AI Engineer β€” Hybrid: Build Production AI Apps in Newbury

AI Engineer β€” Hybrid: Build Production AI Apps in Newbury

Newbury Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build production-grade AI applications and collaborate with top engineers.
  • Company: VodafoneThree, a leader in innovative technology solutions.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Exciting projects in a supportive environment with career advancement potential.
  • Why this job: Join a dynamic team and shape the future of AI technology.
  • Qualifications: Experience in retrieval-augmented generation and API-driven architectures.

The predicted salary is between 60000 - 80000 Β£ per year.

VodafoneThree is recruiting an AI Engineer in a hybrid role based in Newbury/London to build production-grade AI products within a specialised environment. You will collaborate with Senior and Principal AI Engineers to implement features, integrate models, and ship working software as part of the AI & Data Science team.

The ideal candidate will have strong experience in retrieval-augmented generation, prompt engineering, and API-driven architectures, with a focus on operational efficiency.

AI Engineer β€” Hybrid: Build Production AI Apps in Newbury employer: VodafoneThree

VodafoneThree is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Newbury. With a strong commitment to employee growth, we provide extensive training opportunities and personalized benefits, ensuring our team members thrive both professionally and personally. The hybrid work model enhances work-life balance, making VodafoneThree a rewarding place for those looking to make a meaningful impact in enterprise delivery transformation.

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Contact Details:

VodafoneThree Recruitment Team

We think you need these skills to ace AI Engineer β€” Hybrid: Build Production AI Apps in Newbury

Retrieval-Augmented Generation
Prompt Engineering
API-Driven Architectures
Operational Efficiency
Collaboration
Software Development
Model Integration