Staff ML Engineer — Speech AI, Scale & Leadership

Mesh-AI Limited; United Kingdom; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading AI company in the United Kingdom is seeking a Staff Machine Learning Engineer to lead efforts on developing advanced speech solutions. This role involves collaborating with cross-functional teams, optimizing ML models, and mentoring junior engineers. The ideal candidate will have deep knowledge of the modern Machine Learning stack and a proven track record in deploying models at scale. The company offers a hybrid working model and a supportive environment focused on innovation and personal development.

Benefits

Flexible working

Private Medical and Dental care

Generous holiday allowance

Pension/401K matching

Working from home allowance

Qualifications

• Proven track record of developing and deploying models at scale.
• Familiarity with optimization strategies for model inference.
• Experience with cloud platforms.

Responsibilities

• Develop and deploy ML models, translating research into scalable solutions.
• Optimise ML models for speed and accuracy.
• Collaborate cross-functionally to align initiatives with business goals.
• Mentor junior engineers.

Skills

Deep understanding of modern Machine Learning stack

Knowledge of contemporary transformer architectures

Expertise in distributed training techniques

Proficiency in Python

Experience with ML frameworks (TensorFlow, PyTorch)

Strong familiarity with software engineering practices

User-centricity in ML solutions

Job description

A leading AI company in the United Kingdom is seeking a Staff Machine Learning Engineer to lead efforts on developing advanced speech solutions. This role involves collaborating with cross-functional teams, optimizing ML models, and mentoring junior engineers. The ideal candidate will have deep knowledge of the modern Machine Learning stack and a proven track record in deploying models at scale. The company offers a hybrid working model and a supportive environment focused on innovation and personal development.