HHiring Reality
← Speechmatics

ML Data & Platform Engineer

Speechmatics
Location
Cambridge, 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
  • A solid understanding of the ML lifecycle from data through to model training, evaluation, and serving
  • Experience with data quality practices (validation, cleaning, normalisation) and/or production-grade observability
  • Ability to design resilient, scalable architectures and comfort operating and troubleshooting distributed systems
What the job really is

As an ML Data & Platform Engineer, you will be responsible for designing and maintaining the infrastructure that supports speech AI models, including data pipelines and model deployment systems. Your role will involve optimizing these systems for performance and reliability, implementing observability practices, and troubleshooting issues across distributed systems. You will work closely with the ML team to enhance data and MLOps practices, ensuring efficient model training and serving.

Benefits
  • Flexible working
  • Regular company lunches
  • Birthday celebrations
  • Private Medical and Dental for you and your family
  • Global working opportunities
  • Generous holiday allowance
Things to weigh
  • No salary listed
  • Role involves a broad range of responsibilities across data infrastructure and production ML
  • Hybrid work model with 2-3 designated office days each week
Job score3.8/5
Benefits5/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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