ML Data & Platform Engineer

Speechmatics; London (KY); Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

Private Medical and Dental for you and

Global working opportunities

Generous holiday allowance

Pension/401K matching

Home office equipment allowance

Parental leave support

Job summary

Speechmatics seeks an ML Data & Platform Engineer to own infrastructure powering speech AI models, including data pipelines, data acquisition, and production ML. You’ll work across data infra, distributed systems, and production ML, owning problems end to end.

You’ll join a hybrid team with 2-3 in-office days weekly, focusing on scalable pipelines and observability to accelerate model deployment.

Qualifications

• Proficiency in Python and SQL with backend/data engineering foundation.
• Hands-on experience with Docker, Kubernetes, and a major cloud provider.
• Experience building scalable ETL/ELT data pipelines at scale, including data collection.
• Solid understanding of the ML lifecycle from data to model serving.
• Experience with data quality, validation, cleaning, and observability.
• Ability to design resilient, scalable distributed architectures.
• ML Ops experience (model serving, experiment tracking, GPU training).
• Self-driven with initiative to identify problems and fix them.

Responsibilities

• Design, build, and maintain scalable data pipelines for ingesting, transforming, validating, and storing data.
• Develop web scraping/data acquisition solutions to keep training datasets fresh at scale.
• Build and operate infrastructure for deploying/evaluating models in production.
• Optimize infrastructure for iteration speed and production reliability, including GPU usage and scheduling.
• Implement observability across data pipelines and ML systems to catch issues early.
• Troubleshoot complex issues across distributed systems spanning data, training, and inference.
• Contribute to roadmap for data and MLOps platform evolution as we scale.

Skills

Python

SQL

Distributed systems

Data engineering

MLOps

Observability

Self-starter

Tools

Docker

Kubernetes

Cloud provider (AWS/GCP/Azure)

Job description

We're looking for an ML Data & Platform Engineer to own the infrastructure that powers our speech AI models: the pipelines that source and prepare training data, and the platform that trains, evaluates, and serves them in production. Speech AI has a data problem most ML teams don't, and you'll be at the centre of solving it, working as part of our ML team to remove friction across the entire lifecycle and get better models into production faster.

This is a broad, cross-functional role suited to someone who enjoys working across the full stack: data infrastructure, distributed systems, and production ML, and who takes ownership of problems end to end rather than waiting to be told what to fix.

What you'll do

• Designing, building, and maintaining scalable data pipelines for ingesting, transforming, validating, and storing large datasets used to train our 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
• Optimising infrastructure for both iteration speed and production reliability, including GPU utilisation, job scheduling, and training efficiency
• Implementing observability (monitoring, logging, alerting) across data pipelines and ML systems to catch issues early and keep things running smoothly
• Troubleshooting complex issues across distributed systems, spanning data infrastructure, training, and inference
• Continuously improving our data and MLOps practices, and helping shape the roadmap for how our platform evolves as we scale

What you'll need

• Strong proficiency in Python and SQL, with a solid backend or data engineering foundation
• Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider
• Experience building data pipelines and ETL/ELT processes at scale, including web scraping or automated data collection
• 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
• MLOps experience, for example model serving, experiment tracking, GPU/distributed training optimisation, or reproducible ML workflows
• A self-starter mentality: comfortable identifying problems and driving fixes without needing detailed direction

Who we are:

Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective of their industry or use case – making it the go-to solution to harness useful information from speech.

Joining us means working with some of the smartest minds around the world, focused on cutting-edge projects and deploying the latest techniques to disrupt the market. We believe in putting people first; we’ll do all we can to help you develop your skills and give you the tools you need to thrive. Our Focus Fridays give you an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings, so you've always got the right balance.

We have structured a hybrid approach that includes 2-3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in-person interactions can foster.

This is only the beginning; we’re looking for amazing people like you to continue our journey…

What we can offer you:

• incredibly flexible working
• regular company lunches
• birthday celebrations
• Private Medical, and Dental for you and your family
• global working opportunities
• a generous holiday allowance and pension/401K matching
• a working from home allowance for tech or home office equipment (on top of your choice of laptop and accessories of course)
• Our approach to parental leave is designed to support employees globally
• support in place for parents (including adoption assistance and reproductive health services) to ensure they have the time and financial resources needed to care for their growing families

At Speechmatics, our mission is simple: Understand Every Voice out there.

That’s not just about our tech – it's the heart and soul of who we are. We welcome different experiences, viewpoints, and identities. For us, it’s not just the right thing to do; it’s our catalyst for sparking innovation and creativity. Our teams thrive in an environment that celebrates and supports everyone – no matter their gender, identity or expression, race, disability, age, sexual orientation, religion, belief, marital status, national origin, veteran status, pregnancy, or maternity status.

But we don’t just open the door to diversity – we actively welcome it. Why? Because we believe every unique voice adds something special to our team, leading us to smarter solutions and a better workplace.

So, come as you are and join our Speechling community. We’re building a place where every voice not only gets heard but is also respected and valued.

For more information on us, please visit our website and follow Speechmatics on our social channels via Twitter, Facebook, LinkedIn, and YouTube.

We rely on legitimate interest as a legal basis for processing personal information under the GDPR for recruitment and applications for employment.

#LI-Hybrid