Production ML Engineer — Remote, Equity, Real-World Impact in London

Production ML Engineer — Remote, Equity, Real-World Impact in London

London Full-Time 80000 - 98000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build and operate scalable production ML systems while collaborating with innovative teams.
  • Company: Early-stage AI company focused on real-world impact and cutting-edge technology.
  • Benefits: Remote work across Europe, equity options, and a chance to shape the future of AI.
  • Other info: Join a dynamic team with opportunities for growth and innovation.
  • Why this job: Make a real difference by delivering impactful AI solutions in a hands-on role.
  • Qualifications: Experience in machine learning, data pipelines, and model development.

The predicted salary is between 80000 - 98000 £ per year.

C&D Talent Advisory is helping a client—an early-stage AI company—hire a Senior Machine Learning Engineer (Production AI Systems).

You will build and operate production ML systems at scale, collaborating with software and intelligence teams to deliver real-world AI solutions.

This hands-on role spans data pipelines, model development, deployment, and monitoring, with ownership of the ML lifecycle from concept to production.

Remote-friendly across Europe, with equity on offer.

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Production ML Engineer — Remote, Equity, Real-World Impact in London employer: C&D Talent Advisory

C&D Talent Advisory is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration. As a Customer-Facing AI Engineer, you will not only enjoy competitive compensation and equity but also have the unique opportunity to shape the company's presence in the UK while working in a high-autonomy environment that fosters professional growth and development.

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Contact Details:

C&D Talent Advisory Recruitment Team

We think you need these skills to ace Production ML Engineer — Remote, Equity, Real-World Impact in London

Machine Learning
Data Pipelines
Model Development
Deployment
Monitoring
ML Lifecycle Management
Collaboration