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 [Employer hidden — sign up to reveal] 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.

Who we are

[Employer hidden — sign up to reveal] 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.

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.

We offer incredibly flexible working, regular company lunches, and birthday celebrations. 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.

Apply

Interested? Apply via the [Employer hidden — sign up to reveal] job board. Back to jobs | Visit our website