At a Glance
- Tasks: Own end-to-end ML pipelines and collaborate with audio ML researchers.
- Company: Fast-growing audio AI product company revolutionising sound experiences.
- Benefits: Remote work, competitive salary, and opportunities for mentorship.
- Other info: Join a dynamic team with a focus on innovation and growth.
- Why this job: Make a real impact in audio technology while enhancing your skills.
- Qualifications: Experience in production ML systems and strong Python skills required.
The predicted salary is between 63000 - 77000 £ per year.
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.
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.
Proven experience building and operating production ML systems Strong Python and ML frameworks (Py Torch, Tensor Flow) Cloud platforms (AWS, GCP or Azure) and containers / Kubernetes familiarity with audio or speech processing a plus
AWS Engineer - Remote Working in London employer: Intellectual Capital Resources
Join a dynamic and innovative audio AI product company that prioritises employee growth and collaboration in a remote working environment. With a strong focus on cutting-edge technology and a culture of mentorship, you'll have the opportunity to enhance your skills while contributing to impactful projects in machine learning and audio processing. Enjoy the flexibility of remote work alongside a passionate team dedicated to pushing the boundaries of sound experience.
Contact Details:
Intellectual Capital Resources Recruitment Team
StudySmarter Expert Advice🤫
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We think you need these skills to ace AWS Engineer - Remote Working in London
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