Senior Machine Learning Engineer – Speech AI (Hybrid, Flexible)

Greenhouse Software, Inc.; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working

Private Medical

Dental for you and family

Global opportunities

Generous holiday allowance

Pension/401K matching

Home office allowance

Parental/adoption support

Job summary

Speechmatics seeks a Senior Machine Learning Engineer to contribute to cutting-edge R&D in Speech AI. You will work on complex projects with a talented modelling team, focusing on transformer architectures and scalable training.

The role blends research and production-ready deployment, with mentoring opportunities and a hybrid office setup. Join a world-leading team advancing speech recognition through innovative ML techniques, collaboration across departments, and a focus on impactful,

Qualifications

• Experience in pursuing ambitious R&D agendas.
• Strong attention to detail while aligning with company goals.
• Familiarity with modern ML stack and transformer architectures.
• Experience with distributed training and model inference optimization.

Responsibilities

• 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.
• Mentor team members across departments where appropriate.

Skills

ML experience

Transformer models

Distributed training

Inference optimization

Publications

Open-source contributions

Technical writing

Tools

GQA

KV-caching

Dynamic batching

Flash attention

Speculative decoding

Job description

Speechmatics seeks a Senior Machine Learning Engineer to contribute to cutting-edge R&D in Speech AI. You will work on complex projects with a talented modelling team, focusing on transformer architectures and scalable training.

The role blends research and production-ready deployment, with mentoring opportunities and a hybrid office setup. Join a world-leading team advancing speech recognition through innovative ML techniques, collaboration across departments, and a focus on impactful,