Field AI Engineer - Edge & Cloud Deployments

Field AI Engineer - Edge & Cloud Deployments

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Arondite

At a Glance

  • Tasks: Deploy AI/ML models and solve real customer problems with cutting-edge technology.
  • Company: Join Arondite, a mission-focused team driving impactful AI solutions.
  • Benefits: Enjoy competitive pay, travel opportunities, and a chance to shape the future of AI.
  • Other info: Opportunity for career growth while working on innovative projects across the UK.
  • Why this job: Take ownership from Day One and collaborate with experts in a dynamic environment.
  • Qualifications: Experience in AI/ML deployment and a passion for ethical technology.

The predicted salary is between 70000 - 90000 Β£ per year.

Arondite is seeking Deployed AI Engineers to understand customer problems and implement AI solutions.

You will deploy AI/ML models in cloud and edge devices, shaping AI within a high-performance, mission-focused team.

Expect ownership from Day One and collaboration with experts to deliver impactful, responsible AI.

You will work across AI/ML model deployment, data collection, ethics, and model explainability, contributing to products and internal processes while travel to UK locations as needed.

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Field AI Engineer - Edge & Cloud Deployments employer: Arondite

Arondite is an exceptional employer that fosters a collaborative and innovative work culture, where engineers are empowered with high levels of autonomy from Day One. Located in the UK, we offer competitive salaries, generous equity options, and comprehensive benefits including private health insurance and a supportive environment for personal development. Join us to tackle meaningful challenges alongside brilliant minds, while enjoying a vibrant office atmosphere and opportunities for growth in a mission-driven company.

Arondite

Contact Details:

Arondite Recruitment Team

We think you need these skills to ace Field AI Engineer - Edge & Cloud Deployments

AI/ML Model Deployment
Cloud Computing
Edge Computing
Data Collection
Ethics in AI
Model Explainability
Collaboration