Data Engineer/MLOps Engineer, Cleo

Salary not provided

+ Equity

AWS

Docker

Kubernetes

Python

Kafka

Airflow

Terraform

Redshift

Spark

Kubeflow

Flink

Kinesis

Junior, Mid and Senior level

London

Remote from UK

More information about location

AI personal finance assistant

Be an early applicant

AI personal finance assistant

201-500 employees

FintechB2CArtificial IntelligenceBankingPersonal financeFinancial ServicesSaaS

Be an early applicant

Salary not provided

+ Equity

AWS

Docker

Kubernetes

Python

Kafka

Airflow

Terraform

Redshift

Spark

Kubeflow

Flink

Kinesis

Junior, Mid and Senior level

London

Remote from UK

More information about location

201-500 employees

FintechB2CArtificial IntelligenceBankingPersonal financeFinancial ServicesSaaS

Company mission

To help millions of people improve their financial health, and relate to them in a way their banks never could.

Job

Company

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

Rocket List 2021

Top investors

43% female employees

24% employee growth in 12 months

Glassdoor (3.8)

Trustpilot (4)

Company

Employee endorsements

Nice people

"Cleople are unmatched. The vibes, the energy, the friendships. I genuinely love my colleagues and have developed real-life friendships. I don't know..."

Browse all endorsements

Funding (last 2 of 5 rounds)

Jun 2022

$80m

SERIES C

Dec 2020

$44m

SERIES B

Total funding: $137.5m

Company benefits

Learning and development
Mental health support
Agile working

Company values

Make it Happen
Learn at Speed
Bring Good Vibes

Company HQ

London, UK

Articles

Cleo named as one of Forbes' Next Billion Dollar Startups

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

Annie Jackson (Head of Talent )

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
Check out our 2022 Diversity and Inclusion report, here: https://web.meetcleo.com/blog/cleo-diversity-equity-and-inclusion-report-2022

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