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ML Data & Platform Engineer
Summary by AIEngineer.careers
ML Data & Platform Engineer is a MLOps Engineer role (full-time). with Speechmatics. in CAMBRIDGE, GB. Imported listing (source: bookingagency.io). Apply on the employer's site (bookingagency.io).
Imported listing (source: bookingagency.io) · Apply on bookingagency.io
CAMBRIDGE · GB
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from bookingagency.io
This role focuses on owning and scaling the infrastructure for speech AI models, including data pipelines and platforms used for training, evaluating, and serving models in production. The engineer will drive improvements in MLOps practices to support scalable and efficient model operations.
Responsibilities
- Own infrastructure for speech AI models
- Build and maintain data pipelines
- Develop platforms for training, evaluating, and serving models
- Improve MLOps practices and scale the platform
Requirements
- Experience with ML infrastructure and data pipelines
- Knowledge of MLOps best practices
- Ability to scale platforms for model serving
Nice to Have
- Background in Speech AI or audio processing
- Experience with large-scale distributed systems
Tech Stack
Data PipelinesMLOpsSpeech AI
Speechmatics
Cambridge · GB · 108+ employees
Speechmatics is a Cambridge-based speech-technology company that develops AI speech recognition and speech-to-text APIs for real-world conversations. Its systems handle multilingual, accented, noisy, and multi-speaker audio for live and recorded use cases, with cloud, on-premises, and on-device deployment options.
