MLOps Engineer in London

MLOps Engineer in London

London Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
D

At a Glance

  • Tasks: Design and manage AI platforms, ensuring seamless deployment and high reliability.
  • Company: Join a leading organisation driving innovative AI initiatives.
  • Benefits: Competitive salary, flexible work schedule, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on cutting-edge AI solutions.
  • Why this job: Be at the forefront of AI technology and make a significant impact.
  • Qualifications: 5+ years in Platform Engineering/DevOps with strong AWS and CI/CD experience.

The predicted salary is between 63000 - 77000 Β£ per year.

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 (eg Python, Go, Node.js)
  • Experience with observability tools (eg 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

MLOps Engineer in London employer: DGH Recruitment Ltd.

Join a dynamic global organisation as a Salesforce Engineer, where you will be at the forefront of digital transformation. Our collaborative work culture fosters innovation and continuous improvement, providing you with ample opportunities for professional growth and development. With a focus on Agile methodologies and cutting-edge Salesforce technologies, you'll not only enhance your technical skills but also contribute to impactful solutions that drive business success.

D

Contact Details:

DGH Recruitment Ltd. Recruitment Team

We think you need these skills to ace MLOps Engineer in London

MLOps
Platform Engineering
DevOps
AWS
CI/CD
Automation
Kubernetes