Infrastructure Engineer

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London / £100000 - £180000 annum

INFO

Salary
SALARY:

£100000 - £180000

Location

LOCATION

London

Job Type
JOB TYPE

Permanent

Infrastructure Engineer | AI Startup

Remote (One week per month in Barcelona)

Up to £180,000 + Equity

Want to help power some of the most advanced AI models being built today? I'm hiring for an Infrastructure Engineer to join a cutting-edge startup developing next-generation AI for tabular data-technology with the potential to transform industries like finance, healthcare, and advertising.

You'll work alongside researchers and engineers from the likes of DeepMind and other top AI labs, building cloud infrastructure from the ground up to support high-performance, GPU-intensive workloads at scale.


Why You'll Love This Role

  • Highly competitive salary + meaningful equity package

  • 100% remote within Europe

  • Work with world-class AI experts on cutting-edge problems

  • Join at an early stage with big growth ahead

  • Access to the latest tools, GPUs, and research infrastructure


What You'll Be Doing

  • Design and implement multi-cloud infrastructure (AWS + GCP) optimised for ML workloads

  • Build and manage Kubernetes clusters for GPU training, serving, and SaaS hosting

  • Implement GitOps deployment workflows using ArgoCD

  • Create and manage infrastructure as code with Terraform

  • Set up CI/CD pipelines for infrastructure and application deployment

  • Implement monitoring, observability, and cloud cost optimisation (FinOps)

  • Collaborate with ML engineers to fine-tune infrastructure for large-scale model training


What You'll Bring

  • 5+ years in cloud infrastructure / DevOps roles

  • Deep Kubernetes expertise, including GPU workload optimisation

  • Strong AWS and GCP experience

  • Proven skills with Terraform, GitOps tools, and CI/CD (GitHub Actions preferred)

  • Proficiency in Python and scripting for automation

  • Solid understanding of cloud networking, security, and cross-cloud connectivity

  • Experience in monitoring, observability, and cost optimisation


Nice to Have

  • Experience with ML tooling (MLflow, Kubeflow)

  • Knowledge of FastAPI, Databricks, or Snowflake

  • Exposure to SRE practices or cloud security certifications

  • Familiarity with Prometheus, Grafana, or Datadog


Interested?
If you want to be part of a world-class AI team at an early stage-where your infrastructure decisions will directly shape the company's success-apply today or reach out for a confidential chat.

CONTACT

Michael Bellchambers

Senior Recruitment consultant

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