MLOps Engineer, AI Platform – Onsite 3 Days/Week

DGH Recruitment; City Of London; On-site; GBP 42,000 - 78,000; Part time

Job summary

DGH Recruitment Limited is partnering with a leading organisation on a high-profile AI initiative to recruit an experienced MLOps / Platform Engineer. You will design, deploy, and operate a secure, scalable platform for AI workloads and agents, working closely with Data Science and Engineering teams to ensure robust infrastructure and reliable deployment pipelines.

This role is 3 days per week onsite in City of London, with a strong emphasis on CI/CD, IaC, observability, security, and cost

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 / containerisation technologies.
• Strong programming skills (e.g. Python, Go, Node.js).
• Experience with observability tools (OpenTelemetry, Datadog).
• Understanding of security, performance optimisation, 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.
• 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.

Skills

Platform Engineering

DevOps

AWS

CI/CD

Kubernetes

Programming (Python/Go/Node)

Observability (OpenTelemetry/Datadog)

Security & Scalability

Tools

OpenTelemetry

Datadog

Job description

DGH Recruitment Limited is partnering with a leading organisation on a high-profile AI initiative to recruit an experienced MLOps / Platform Engineer. You will design, deploy, and operate a secure, scalable platform for AI workloads and agents, working closely with Data Science and Engineering teams to ensure robust infrastructure and reliable deployment pipelines.

This role is 3 days per week onsite in City of London, with a strong emphasis on CI/CD, IaC, observability, security, and cost