Platform AI Engineer: MLOps & Infra Architect

Faculty; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Faculty in London is seeking a Software Engineer for the AI Platform to architect the infrastructure that enables world‑class AI. You'll work with the Applied AI team, building data science tooling, MLOps, and production‑grade deployment pipelines used by 100+ engineers.

You will own deployment tooling, evolve the tech stack, collaborate in a small team, implement IaC and DevSecOps for distributed microservices, and integrate services across AWS, Azure and GCP to serve global clients.

Qualifications

• You are a Software Engineer who is passionate about building internal tools.
• You understand the nuances of the machine learning product lifecycle and have a clear vision for moving models from exploration to production.
• You possess modern systems programming skills in Python or Go, and you are comfortable selecting the best-fit technology for complex infrastructure challenges.
• You bring practical experience with containerisation and orchestration, specifically Docker and Kubernetes at scale.
• You have a strong background in Infrastructure-as-Code using Terraform or CloudFormation, combined with DevSecOps practices.
• You thrive in small, ambitious teams where you can take ownership and communicate effectively with technical and non-technical peers.

Responsibilities

• Taking ownership of deployment and MLOps tooling to boost quality and reliability.
• Contributing to the continuous evolution of our technology stack, from notebook features to model monitoring systems.
• Collaborating with a small, fast-moving team of customer-facing technologists to design and build the infrastructure our delivery teams need to succeed.
• Designing and implementing infrastructure-as-code and DevSecOps processes for distributed microservices architectures.
• Integrating core platform services across AWS, Azure, and GCP for flexible, global client deployments.
• Scaling internal enablement capabilities to accelerate deployment of machine learning.

Skills

Python

Go

Docker

Kubernetes

Terraform

CloudFormation

MLOps

DevSecOps

IaC

System design

Ownership

Tools

AWS

Azure

GCP

Job description

Faculty in London is seeking a Software Engineer for the AI Platform to architect the infrastructure that enables world‑class AI. You'll work with the Applied AI team, building data science tooling, MLOps, and production‑grade deployment pipelines used by 100+ engineers.

You will own deployment tooling, evolve the tech stack, collaborate in a small team, implement IaC and DevSecOps for distributed microservices, and integrate services across AWS, Azure and GCP to serve global clients.