Remote AI Data Engineer – Scale ML Datasets

Speechify; Manchester; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Remote work

Competitive compensation

Asynchronous culture

Impactful work

Job summary

Speechify is seeking a Software Engineer - AI Data in Manchester to join our AI team and build data pipelines powering model training and next-generation AI products. You will work on petabyte-scale datasets, combining engineering and research to improve data quality, throughput, and cost.

This role emphasizes ownership, independence, and solving complex data challenges in a fully distributed company. You will collaborate with AI scientists, explore new data sources, and contribute to scalable

Qualifications

• A degree in Computer Science or a related field, or equivalent practical experience.
• 5+ years of professional software engineering experience, with strong backend development fundamentals.
• Proficiency in Python and Bash in Linux environments.
• Experience building and operating production systems, ideally involving data pipelines or large-scale data processing.
• Strong problem-solving skills, initiative, and the ability to work independently in ambiguous environments.

Responsibilities

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

Skills

Python

Bash

Backend development

Data pipelines

Problem solving

Education

Bachelor's degree in Computer Science or equivalent

Tools

GCP

Terraform

Job description

Speechify is seeking a Software Engineer - AI Data in Manchester to join our AI team and build data pipelines powering model training and next-generation AI products. You will work on petabyte-scale datasets, combining engineering and research to improve data quality, throughput, and cost.

This role emphasizes ownership, independence, and solving complex data challenges in a fully distributed company. You will collaborate with AI scientists, explore new data sources, and contribute to scalable