Production AI Deployment Engineer (Hybrid: London/Bristol)

Production AI Deployment Engineer (Hybrid: London/Bristol)

Full-Time 80000 - 130000 £ / year (est.) No working from home possible
Emponics

At a Glance

  • Tasks: Build and maintain AI deployment infrastructure while integrating solutions into business systems.
  • Company: Emponics, a forward-thinking company in the AI space.
  • Benefits: Competitive salary, excellent benefits, and hybrid work model.
  • Other info: Opportunity for career growth in a fast-evolving industry.
  • Why this job: Join a dynamic team and shape the future of AI technology.
  • Qualifications: Experience in data infrastructure and AI solutions integration.

The predicted salary is between 80000 - 130000 £ per year.

Emponics is seeking an AI Deployment Engineer with a focus on building and maintaining the infrastructure for AI deployments. This hybrid role can be based in either Bristol or London, ideally requiring 3 days in the office. The salary ranges from £80,000 to £130,000 per annum, depending on experience, alongside excellent benefits.

The right candidate will own the data infrastructure, integrating AI solutions into business systems and ensuring reliability at scale. You will also be involved in troubleshooting and managing data models supporting AI deployments.

Production AI Deployment Engineer (Hybrid: London/Bristol) employer: Emponics

Emponics is an exceptional employer that fosters a dynamic work culture, encouraging innovation and collaboration among its team members. With a strong focus on employee growth, we offer extensive training and development opportunities, ensuring that our staff can thrive in their careers while working on cutting-edge AI technologies. Our hybrid work model allows for flexibility between our vibrant London and Bristol offices, making it an ideal environment for those seeking meaningful and rewarding employment.

Emponics

Contact Details:

Emponics Recruitment Team

We think you need these skills to ace Production AI Deployment Engineer (Hybrid: London/Bristol)

AI Deployment
Infrastructure Management
Data Integration
Reliability Engineering
Troubleshooting
Data Modelling
Scalability Solutions