AI Platform Engineer - MLOps & Cloud Infra

Faculty; Greater London; Ibrido; GBP 70.000 - 110.000; Tempo pieno

Vantaggi offerti da questo lavoro

Unlimited Annual Leave Policy

Private healthcare and dental

Enhanced parental leave

Family-Friendly Flexibility & Flexible

Sanctus Coaching

Hybrid Working

Descrizione del lavoro

Faculty is seeking a Software Engineer for the AI Platform team in the UK. You will architect infrastructure enabling world-class AI, working with data scientists and engineers to deploy production-grade ML solutions across client environments.

You’ll own MLOps tooling, evolve the tech stack, and collaborate with a small team to design scalable, secure infrastructure across multiple clouds. Hybrid working is offered.

Competenze

• Proficient in modern systems programming (Python/Go).
• Hands-on experience with containerisation and orchestration (Docker/Kubernetes).
• Infrastructure as Code using Terraform or CloudFormation.
• Strong DevSecOps practices and security-minded delivery.

Mansioni

• Own deployment and MLOps tooling to improve delivery quality and reliability.
• Evolve tech stack by building notebook environments and refining model monitoring.
• Collaborate with a small, fast-moving team of customer-facing technologists to design infrastructure.
• Implement infrastructure-as-code and DevSecOps for distributed microservices architectures.
• Integrate core platform services across AWS, Azure and GCP for global clients.
• Scale internal enablement to reduce technical friction and accelerate ML deployment.

Conoscenze

Python

Go

MLOps

DevSecOps

Strumenti

Docker

Kubernetes

Terraform

CloudFormation

Descrizione del lavoro

Faculty is seeking a Software Engineer for the AI Platform team in the UK. You will architect infrastructure enabling world-class AI, working with data scientists and engineers to deploy production-grade ML solutions across client environments.

You’ll own MLOps tooling, evolve the tech stack, and collaborate with a small team to design scalable, secure infrastructure across multiple clouds. Hybrid working is offered.