Senior ML Ops Engineer in London

Senior ML Ops Engineer in London

London Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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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: Competitive salary, flexible work options, and opportunities for mentorship.
  • Other info: Join a dynamic team with excellent growth potential and mentoring opportunities.
  • Why this job: Make a real impact in audio technology while advancing your career.
  • 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.

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.

What they're looking for Proven experience building and operating production ML systems Strong Python and ML frameworks (Py Torch, Tensor Flow) 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 London employer: Intellectual Capital Resources

Join a leading global technology company in their vibrant Cambridge office, where innovation meets opportunity. As a Staff Design Engineer, you'll enjoy a collaborative work culture that fosters creativity and technical leadership, alongside competitive compensation and benefits, including stock options. With a focus on employee growth and continuous improvement, this role offers the chance to make a significant impact in the dynamic semiconductor industry.

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Contact Details:

Intellectual Capital Resources Recruitment Team

We think you need these skills to ace Senior ML Ops Engineer in London

MLOps
Python
PyTorch
TensorFlow
CI/CD
Model Lifecycle Management
Cloud Platforms (AWS, GCP, Azure)