Time since we first saw it
Day 30
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.
Senior Machine Learning Engineer
Cambridge, England, United Kingdom
Live, first seen by us 30 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingWork on complex R&D projects with a diverse group of engineers
Execute high-impact projects to ensure team success
Stay current with the latest developments in machine learning
Work across departments and mentor team members where appropriate
From the employer’s posting
Work on complex R&D projects, with a diverse group of engineers
Execute high-impact projects to ensure team success.
Stay current with the latest developments in Machine learning.
Work collaboratively across departments and mentor team members (where appropriate).
What you’ll bring
All qualificationsCore experience
- Demonstrated experience pursuing ambitious R&D agendas collaboratively
- Understanding of the modern ML stack, including transformer architectures
- Experience in distributed training techniques
- Familiarity with inference optimisation such as dynamic batching and flash attention
Preferred experience
- Publications in top-tier conferences
- Contributions to popular open-source repositories
- Technical writing skills shown through publications or blogs
Qualification wording
Demonstrated experience in collaboratively pursuing ambitious R&D agendas.
Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices.
Experience in distributed training techniques.
Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding).
Publications in top-tier conferences.
Contributions to popular open-source repositories.
Technical writing skills as evidenced by relevant publications or blogs.
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
- Oct 6, 202630 days ago
- Recorded sightings
- 24
- Last seen by us
- Nov 5, 2026
- Employer says posted
- Oct 2, 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
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Has Speechmatics posted this job before?
Yes. We’ve followed one other Senior Machine Learning Engineer job there since October 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 are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice - a vision that has propelled us to be world leaders of Voice AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Senior Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions.
Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving.
What you’ll be doing:
- Work on complex R&D projects, with a diverse group of engineers, to achieve ambitious goals.
- Stay current with the latest developments in Machine learning.
- Execute high-impact projects to ensure team success.
- Work collaboratively across departments and mentor team members (where appropriate).
Who we are looking for:
- Demonstrated experience in collaboratively pursuing ambitious R&D agendas.
- Precise attention to detail, but is also aware of how the big picture relates to company goals, and where the field of Machine Learning is headed towards.
- Understanding of the modern Machine Learning stack, for example:
- Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices.
- Experience in distributed training techniques.
- Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding). - With preferred backgrounds covering some of the following:
- Publications in top-tier conferences.
- Contributions to popular open-source repositories.
- Technical writing skills as evidenced by relevant publications or blogs.
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.