivered via bots is a crowded space, so Cleo benefits from having a strong brand presence. It has gone for very bold, fun, Gen Z-focused messaging which helps it to stand out from competitors such as Emma, Plum, and Chip.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Jun 2022
$80m
SERIES C
Dec 2020
$44m
SERIES B
Total funding: $137.7m
Company benefits
- Meaningful equity with early exercise, plus top-ups on promotion
- Primary caregiver: 18 weeks at full pay / Secondary caregiver: 6 weeks full pay, 6 weeks half pay (dependant on tenure)
- Paid 1-month sabbatical every 4 years
- Comprehensive health, dental & vision insurance
- Learning & development training platform
- Mental health support via Spill
- Company-wide performance reviews every 4 months
- We’ll cover your OpenAI or Claude subscription
- Pension match up to 6% 🇬🇧
- Life assurance 🇬🇧
- 25 days annual leave + an extra day for every year you’re at Cleo (up to five accrued days) 🇬🇧
- Location specific benefits via Deel 🇪🇺
Company values
- Make it Happen - Own the outcome. Lend a hand, take a hand. Fast execution.
- No bullsh*t - Intellectually honest. Go hard on problems, not people. Data-backed decision making.
- Learn at Speed - Jump in and figure it out. Dig deep, do it right. Learn what matters.
- Bring Good Vibes - Read the room, lift the room. Show up for others. Keep it real, keep it positive.
Company HQ
Finsbury, London, UK
Leadership
Barnaby Hussey-Yeo
(Founder & CEO)Previously a Data Scientist at Wonga, one of the companies that pioneered the smart use of data for loan decisions. Joined Entrepreneur First where Cleo was formed.
Diversity, Equity & Inclusion at Cleo AI
- We’ve set up an internal committee of truly passionate people that are dedicated to ensuring Diversity and Inclusion is embedded in how we all operate as a team. We agree on meaningful actions, and get on with implementing them. We have three main focuses right now, which are:
- 1) Improving SocioEconomic diversity across the company
- 2) Increasing the number of women in Leadership roles
- 3) More community outreach
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