Time since we first saw it
Day 59
Similar jobs usually come down between day 6 and day 70.
From 4,470 similar postings that came down. Coming down is not always a hire.
ML Data & Platform Engineer
Cambridge, England, United Kingdom
Live, first seen by us 59 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and maintain scalable data pipelines for training datasets
Build web scraping and data acquisition to keep training data fresh
Build and operate infrastructure to deploy, evaluate and serve models
Optimise GPU utilisation, job scheduling and training efficiency
Implement monitoring, logging and alerting across pipelines and ML systems
From the employer’s posting
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
What you’ll bring
All qualificationsCore 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
About Speechmatics
At Speechmatics, our mission is simple: Understand Every Voice out there.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 7, 202659 days ago
- Recorded sightings
- 33
- Last seen by us
- Nov 5, 2026
- Employer says posted
- Sep 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Speechmatics is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Docker
- Kubernetes
Where the posting names them
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
Your next step
Complete your application on job-boards.eu.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has Speechmatics posted this job before?
Yes. We’ve followed one other ML Data & Platform Engineer job there since September 2026. It is still up.
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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
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-HybridSource details
Source notes
Source excerptsSelected 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.