MLOps Engineer

DGH Recruitment Ltd; City Of London; On-site; GBP 70,000 - 110,000; Part time

Job summary

DGH Recruitment Ltd is seeking an experienced MLOps Engineer to design and operate a secure, scalable AI platform. You will collaborate with data science and engineering teams to deploy AI workloads and ensure reliable infrastructure.

The role focuses on building CI/CD pipelines, observability, and IaC automation, while optimizing performance and cost. You will ensure security and high availability for production systems.

Qualifications

• 5+ years in Platform Engineering or DevOps roles.
• Strong AWS experience and cloud-native architectures.
• Proficient CI/CD, automation, and DevOps practices.
• Experience with Kubernetes and containerisation technologies.
• Programming skills (Python, Go, Node.js).
• Familiarity with observability tools like Datadog/OpenTelemetry.
• Understanding of security, performance, and scalability.

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.
• Optimize 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 (IaC) tools.
• Troubleshoot and resolve platform issues.

Skills

Platform Engineering

AWS

CI/CD

Kubernetes

Python

Tools

Kubernetes

Datadog

OpenTelemetry

Terraform

Job description

MLOps Engineer (Platform / DevOps) - AI Platform - 3 days per week onsite

We\'re partnering with a leading organisation on a high-profile AI initiative, seeking an experienced MLOps / Platform Engineer to build and scale infrastructure supporting advanced AI solutions.

The Role

You\'ll play a key role in designing and operating a secure, scalable platform for deploying AI workloads and agents. Working closely with Data Science and Engineering teams, you\'ll ensure robust infrastructure, seamless deployment pipelines, and high platform reliability.

Key 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 (IaC) tools


• Troubleshoot and resolve platform issues

Key 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 / containerisation technologies


• Strong programming skills (e.g. Python, Go, Node.js)


• Experience with observability tools (e.g. OpenTelemetry, Datadog)


• Understanding of security, performance optimisation, and scalability

Desirable Skills

• Experience working on AI / ML platforms or deployments


• Exposure to large-scale distributed systems


• AWS certifications