Our client is a fast-growing audio AI product company building cutting-edge machine learning technology that enhances how people experience sound across digital platforms. Their flagship products use ML and signal processing to deliver real-time audio quality improvements at scale — deployed across cloud, edge and embedded environments.
In order to make an application, simply read through the following job description and make sure to attach relevant documents.
The role
A high-impact MLOps role owning end-to-end ML pipelines — from data through training, evaluation and deployment. You'll work closely with audio ML researchers and DSP engineers to move models into production, implement monitoring, build CI/CD pipelines and ensure reproducibility across the full model lifecycle. There is also a mentoring element, helping establish engineering standards across a small ML team. xohmjla
What they're looking for
Proven experience building and operating production ML systems
Strong Python and ML frameworks (PyTorch, TensorFlow)
MLOps, CI/CD and model lifecycle management
Cloud platforms (AWS, GCP or Azure) and containers / Kubernetes
Experience with low-latency or real-time systems; familiarity with audio or speech processing a plus
Mentoring or technical leadership experience desirable
If you're interested, apply now or reach out to Charles Duran at IC Resources.
Senior ML Ops Engineer in Vauxhall employer: Intellectual Capital Resources
Join a dynamic team where innovation meets collaboration, as we empower our Opto Mechanical Engineers to transform cutting-edge optical concepts into tangible products. Our supportive work culture fosters continuous learning and professional growth, with hands-on opportunities in a state-of-the-art laboratory environment. Located in a vibrant area, we offer competitive benefits and a chance to work alongside industry experts, making this an ideal place for those seeking meaningful and rewarding employment.
Contact Details:
Intellectual Capital Resources Recruitment Team
