Machine learning engineer Work, Jobs in Comberton, Cam (with Salaries)

Principal Machine Learning Engineer
Speechmatics —Cambridge
- Hybrid work
- Machine learning
- Python
Software Engineer (Machine Learning)
Arm —Cambridge
- £55,300 - £74,800 a year
- Hybrid work
- Computer Science
- English
- Analysis skills
Machine Learning Engineer | Neurobiology | Dr Albert Cardona | LMB 2611
UK Research and Innovation (UKRI) —Cambridge
- £52,253 - £60,834 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
13d
Machine Learning Research Engineer, Camera Software
Apple —Cambridge
- Doctoral degree
- Computer Science
- Research
4d
Senior Machine Learning Scientist
Flagship Pioneering, Inc. —Cambridge
- Doctoral degree
- Master's degree
- Machine learning
Senior Machine Learning Scientist
Qureight Ltd —Cambridge
- Full-time
- Hybrid work
- Communication skills
- Annual leave
- Life insurance
Quick apply
6d
Staff Engineer (ML Engineer)
Graphcore —Cambridge
- Machine learning
- Linux
- Python
- Annual leave
Machine Learning & AI Materials Scientist
BIOVIA —Cambridge
- Hybrid work
- Doctoral degree
- English
- Master's degree
- Flexible schedule
Data Scientist
Qureight Ltd —Cambridge
- Full-time
- Hybrid work
- Machine learning
- Communication skills
- Annual leave
- Life insurance
Quick apply
7d
Mixer Driver
Holcim —Cambridge
- Weekend availability
- AI
- Communication skills
- Employee discount
Site Engineer
Bellrock Property and Facilities Management —Huntingdon
- Part-time
- Hybrid work
- Construction experience
- AI
- Health & wellbeing programme
- Annual leave
Quick apply
Hardware AI Engineer
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
- Scripting
- AI
- Communication skills
6d
Data Scientist
Amgen —Cambridge
- Remote
- Master's degree
- Machine learning
- AI
1d
Physicist - Consultant
Awerian —Cambridge
- Full-time
- Project management
- Machine learning
- No degree
- Life insurance
Quick apply
Full Stack Engineer
Cambridge Applied Research —Cambridge
- £40,000 - £60,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
- Flexible schedule
Quick apply
Embedded Software Engineer, Ring
Evi Technologies Limited - C67 —Cambridge
- Full-time
- Computer Science
- Engineering
- Maintenance
Staff Product Security Engineer
Altium —Cambridge
- Full-time
- AWS
- Bachelor's degree
- APIs
Quick apply
Backend Engineer (Java+AWS+AI)
RemoteStar —Cambourne
- Java
- AWS
- Analysis skills
- Gym membership
- Flexible schedule
Software Engineer - Java
Worldpay (UK) Limited —Cambridge
- Azure
- Oracle
- Java
Quick apply
Software Development Engineer, AWS S3 Tables
Evi Technologies Limited —Cambridge
- Full-time
- Computer Science
- Java
- AWS

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machine learning engineer jobs near comberton, cam

Principal Machine Learning Engineer

Speechmatics -
Cambridge

Apply Now

Job details

Benefits

Company pension

Qualifications

TensorFlow
Kubernetes
PyTorch
Docker
Machine learning
Python

Full job description

We are hiring a Principal Machine Learning Engineer to work on cutting-edge R&D and translating research into customer-centric solutions.

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 Principal 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.

This is a hands-on, technical leadership role with high ownership. You will develop and deploy advanced speech systems that power our products as well as co-define the technical vision for ML, drive innovation, and mentor engineering teams. Your work will span the entire codebase.

What You'll Do:

Develop and deploy ML models, translating research into scalable, maintainable code and services
Optimise ML models for speed, accuracy, and cost efficiency
Evaluate and integrate cutting-edge approaches into our ML stack
Identify and solve complex ML problems across the organisation
Define and enforce best practices for code quality, model lifecycle management, etc.
Mentor engineers and foster a culture of technical excellence and innovation
Co-define the long-term technical vision

What We're Looking For:

Deep understanding of the modern Machine Learning stack, for example:
- Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices
- Expertise in distributed training techniques
- Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding)
Proven track record of developing and deploying models at scale
Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms
Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes)

With preferred backgrounds covering some of the following:

Experience with speech-to-text or text-to-speech
Contributions to open-source projects or published research in top-tier conferences

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

Apply Now

Refine Your Search

machine learning engineer jobs in comberton, cam

Principal Machine Learning Engineer

Software Engineer (Machine Learning)

Machine Learning Engineer | Neurobiology | Dr Albert Cardona | LMB 2611

Machine Learning Research Engineer, Camera Software

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Staff Engineer (ML Engineer)

Machine Learning & AI Materials Scientist

Data Scientist

Mixer Driver

Site Engineer

Hardware AI Engineer

Data Scientist

Physicist - Consultant

Full Stack Engineer

Embedded Software Engineer, Ring

Staff Product Security Engineer

Backend Engineer (Java+AWS+AI)

Software Engineer - Java

Software Development Engineer, AWS S3 Tables

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