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Speechmatics

ML Data & Platform Engineer

Cambridge
Posted about 21 hours ago
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ML Data & Platform Engineer

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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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.

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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.

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Skills

Python
SQL
Docker
Kubernetes
Cloud computing
Data pipelines
ETL/ELT
Web scraping
MLOps
Model serving
Distributed systems
Observability
GPU optimization
Data validation
Infrastructure as code

Location

Cambridge, England, United Kingdom

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