Senior AI Engineer - GCP & GenAI/MLOps Expert

Senior AI Engineer - GCP & GenAI/MLOps Expert

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and deploy high-performance AI solutions on GCP with cutting-edge technologies.
  • Company: Join Quantiphi, a leader in innovative AI solutions and cloud-native architectures.
  • Benefits: Competitive salary, travel opportunities, and a chance to work with global teams.
  • Other info: Dynamic role with opportunities for travel and professional growth.
  • Why this job: Make an impact in AI while collaborating on exciting projects across the globe.
  • Qualifications: Strong Python, DevOps/MLOps, and CI/CD skills required; fluency in English preferred.

The predicted salary is between 63000 - 77000 Β£ per year.

Quantiphi is seeking an Artificial Intelligence Engineer to design, develop and deploy high-performance data platforms and agentic AI solutions.

The role focuses on cloud-native architectures on GCP, including Alloy DB, GCS and GKE, and requires strong Python, Dev Ops/MLOps, and CI/CD expertise.

You will collaborate with global teams, support customer projects, and leverage Gen AI and multi-agent frameworks.

Travel to Spain/customer sites is expected; fluency in English (and Spanish) is preferred.

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Senior AI Engineer - GCP & GenAI/MLOps Expert employer: Quantiphi

Quantiphi is an exceptional employer that champions innovation and collaboration in the AI services sector. With a strong focus on employee growth, we offer comprehensive training and development opportunities, fostering a dynamic work culture that values creativity and strategic thinking. Working remotely in the UK, you'll enjoy the flexibility to balance your professional and personal life while contributing to transformative projects in the insurance industry.

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Contact Details:

Quantiphi Recruitment Team

We think you need these skills to ace Senior AI Engineer - GCP & GenAI/MLOps Expert

Artificial Intelligence
Cloud-Native Architectures
GCP (Google Cloud Platform)
AlloyDB
GCS (Google Cloud Storage)
GKE (Google Kubernetes Engine)
Python