Data Engineer/MLOps Engineer, Cleo AI
+ Equity
More information about location
AI personal finance assistant
Job no longer available
AI personal finance assistant
201-500 employees
Job no longer available
+ Equity
More information about location
201-500 employees
Company mission
To change the world’s relationship with money.
Role
Who you are
- Strong knowledge of data system design; ability to break down problems and propose effective solutions
- Proficiency in Python, with a strong understanding of software engineering best practices (testing, automation, code quality)
- Experience with containerisation and orchestration (Docker and Kubernetes)
- Infrastructure as Code (Terraform or similar)
- Experience with at least one distributed data-processing framework (Spark, Flink, Kafka, etc.)
- Familiarity with different storage solutions (e.g., OLTP, OLAP, NoSQL, object storage) and their trade-offs
- Product mindset and ability to link technical decisions to business impact
- Excellent cross-functional communication—able to partner with data scientists, software engineers, and product managers
Desirable
- Experience with streaming platforms and understanding stream/table transformations
- Familiarity with ML system deployment and management (Kubeflow, MLflow, Airflow, Flyte, etc.)
- Knowledge of monitoring, alerting, and operational best practices for data-intensive systems
- Experience with Feature Stores or similar ML data management tools
What the job involves
- We’re hiring a Data Engineer / MLOps Engineer to support Cleo's product teams in delivering impactful data-driven solutions
- In this role, you'll help teams adopt our internal Data Platform, build efficient data pipelines, and deploy machine learning models effectively at scale
- You’ll serve as a bridge between product teams and our Data Platform team, ensuring tools and infrastructure meet real-world needs and continuously evolve
- You'll combine hands-on technical work with strategic collaboration, directly influencing how Cleo leverages data to achieve product and business goals
- Collaborate closely with product teams to implement robust, scalable data pipelines and ML workflows
- Guide teams in adopting best practices around data engineering, infrastructure management, and MLOps
- Surface practical insights from product teams to inform improvements in our internal Data Platform
- Contribute actively to enhancing our data and ML infrastructure—focusing on usability, efficiency, reliability, and cost-effectiveness
- Mentor and support engineers and data scientists in data engineering and MLOps best practices
Salary benchmarks
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 5 rounds)
Jun 2022
$80m
SERIES C
Dec 2020
$44m
SERIES B
Total funding: $137.5m
Company benefits
- Meaningful equity with early exercise, plus top-ups on promotion
- Up to 26 weeks’ parental leave
- Paid 1-month sabbatical every 4 years
- Comprehensive health, dental & vision insurance
- Pension/401K match up to 6%
- Learning & development budget
- Mental health support via Spill
- Flexible working for a healthy work–life balance
- Work remotely from one of our hiring locations, with a hybrid option in our London office (1+ day/week)
- Annual company off-sites
- Company-wide performance reviews every 6 months
- Clear progression plans with opportunities to lead, grow, and challenge the status quo
- We’ll cover your OpenAI subscription
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
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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