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DGH Recruitment

DevOps Engineer

London
£80k – £100k/yr
Posted about 14 hours ago
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MLOps Engineer (Platform / DevOps) – AI Platform - FULL TIME 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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

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  • 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

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Desirable Skills

  • Experience working on AI / ML platforms or deployments
  • Exposure to large-scale distributed systems
  • AWS certifications
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Skills

Platform Engineering
DevOps
AWS
Cloud-Native Architectures
CI/CD
Automation
Kubernetes
Containerisation
Python
Go
Node.js
Observability
Monitoring
Logging
Security
Performance Optimisation

Location

London, England, United Kingdom

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