Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

Apply at Speechmatics

What you’ll bring

All qualifications

Core experience

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
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

Qualification wording

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

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

Tools in this posting

Python
SQL
Docker
Kubernetes

Source

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

- 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

About Speechmatics

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

In the employer’s words · Read in context

Job description

View original posting ↗

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

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. We are always open to conversations and look forward to hearing from you.

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 and pension/401K matching, we want to make sure our employees and their families are looked after. Every employee will receive 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. While this varies by geo, we have 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 purposes of recruitment and applications for employment. #LI-Hybrid

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on job-boards.eu.greenhouse.io. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: No pay amount identified in the saved description.
Location & working pattern: Cambridge, England, United Kingdom
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…
More source context
We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment. #LI-Hybrid
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at job-boards.eu.greenhouse.io ↗Read the full description ↓

Status in our records: Active
First seen by us: Sep 7, 2026
Recorded sightings: 11
Last seen by us: Oct 9, 2026
Employer says posted: Sep 4, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Upload resume Add LinkedIn