About this role
Salary: £59,000 - 99,000 per year
Requirements: Proven experience building and operating production ML systemsStrong Python skills and experience with ML frameworks such as PyTorch or TensorFlowExperience with MLOps, CI/CD, and model lifecycle managementExperience with cloud platforms such as AWS, GCP, or Azure, and with containers/KubernetesExperience with low-latency or real-time systemsFamiliarity with audio or speech processing is a plusMentoring or technical leadership experience is desirable Responsibilities: Own end-to-end ML pipelines from data through training, evaluation, and deploymentWork closely with audio ML researchers and DSP engineers to move models into productionImplement monitoring and CI/CD pipelinesEnsure reproducibility across the full model lifecycleHelp establish engineering standards across a small ML team through mentoring Technologies: AIAWSAzureCI/CDCloudEmbeddedGCPKubernetesMachine LearningMLOpsPyTorchPythonTensorFlow More:
We are a fast-growing audio AI product company building cutting-edge machine learning technology that enhances how people experience sound across digital platforms. Our flagship products use machine learning and signal processing to deliver real-time audio quality improvements at scale, deployed across cloud, edge, and embedded environments. This is a high-impact role within a small ML team, working closely with audio ML researchers and DSP engineers.
last updated 36 week of 2026