ML Data & Platform Engineer

Speechmatics; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working

Private Medical

Dental for you and family

Global opportunities

Generous holiday allowance

Job summary

Speechmatics is seeking an ML Data & Platform Engineer to own the infrastructure powering our speech AI models. You will design data pipelines, implement data acquisition at scale, and operate the platform that trains, evaluates, and serves models in production.

You'll work on observability, scalable architectures, and GPU-optimised training while collaborating with the ML team. We offer flexible working with 2–3 in-office days per week in London and opportunities to grow.

Qualifications

• Strong Python and SQL skills with backend/data engineering foundation.
• Experience building data pipelines and ETL/ELT at scale.
• Knowledge of ML lifecycle from data to training and serving.
• Experience with web scraping or automated data collection is a plus.
• Familiarity with observability, data quality, and distributed systems.

Responsibilities

• Design, build and maintain scalable data pipelines for large datasets.
• Develop data acquisition solutions to keep training data fresh at scale.
• Operate infrastructure for model deployment, evaluation and serving in production.
• Optimize GPU usage, job scheduling and training efficiency.
• Implement monitoring, logging and alerting across pipelines and ML systems.
• Troubleshoot complex distributed systems and improve MLOps practices.

Skills

Python

SQL

Backend

Data pipelines

ETL/ELT

Docker

Kubernetes

Cloud computing

ML lifecycle

MLOps

Observability

Distributed systems

Education

Bachelor's degree or equivalent

Tools

Docker

Kubernetes

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.

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:

• No matter what stage of your career you're at - from paid internships and first-job opportunities through to management and senior positions - we'll support you with the training and development needed to reach your career aspirations with us. There really is no shortage of opportunities here for you to get involved and collaborate with those around you to deliver your best work.
• We offer incredibly flexible working, regular company lunches, and birthday celebrations. But that's not all. We've spoken to our teams to find out what they want. From Private Medical, and Dental for you and your family, through to global working opportunities, a generous holiday allowance