Senior ML Engineer, Speech AI R&D — Hybrid, Global Impact

Speechmatics; Cambridge; Hybrid; GBP 85,000 - 120,000; Full time

Benefits offered by this job

Training & development

Flexible working

Company lunches

Birthday celebrations

Private medical & dental

Global opportunities

Holiday allowance & pension

Home office allowance

Parental leave support

Adoption & reproductive health

Job summary

Speechmatics in Cambridge is seeking a Senior Machine Learning Engineer to advance state-of-the-art speech models and deployment practices. You will contribute to cutting-edge research, collaborate across teams, and help translate research into production-quality systems.

You’ll work on diverse R&D projects, keep up with latest ML trends, and drive high-impact results while mentoring teammates. The role follows a hybrid pattern with 2–3 designated office days weekly and offers global

Qualifications

• Collaborative R&D track record in ambitious agendas.
• Strong attention to detail with big-picture alignment in ML.
• Proficiency with transformer models and related architectures.
• Experience with distributed training setups and scales.
• Knowledge of optimization for model inference (dynamic batching, flash attention).
• Publications in top-tier conferences.
• Contributions to popular open-source projects.
• Demonstrated technical writing through papers or blogs.

Responsibilities

• Work on complex R&D projects with an engineering team to hit ambitious goals.
• Stay updated on the latest developments in machine learning.
• Execute high-impact projects to drive team success.
• Mentor team members and collaborate across departments.

Skills

R&D collaboration

Attention to detail

Transformer architectures

Distributed training

Model inference optimization

Technical writing

Job description

Speechmatics in Cambridge is seeking a Senior Machine Learning Engineer to advance state-of-the-art speech models and deployment practices. You will contribute to cutting-edge research, collaborate across teams, and help translate research into production-quality systems.

You’ll work on diverse R&D projects, keep up with latest ML trends, and drive high-impact results while mentoring teammates. The role follows a hybrid pattern with 2–3 designated office days weekly and offers global