AI Engineer β€” Scale Production AI (Hybrid London)

AI Engineer β€” Scale Production AI (Hybrid London)

Full-Time 60000 - 84000 Β£ / year (est.) No working from home possible
StaffHost digital

At a Glance

  • Tasks: Design and deploy innovative AI systems in a dynamic hybrid work environment.
  • Company: Join StaffHost digital, a forward-thinking startup revolutionising AI technology.
  • Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
  • Other info: Fast-paced startup culture with endless opportunities for creativity and collaboration.
  • Why this job: Be at the forefront of AI innovation and make a real impact.
  • Qualifications: 4+ years in AI applications with expertise in LLMs and generative AI.

The predicted salary is between 60000 - 84000 Β£ per year.

StaffHost digital is seeking an AI Engineer to design and deploy AI systems in a hybrid work environment. You will work across the full lifecycle of AI product development, driving innovation through experimentation and collaboration with engineering teams.

Ideal candidates will have 4+ years of experience in building and deploying AI applications, thrive in fast-paced startup settings, and possess a strong understanding of LLMs and generative AI technologies.

AI Engineer β€” Scale Production AI (Hybrid London) employer: StaffHost digital

At StaffHost digital, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. Our London-based hybrid role offers the perfect balance of flexibility and in-person collaboration, along with ample opportunities for professional growth and development in the dynamic field of SAP finance solutions. Join us to be part of a team that values your expertise and encourages you to make a meaningful impact on client success.

StaffHost digital

Contact Details:

StaffHost digital Recruitment Team

We think you need these skills to ace AI Engineer β€” Scale Production AI (Hybrid London)

AI System Design
AI Application Deployment
LLMs (Large Language Models)
Generative AI Technologies
Full Lifecycle Development
Innovation through Experimentation
Collaboration with Engineering Teams