Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

AI (artificial intelligence) DevOps Engineer

de mare consulting
City of London
2 weeks ago
Create job alert
Overview

AI (artificial intelligence) DevOps Engineer – de Mare Consulting

Job Details
  • Title: AI (artificial intelligence) DevOps Engineer
  • Location: Glasgow or London City; hybrid working (1–2 days per week in the office, and remote working)
  • Employment type: Permanent
  • Salary: £70,000–£90,000
About the Role

An exciting opportunity for a talented AI DevOps Engineer focused on building and managing scalable, secure infrastructure for a multi-agent AI orchestration platform. This role contributes to developing a best-in-class AI platform with custom-built components.

Responsibilities
  • Build and manage scalable, secure infrastructure for the multi-agent AI orchestration platform.
  • Design and implement CI/CD pipelines for Azure services and Semantic Kernel agents.
  • Manage Kubernetes clusters (Azure Kubernetes Service), integrate observability tools, and ensure high availability.
  • Apply enterprise-grade security practices, including zero-trust principles, identity-aware routing, and integration with Azure API Management and Azure Application Gateway.
  • Collaborate across multiple Azure regions (UK South, Sweden Central, East US) to ensure high availability and secure deployments.
Qualifications
  • Expertise in Azure Kubernetes Service (AKS), Helm, and KEDA.
  • Infrastructure as code using Bicep or ARM templates.
  • Hands-on experience with CI/CD pipelines (Bitbucket, Azure DevOps).
  • Experience with API gateways and Azure API Management (APIM) and Azure Application Gateway.
  • Monitoring tools such as Prometheus, Grafana, and Azure Monitor.
  • Understanding of secure multi-region deployments and network segmentation.
Remote Working

Expected to be in the office 1–2 days a week. Additional days may be required for activities such as design workshops.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist - Remote

Data Scientist

Senior Data Scientist

Machine Learning Operations Lead

DataOps Engineer

Senior Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.