ML Data & Platform Engineer

Highlights

• Own the infrastructure powering speech AI models to production.
• Build pipelines that source and prepare large training datasets.
• Operate the platform that trains, evaluates and serves models.

What they offer

• Private medical and dental for you and your family
• Generous holiday allowance
• Pension/401K matching
• Working from home allowance plus laptop and accessories
• Parental leave support including adoption assistance
• Global working opportunities
• Focus Fridays for undisturbed focus time

Ideal candidate

A self-directed engineer who loves owning end-to-end platform problems spanning data and production ML. You thrive in cross-functional work, removing friction to ship better models faster.

Requirements

• Strong proficiency in Python and SQL, with solid backend or data engineering foundation
• Hands-on experience with containerisation and orchestration (Docker, Kubernetes) and major cloud provider
• Experience building data pipelines and ETL/ELT processes at scale, including web scraping
• Solid understanding of ML lifecycle from data through training, evaluation and serving
• Experience with data quality practices and/or production-grade observability
• Ability to design resilient, scalable architectures and troubleshoot distributed systems
• MLOps experience e.g. model serving, experiment tracking, GPU/distributed training optimisation
• Self-starter mentality comfortable identifying problems and driving fixes