Senior ML Engineer – End-to-End AI & MLOps (Audio)

Michael Page (UK); City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A recruitment agency is seeking a Senior Machine Learning Engineer in London to design, train, and optimize machine learning models, particularly in audio processing. The role involves developing robust ML pipelines, deploying MLOps systems, and collaborating with teams to deliver impactful solutions within the insurance industry. Candidates should have strong experience with PyTorch and a solid foundation in machine learning. The position offers a competitive salary, comprehensive benefits, and the opportunity to work in an innovative environment.

Benefits

Competitive salary

Comprehensive benefits package

Collaborative work environment

Opportunity to work with the latest technologies

Qualifications

• Strong foundation in ML, deep learning, and optimization.
• Hands-on experience training and deploying ML models.
• Proficiency with cloud platforms, preferably Azure.

Responsibilities

• Design and train machine learning models for audio processing tasks.
• Build and maintain training and inference pipelines using PyTorch.
• Collaborate with teams to translate requirements into ML solutions.

Skills

Machine learning

Deep learning

Python

PyTorch

Docker

MLOps

Audio processing

Cloud platforms

Tools

MLflow

Weights & Biases

DVC

Job description

A recruitment agency is seeking a Senior Machine Learning Engineer in London to design, train, and optimize machine learning models, particularly in audio processing. The role involves developing robust ML pipelines, deploying MLOps systems, and collaborating with teams to deliver impactful solutions within the insurance industry. Candidates should have strong experience with PyTorch and a solid foundation in machine learning. The position offers a competitive salary, comprehensive benefits, and the opportunity to work in an innovative environment.