AI Infrastructure Engineer — Multi-Cloud & Kubernetes
Space Executive
Greater London
On-site
GBP 90,000 - 130,000
Full time
14 days+
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Benefits offered by this job
Fast-growing company
Real-world AI deployments
High-performance culture
Job summary
A pioneering tech company based in the UK is looking for an Infrastructure AI Engineer to design and manage cutting-edge AI infrastructure for enterprise deployments. The ideal candidate should have strong cloud infrastructure experience and be adept with Kubernetes and Docker. This full-time role focuses on architecting AI solutions across multi-cloud environments, engaging closely with clients to tailor solutions, and implementing best practices for security and scalability. Join the team at the forefront of AI innovation and help drive transformations in analytics workflows.
Qualifications
Experience with at least one major cloud provider: AWS, Azure, or GCP.
Ability to manage hybrid or multi-cloud and on-premise systems.
Strong understanding of AI/ML deployment patterns.
Responsibilities
Architect and maintain production-grade AI solutions in multi-cloud and on-premise infrastructures.
Design Kubernetes environments for high-performance AI workloads.
Implement best practices for scalability and security in AI infrastructure.
Collaborate with clients for tailored deployment solutions.
Skills
Cloud infrastructure engineering
Kubernetes
Docker
DevOps best practices
CI/CD automation
Client-facing communication
Tools
Terraform
Helm
Job description
A pioneering tech company based in the UK is looking for an Infrastructure AI Engineer to design and manage cutting-edge AI infrastructure for enterprise deployments. The ideal candidate should have strong cloud infrastructure experience and be adept with Kubernetes and Docker. This full-time role focuses on architecting AI solutions across multi-cloud environments, engaging closely with clients to tailor solutions, and implementing best practices for security and scalability. Join the team at the forefront of AI innovation and help drive transformations in analytics workflows.