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The Portfolio Group Reedcouk · Posted today

Platform Engineer (DevOps / MLOps Focus)

London, United Kingdom GBP 100000-100000 / year Permanent

Permanent Reedcouk
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Indexed description

We're partnering with an organisation delivering a cutting-edge AI platform project. This is an opportunity to join a highly technical team building the cloud infrastructure and platform capabilities that power large-scale AI and machine learning solutions.

You'll play a key role in designing, building and maintaining scalable, secure and resilient platform infrastructure, enabling engineering and data teams to deploy and operate AI workloads efficiently.


What you'll be doing:

  • Building and managing cloud-native infrastructure to support AI and ML applications.
  • Designing and maintaining Kubernetes environments for production workloads.
  • Developing and managing Infrastructure as Code using Terraform.
  • Supporting CI/CD pipelines and platform automation initiatives.
  • Improving platform reliability, observability and scalability.
  • Collaborating closely with Software Engineers, Data Engineers and ML teams to optimise deployment workflows and infrastructure performance.


Essential experience:

  • Strong commercial experience with Kubernetes.
  • Hands-on experience building Infrastructure as Code using Terraform.
  • Experience working with cloud platforms such as AWS, Azure or GCP.
  • Experience with containerisation technologies including Docker.
  • Strong understanding of CI/CD principles and DevOps best practices.
  • Experience supporting highly available, scalable production environments.


Nice to have:

  • Experience with Kubeflow and ML platform tooling.
  • Exposure to AI, machine learning or GenAI projects.
  • Experience with observability tooling such as Prometheus, Grafana or OpenTelemetry.
  • Experience working within regulated or enterprise environments.


This is a fantastic opportunity to join a high-profile AI programme with significant investment and visibility, working alongside some of the brightest engineers in the industry to build the next generation of AI infrastructure.



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