Senior ML Engineer: Build Production AI Remotely

Senior ML Engineer: Build Production AI Remotely

Full-Time 65000 - 85000 £ / year (est.) No working from home possible
Hexwired Recruitment Limited

At a Glance

  • Tasks: Design, develop, and deploy scalable AI solutions in a hands-on role.
  • Company: Join an innovative AI tech company at the forefront of machine learning.
  • Benefits: Enjoy remote work flexibility and competitive compensation.
  • Other info: Be part of a small, highly technical team with exciting growth potential.
  • Why this job: Make a real impact by building next-generation AI systems from scratch.
  • Qualifications: Proven experience in machine learning and a passion for technology.

The predicted salary is between 65000 - 85000 £ per year.

Hexwired Recruitment has partnered with an innovative AI technology company developing next‑generation machine learning systems for real‑world applications.

They’re seeking an experienced Machine Learning Engineer to join a small, highly technical team building production‑grade AI solutions from the ground up.

This hands‑on role features ownership of ML components across the lifecycle—design, development and deployment of scalable systems.

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Senior ML Engineer: Build Production AI Remotely employer: Hexwired Recruitment Limited

Hexwired Recruitment Limited is an exceptional employer, offering a dynamic work environment in Bristol where innovation meets collaboration. With a strong focus on employee growth, the company provides comprehensive benefits and opportunities for professional development, making it an ideal place for Embedded Linux Engineers to thrive in cutting-edge projects across diverse industries such as Medical and IoT.

Hexwired Recruitment Limited

Contact Details:

Hexwired Recruitment Limited Recruitment Team

We think you need these skills to ace Senior ML Engineer: Build Production AI Remotely

Machine Learning
AI Solutions Development
System Design
Software Development
Deployment of Scalable Systems
Technical Ownership
Lifecycle Management