Senior MLOps Engineer: Data Platform & ML Pipelines

Cleo; United Kingdom; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

Cleo is seeking an engineer to bridge product teams and the Data Platform, enabling scalable data and ML solutions. You will work with data scientists and engineers to implement pipelines, deployment workflows, and monitoring within a fast-growing, AI-driven environment.

You will join a team that values ownership, learning, and collaboration, with a stack spanning Ruby on Rails, React Native, Python ML services, and AWS/Kubernetes.

Qualifications

• Experience with data engineering in a product-focused environment.
• Proficiency in Python and building data pipelines.
• Experience collaborating with data scientists and product managers to align ML initiatives with business goals.

Responsibilities

• Support product teams in achieving OKRs and championing data engineering best practices.
• Help teams implement robust data pipelines, model deployment workflows, and monitoring strategies.
• Bridge between product teams and the Data Platform, surfacing real-world challenges.

Skills

Data system design

Python

Distributed processing (streaming)

Docker

Kubernetes

Terraform

Code quality

Data storage (OLTP/OLAP/S3)

Cross-functional collaboration

ML collaboration

Tools

PySpark

Flink

Terraform

Job description

Cleo is seeking an engineer to bridge product teams and the Data Platform, enabling scalable data and ML solutions. You will work with data scientists and engineers to implement pipelines, deployment workflows, and monitoring within a fast-growing, AI-driven environment.

You will join a team that values ownership, learning, and collaboration, with a stack spanning Ruby on Rails, React Native, Python ML services, and AWS/Kubernetes.