ML Data & Platform Engineer

Join Speechmatics, a leading expert in Speech Intelligence. As an ML Data & Platform Engineer, you will own the infrastructure that powers our speech AI models, working across the full stack: data infrastructure, distributed systems, and production ML. You will design, build, and maintain scalable data pipelines, develop web scraping solutions, and optimize infrastructure for speed and reliability. You should have strong proficiency in Python and SQL, experience with containerization and orchestration, and a solid understanding of the ML lifecycle.

Responsibilities

• Designing, building, and maintaining scalable data pipelines for ingesting, transforming, validating, and storing large datasets used to train models.
• Developing and maintaining web scraping and data acquisition solutions to keep training datasets fresh, high-quality, and available at scale.
• Building and operating the infrastructure that lets the ML team deploy and evaluate new models quickly, and that serves models efficiently and reliably in production.