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Jack & Jill

Principal Machine Learning Engineer (Up to £135k + Equity) at Speechmatics

Cambridge
£135k/yr
Posted about 17 hours ago
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Job Title

Principal Machine Learning Engineer

Salary

Up to £135,000 + Equity

Company Description

Speechmatics is a $62M Series B speech-to-text intelligence leader based in Cambridge and London, pioneering world-class Voice AI that supports over 55 languages.

Job Description

As a Principal Machine Learning Engineer, you will co-define Speechmatics’ technical vision while remaining hands-on in the Modelling Team. You will bridge the gap between cutting-edge research and production systems, developing next-generation transformer models and optimizing inference for global scale. This is a high-ownership role focused on shipping real-world impact.

Location

London, UK

Why this role is remarkable

  • Lead the technical direction of a $62M Series B scale-up that recently saw 4x growth in real-time usage and serves global customers.
  • Work at the rare intersection of high-rigor ML research and large-scale production, shipping models that solve real-world problems like accents and noise.
  • Take full ownership of technical domains, raising the bar for a talented team of 10+ engineers while developing groundbreaking bilingual and medical models.

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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It searches the market for you

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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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Strong

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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Only hits

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

What You Will Do

  • Develop and deploy advanced ML models using Python and PyTorch, translating research into scalable, maintainable production services and services.
  • Optimise large-scale model inference using strategies like dynamic batching, flash attention, and speculative decoding to improve speed and cost efficiency.
  • Define and enforce best practices for model lifecycle management, data quality, and evaluations across the entire ML stack.

The ideal candidate

  • Deep expertise in building and shipping production-grade ML systems, with a strong foundation in modern transformer architectures and self-supervised learning.
  • Proven track record in distributed training and optimizing inference at scale, bridging the gap between research models and production-ready code.
  • Expert proficiency in Python and ML frameworks such as PyTorch, complemented by experience in MLOps, CI/CD pipelines, and containerization.

Who are Jack & Jill?

Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

Get help with your application

Your very own career expert that helps elevate your application to the next level.

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And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

How does this work?

Jack's an AI agent for job searching and career coaching. He works for you.

Jill is the AI recruiter working for the company. She recruits from Jack's network.

If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.

We never post fake jobs

This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

Give Jack a spin! You could land this role.

If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

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Skills

Machine Learning
Python
PyTorch
Transformer Architectures
Self-supervised Learning
Distributed Training
Model Inference Optimization
MLOps
CI/CD
Containerization
Dynamic Batching
Flash Attention
Speculative Decoding
Model Lifecycle Management

Location

Cambridge, England, United Kingdom

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