ML Data & Platform Engineer

ML Data & Platform Engineer

Cambridge, England, United Kingdom

About the role

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.

Responsibilities

• Designing, building, and maintaining scalable data pipelines for ingesting, transforming, validating, and storing large datasets used to train 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 data and MLOps practices, and helping shape the roadmap for how the platform evolves as we scale

Requirements

• 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

We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we're looking for, but it is not exhaustive. If you are interested in the role, the team, and our mission, we would love to consider your application.

About Speechmatics

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 customer stacks irrespective of 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.

What we offer

• Flexible working arrangements

• Regular company lunches and birthday celebrations

• Private Medical and Dental coverage for you and your family

• Global working opportunities

• Generous holiday allowance

• Pension/401K matching

• Working from home allowance for tech or home office equipment (on top of your choice of laptop and accessories)

• Parental leave support designed for employees globally, including adoption assistance and reproductive health services

• Training and development support at all career stages, from paid internships through to management and senior positions

Our commitment to diversity

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.

We actively welcome diversity because we believe every unique voice adds something special to our team, leading us to smarter solutions and a better workplace.