Remote: AI Data Engineer for Large-Scale Audio Pipelines

Speechify; City of Edinburgh; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Speechify is seeking a Software Engineer - AI Data in Edinburgh. This remote-friendly role focuses on building data pipelines to power model training and AI products. The ideal candidate has a strong backend background with Python and Bash in Linux environments and experience with production data systems.

The position offers an opportunity to work within a distributed team, contributing to scalable data solutions and collaborating with AI scientists to advance next-generation models.

Qualifications

• A degree in Computer Science or a related field or equivalent practical experience.
• 5+ years of professional software engineering experience with strong backend fundamentals.
• Proficiency in Python and Bash in Linux environments.
• Experience building and operating production systems, especially data pipelines or large-scale data processing.

Responsibilities

• Discover new sources of audio data and build reliable pipelines to bring them into training datasets.
• Build and improve large-scale data-processing systems, optimizing data quality, throughput and cost.
• Collaborate closely with AI Scientists to improve training datasets and support model development.
• Take ownership of engineering projects from problem discovery through implementation and continuous improvement.

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

GCP

Python

Bash

Linux

Job description

Speechify is seeking a Software Engineer - AI Data in Edinburgh. This remote-friendly role focuses on building data pipelines to power model training and AI products. The ideal candidate has a strong backend background with Python and Bash in Linux environments and experience with production data systems.

The position offers an opportunity to work within a distributed team, contributing to scalable data solutions and collaborating with AI scientists to advance next-generation models.