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# DevOps Engineer - Enterprise AI

- **Company:** Ricoh
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Cloud Engineering, Configuration Management, Cyber Security, System Configuration, Continuous Integration, DevOps, Python (Programming Language), Key Management, Operational Data Store, Release Management, Cloud Services, Systems Integration, Software Vulnerability Management, Scripting, AI Platforms, Machine Learning Operations, Software Version Control
- **Published:** October 15, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3021696341-2

## About the Role

We're looking for someone who brings a strong foundation in DevOps, cloud engineering, platform administration, automation, service operations or MLOps, with an interest in applying those skills to Enterprise AI., * Good knowledge of DevOps principles including source control, testing, release management and deployment processes.

 * Hands-on experience configuring or administering a major cloud or AI platform.
 * Experience working with cloud services including identity, networking, storage, access and managed services.
 * Experience configuring managed or packaged technology services and integrating them with enterprise systems.
 * Knowledge of CI/CD, configuration management and controlled promotion between environments.
 * Scripting or automation experience using Python, shell or equivalent technologies.
 * An understanding of APIs, secrets management, vulnerability management and secure configuration.
 * Experience monitoring production services using logs, metrics and operational data.
 * Strong troubleshooting and root-cause analysis skills.
 * Experience working within multidisciplinary agile, product or engineering teams.
 * Strong communication skills with the ability to explain technical issues, risks and recommendations clearly.

Experience with containers, infrastructure as code, MLOps, generative AI services or AI platforms would be particularly beneficial, alongside an understanding of data protection, responsible AI and model governance.

A relevant degree or equivalent practical experience is welcomed, while cloud, DevOps, security, service management or platform certifications would be advantageous.

## Description

As our DevOps Engineer for Enterprise AI, you'll work closely with AI specialists, data scientists, software engineers, architects, cyber security teams and technology partners to configure, integrate and operate our AI platforms and services.

You'll help establish reusable environments, integrations and deployment processes while ensuring our AI services remain secure, resilient, observable and cost-effective.

The role covers both managed and off-the-shelf AI capabilities across cloud and hybrid environments, giving you the opportunity to work with a broad range of technologies while developing expertise in AI platforms, MLOps and responsible AI delivery.

What you will be doing

 * Configuring and maintaining secure, scalable environments and services for AI workloads.
 * Building repeatable deployment processes for applications, AI services, models, prompts and configuration.
 * Supporting the integration of cloud, AI and automation services with enterprise systems.
 * Applying DevOps and MLOps principles across testing, release management and controlled deployment.
 * Using automation and scripting to improve deployment, integration and operational processes.
 * Monitoring service performance, availability, reliability, quality, usage and cost.
 * Implementing appropriate identity, access, secrets management and security controls.
 * Supporting incident resolution, troubleshooting and root-cause analysis.
 * Helping establish monitoring, alerting, backup, recovery and service operating procedures.
 * Optimising cloud consumption, platform subscriptions, licensing and capacity.
 * Creating reusable templates, documentation and self-service capabilities for technical teams.
 * Working with security, privacy, risk and compliance colleagues to support responsible and governed use of AI.
 * Collaborating with technology providers and delivery partners to continuously improve our platforms and services.