ML Data Platform Engineer — Build Scalable AI Training Data

Zettafleet; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Equity

Discretionary bonus

Job summary

Zettafleet is hiring a Software Engineer – Machine Learning Data Platform in London. Design and build a scalable data platform that ingests large training datasets, focusing on reliability, quality and performance.

Work with the founding team and deploy services on AWS using Terraform, Python, ECS/Lambda, and Postgres. Ideal candidates have 2–3 years in backend development, strong CS fundamentals, cloud-native experience (AWS/GCP/Azure), and a passion for data quality and scalable architectures.

Qualifications

• 2–3 years of backend data-platform/ETL experience.
• Cloud platforms experience (AWS/GCP/Azure) and IaC (Terraform).
• Strong CS fundamentals; solid data structures/algorithms.
• Analytical problem-solving; ability to break down complex problems.
• Excellent collaboration and communication skills.

Responsibilities

• Design and build a scalable data platform that ingests and processes large training datasets.
• Create methodologies and metrics to understand data quality and distribution.
• Architect data validation, integrity and safety for ML models.
• Operate with a high degree of autonomy and ownership over work.
• Collaborate with the founding team to enforce best practices and standards.

Skills

Backend development

Cloud-native

Algorithms & CS fundamentals

Problem solving

Collaboration & communication

Tools

AWS

Terraform

Docker

Postgres

SNS/SQS

Redis

ECS

Lambda

Job description

Zettafleet is hiring a Software Engineer – Machine Learning Data Platform in London. Design and build a scalable data platform that ingests large training datasets, focusing on reliability, quality and performance.

Work with the founding team and deploy services on AWS using Terraform, Python, ECS/Lambda, and Postgres. Ideal candidates have 2–3 years in backend development, strong CS fundamentals, cloud-native experience (AWS/GCP/Azure), and a passion for data quality and scalable architectures.