Principal Machine Learning Engineer

Salary: £58,000 - 84,000 per year

Requirements:

• Deep understanding of the modern Machine Learning stack, including contemporary transformer architectures and best practices
• Expertise in distributed training techniques
• Familiarity with model inference optimisation strategies such as dynamic batching, flash attention, and speculative decoding
• Proven track record of developing and deploying models at scale
• Expertise in Python and ML frameworks such as TensorFlow and PyTorch
• Experience with cloud platforms
• Strong familiarity with MLOps principles, CI/CD pipelines, and containerization such as Docker and Kubernetes
• Preferred background in speech-to-text or text-to-speech
• Contributions to open-source projects or published research in top-tier conferences

Responsibilities:

• 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, and related standards
• Mentor engineers and foster a culture of technical excellence and innovation
• Co-define the long-term technical vision

Technologies:

• AI
• CI/CD
• Cloud
• Docker
• Support
• Kubernetes
• Machine Learning
• MLOps
• PyTorch
• Python
• TensorFlow
• Model Serving

More:

We are Speechmatics, a leading expert in Speech Intelligence using AI and Machine Learning to unlock business value in human speech worldwide. Our Modelling Team works on cutting-edge projects, including large self-supervised models, to support our goal of becoming the most accurate speech recognition system globally. This is a hands-on, technical leadership role with high ownership, spanning the entire codebase and helping shape our ML direction. We offer a hybrid working approach with 2-3 designated office days each week, Focus Fridays, Together Tuesdays, flexible working, regular company lunches, birthday celebrations, private medical and dental cover for you and your family, global working opportunities, generous holiday allowance, pension/401K matching, a working-from-home allowance for tech or home office equipment, and support for parental leave and family-related benefits. We value diversity, inclusion, and people-first development, and we welcome different experiences, viewpoints, and identities to help drive innovation and creativity.

last updated 35 week of 2026