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← Speechmatics

ML Data & Platform Engineer

Speechmatics
Location
London, England, United Kingdom
Posted
16 days ago
Department
Machine Learning
What they actually want (must-haves)
  • Strong proficiency in Python and SQL
  • Hands-on experience with containerisation and orchestration (Docker, Kubernetes)
  • Experience building data pipelines and ETL/ELT processes at scale
  • Solid understanding of the ML lifecycle from data to model serving
  • Experience with data quality practices
  • Ability to design resilient, scalable architectures
What the job really is

The ML Data & Platform Engineer will be responsible for the infrastructure that supports speech AI models, focusing on data pipelines, model training, and deployment. This role involves designing and maintaining scalable data pipelines, developing data acquisition solutions, optimizing infrastructure for performance, and implementing observability across systems. The engineer will also troubleshoot issues and improve MLOps practices to enhance the platform as it scales.

Benefits
  • Flexible working
  • Regular company lunches
  • Birthday celebrations
  • Private Medical and Dental for employees and families
  • Global working opportunities
  • Generous holiday allowance
Things to weigh
  • No salary listed
  • Hybrid work model with 2-3 office days per week
  • Broad role may require wearing many hats
  • Focus on speech AI may imply niche expertise
Job score3.6/5
Benefits5/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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