{"id":2257,"date":"2026-07-01T23:05:21","date_gmt":"2026-07-01T23:05:21","guid":{"rendered":"https:\/\/coderseditor.com\/itjobs\/job\/senior-ml-ops-engineer\/"},"modified":"2026-07-01T23:05:21","modified_gmt":"2026-07-01T23:05:21","slug":"senior-ml-ops-engineer","status":"publish","type":"job_listing","link":"https:\/\/coderseditor.com\/itjobs\/job\/senior-ml-ops-engineer\/","title":{"rendered":"Senior ML Ops Engineer"},"content":{"rendered":"

Senior ML Ops Engineer Overview<\/h2>\n\n\n\n\n\n\n\n\n
Company Name<\/strong><\/td>\nIC Resources Recruitment<\/td>\n<\/tr>\n
Job Role<\/strong><\/td>\nSenior ML Ops Engineer<\/td>\n<\/tr>\n
Qualifications<\/strong><\/td>\nNot Specified<\/td>\n<\/tr>\n
Category<\/strong><\/td>\nIT Jobs<\/td>\n<\/tr>\n
Job Type<\/strong><\/td>\nFull Time<\/td>\n<\/tr>\n
Location<\/strong><\/td>\nLondon<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

This role sits within a fast-growing audio AI product business that is developing advanced machine-learning technology to improve how people experience sound across digital products and platforms. The company\u00e2\u0080\u0099s core products combine machine learning with signal processing to provide real-time audio quality enhancements, and these systems are deployed across cloud, edge, and embedded environments.<\/p>\n

What you will do<\/h3>\n
    \n
  • Take ownership of the full machine-learning operations workflow, covering everything from data handling and model training through to evaluation and production deployment.<\/li>\n
  • Design, build, and support production ML pipelines that can reliably move models from development into live use.<\/li>\n
  • Partner closely with audio machine-learning researchers and DSP engineers to turn research outputs into production-ready systems.<\/li>\n
  • Implement monitoring and operational controls for deployed models so that performance, stability, and other production signals can be observed and managed.<\/li>\n
  • Develop and maintain CI\/CD pipelines tailored to machine-learning delivery and release processes.<\/li>\n
  • Improve reproducibility across the model lifecycle so that experiments, training runs, and deployments can be repeated and trusted.<\/li>\n
  • Contribute to the establishment of engineering standards and best practices across a small ML team, with a mentoring and guidance element built into the role.<\/li>\n
  • Support the deployment and operation of ML solutions that must perform in low-latency, real-time, and distributed environments.<\/li>\n<\/ul>\n

    What the employer is looking for<\/h3>\n
      \n
    • Proven experience building and operating machine-learning systems in a production setting.<\/li>\n
    • Strong Python skills and practical experience with major ML frameworks, especially PyTorch and TensorFlow.<\/li>\n
    • Solid understanding of MLOps practices, CI\/CD workflows, and end-to-end model lifecycle management.<\/li>\n
    • Experience working with cloud platforms such as AWS, GCP, or Azure.<\/li>\n
    • Hands-on knowledge of containers and Kubernetes.<\/li>\n
    • Experience with low-latency or real-time systems is important.<\/li>\n
    • Background in audio processing or speech-related work would be beneficial, though it is not stated as mandatory.<\/li>\n
    • Mentoring ability or prior technical leadership experience would be an advantage.<\/li>\n<\/ul>\n

      What is on offer<\/h3>\n
        \n
      • A competitive salary package.<\/li>\n
      • The chance to work on leading-edge audio AI technology with real-world impact.<\/li>\n
      • A high-responsibility role with ownership across the full ML production lifecycle.<\/li>\n
      • Close collaboration with specialist researchers and engineers in audio ML and DSP.<\/li>\n
      • The opportunity to help shape technical standards and support the development of a small team.<\/li>\n<\/ul>\n

        How to apply<\/h3>\n

        Interested candidates are invited to apply now or contact Charles Duran at IC Resources for a conversation about the role.<\/p>\n

        The listing also provides a direct contact point for Charles Duran, including a phone number and email address, and includes an option to request a call.<\/p>\n

        Additional notes<\/h3>\n

        The role is advertised for London, England. The posting does not specify whether the position is remote, hybrid, or fully onsite. No information is given on UK visa sponsorship or right-to-work requirements.<\/p>\n\n

        Degree Requirement:<\/strong> Not Specified<\/p>\n

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