Speech ML Engineering Lead | Hybrid & Impact

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

Benefits offered by this job

Flexible working

Company lunches

Birthday celebrations

Private medical insurance

Dental for family

Global working opportunities

Holiday allowance

Pension/401K matching

Home office allowance

Parental leave support

Adoption assistance

Job summary

Speechmatics is hiring a Machine Learning Team Lead to guide a team of ML engineers in delivering cutting-edge speech solutions. The role focuses on mentoring, technical oversight, and cross-functional collaboration to translate research into scalable production systems.

You will drive best practices in ML engineering, plan resource allocation, and align initiatives with business objectives while delivering high-impact results across cloud platforms and modern ML stacks.

Qualifications

• Experience guiding and mentoring ML engineers.
• Ability to prioritise work by impact, feasibility and time-to-value with clear success metrics.
• Strong understanding of modern ML stack: transformers, GQA, KV-caching.
• Expertise in distributed training techniques.
• Knowledge of model inference optimisation: dynamic batching, flash attention, speculative decoding.
• Proven track record of developing and deploying models at scale.
• Proficiency in Python, TensorFlow/PyTorch, and cloud platforms.
• Familiarity with software engineering practices and ML testing frameworks.

Responsibilities

• Lead, mentor, and grow a world-class team of ML engineers.
• Provide technical oversight for end-to-end ML development, ensuring robust, scalable solutions.
• Guide adoption of best practices in software engineering.
• Plan work, allocate resources, and collaborate cross-functionally to align with business goals.
• Drive the ML team's technical work to deliver high-quality solutions.

Skills

Team leadership

Mentoring ML engineers

Python

TensorFlow

PyTorch

Distributed training

Transformer architectures

Dynamic batching

Speculative decoding

Cloud platforms

Software engineering practices

ML testing frameworks

Tools

Kubernetes

Docker

CUDA

MLflow

Job description

Speechmatics is hiring a Machine Learning Team Lead to guide a team of ML engineers in delivering cutting-edge speech solutions. The role focuses on mentoring, technical oversight, and cross-functional collaboration to translate research into scalable production systems.

You will drive best practices in ML engineering, plan resource allocation, and align initiatives with business objectives while delivering high-impact results across cloud platforms and modern ML stacks.