ML Data & Platform Engineer at Speechmatics

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Job Title ML Data & Platform Engineer

Salary Not Disclosed

Company Description Speechmatics is the leading expert in Speech Intelligence, using advanced AI and Machine Learning to unlock the value of human speech for global enterprise customers.

Job Description You will own the full data and infrastructure layer behind Speechmatics' world-class speech models. This greenfield mandate involves building a modern ML platform from scratch to replace legacy systems while driving a complex ML data strategy. You'll bridge the gap between data engineering and production ML to accelerate model delivery.

Location London, UK

Why this role is remarkable

• True Greenfield Mandate: You aren't maintaining a legacy stack; you'll build a modern, SaaS-based ML platform from the ground up to replace existing internal systems.
• Unique Scale Challenges: Solve the specialized data problems unique to Speech AI, managing the sourcing, validation, and storage of massive training datasets for frontier-level models.
• Strategic Ownership: Work as a core part of the ML team with the autonomy to identify friction and define the technical roadmap, rather than just executing a backlog.

What You Will Do

• Design and build scalable data pipelines in Python and SQL for ingesting and transforming massive datasets, including automated web scraping and acquisition solutions.
• Develop a high-performance ML platform to train, evaluate, and serve models, optimizing for GPU utilization, job scheduling, and distributed training efficiency.
• Implement production-grade observability and troubleshooting for distributed systems to ensure the reliability and speed of the entire ML lifecycle.

The ideal candidate

• Strong background in backend or data engineering with deep proficiency in Python, SQL, and hands-on experience with Docker, Kubernetes, and major cloud providers.
• Proven experience building large-scale ETL/ELT pipelines and automated data collection systems, ideally within a high-growth speech AI or frontier model environment.
• A builder’s mindset with a solid understanding of the full ML lifecycle, from data curation and MLOps to model serving and distributed training optimization.

Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

How does this work?

• Jack's an AI agent for job searching and career coaching. He works for you.
• Jill is the AI recruiter working for the company. She recruits from Jack's network.
• If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.

We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

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We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

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