DevOps Engineer

DGH Recruitment Ltd; City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

We are partnering with a leading organisation on a high-profile AI initiative and are seeking an experienced MLOps / Platform Engineer to build and scale infrastructure supporting advanced AI solutions. This is a full-time onsite role where you will work closely with Data Science and Engineering teams to design and operate a secure, scalable platform for deploying AI workloads and agents.

Salary is £80,000 - £100,000 per year, with a strong emphasis on reliability, deployment pipelines, and

Qualifications

• 5+ years experience in Platform Engineering / DevOps.
• Strong experience with AWS and cloud-native architectures.
• Proven knowledge of CI/CD, automation, and DevOps best practices.
• Experience with Kubernetes and containerisation technologies.
• Strong programming skills, for example Python, Go, or Node.js.
• Experience with observability tools, for example OpenTelemetry or Datadog.
• Understanding of security, performance optimisation, and scalability.
• Experience working on AI / ML platforms or deployments is desirable.
• Exposure to large-scale distributed systems is desirable.
• AWS certifications are desirable.

Responsibilities

• Design, deploy, and manage AI platforms and agent infrastructure.
• Build and maintain CI/CD pipelines and DevOps workflows.
• Implement observability, monitoring, and logging solutions.
• Optimise performance, scalability, and cost efficiency.
• Support AI teams with infrastructure, deployment, and integration.
• Ensure platform security, compliance, and high availability.
• Automate infrastructure using Infrastructure as Code tools.
• Troubleshoot and resolve platform issues.

Skills

Platform Engineering

DevOps

AWS

CI/CD

Kubernetes

Python

OpenTelemetry

Datadog

Security

Job description

Salary: £80,000 - 100,000 per year

Requirements

• 5+ years experience in Platform Engineering / DevOps
• Strong experience with AWS and cloud-native architectures
• Proven knowledge of CI/CD, automation, and DevOps best practices
• Experience with Kubernetes and containerisation technologies
• Strong programming skills, for example Python, Go, or Node.js
• Experience with observability tools, for example OpenTelemetry or Datadog
• Understanding of security, performance optimisation, and scalability
• Experience working on AI / ML platforms or deployments is desirable
• Exposure to large-scale distributed systems is desirable
• AWS certifications are desirable

Responsibilities

• Design, deploy, and manage AI platforms and agent infrastructure
• Build and maintain CI/CD pipelines and DevOps workflows
• Implement observability, monitoring, and logging solutions
• Optimise performance, scalability, and cost efficiency
• Support AI teams with infrastructure, deployment, and integration
• Ensure platform security, compliance, and high availability
• Automate infrastructure using Infrastructure as Code tools
• Troubleshoot and resolve platform issues

Technologies

• AI
• AWS
• CI/CD
• Cloud
• Datadog
• DevOps
• Support
• Kubernetes
• OpenTelemetry
• Python
• Security
• NodeJS

More

We are partnering with a leading organisation on a high-profile AI initiative and are seeking an experienced MLOps / Platform Engineer to build and scale infrastructure supporting advanced AI solutions. This is a full-time onsite role where you will work closely with Data Science and Engineering teams to design and operate a secure, scalable platform for deploying AI workloads and agents. We offer the opportunity to contribute to a significant AI platform effort with strong focus on reliability, deployment pipelines, and infrastructure excellence.