MLOps Engineer

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

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

In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position.

DGH Recruitment Limited acts as both an Employment Agency and Employment Business