logologo
Hunt UK Visa Sponsors
Jobs
logologoHunt UK Visa Sponsors

Find jobs from UK licensed visa sponsors — Companies House verified, updated daily.

About

How does it workContact Us

Find Work

JobsJobs by RoleLicensed SponsorsVisa TypesSponsor Statistics

Resources

BlogGlossaryOccupation EligibilityIncome Tax CalculatorILR Tracker

Content on this site is for general information only and does not constitute legal advice. Always consult a regulated UK immigration solicitor for advice specific to your situation.

Copyright © 2026. All rights reserved.

Magnit Global

Cloud Engineer,

CompanyMagnit Global
LocationLondon Area, United Kingdom
Posted At3/12/2026

UK Visa Sponsorship Analytics

Occupation Type
IT business analysts, architects and systems designers
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,900 (£28.15 per hour)
Occupation rate applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with Magnit Global. For the most up-to-date job details, please visit the official website by clicking "Apply Now."

Description

Cloud Engineer – AI & Cloud Platforms - Global Banking Organisation

9 month contract, £650 per day inside IR35

London based, in the office 5 days a week


A global banking organisation are looking for a Cloud Engineer to join a growing engineering team building secure, scalable cloud and AI solutions in a modern multi-cloud environment.


This is a hands-on role for someone who enjoys working at the intersection of cloud platforms, software engineering, and AI enablement. You’ll help design and deliver cloud infrastructure, automation frameworks, and integration services that support innovative AI-driven solutions.


Key Responsibilities Cloud Engineer:

  • Design and implement cloud and AI‑ready solutions on Azure (primary), Oracle Cloud, and AWS (as onboarded).
  • Develop bespoke automation, integration, and AI‑driven components to support business requirements.
  • Build and maintain REST APIs, integration services, and identity-aware solution patterns.
  • Deliver operational (BAU) and project support for cloud and AI workloads.
  • Collaborate across teams to enhance platform stability, security, compliance, and cost efficiency.
  • Drive automation, Infrastructure‑as‑Code, CI/CD, and modern engineering practices.
  • Implement governance controls and guardrails for responsible, regulatory-compliant AI use.
  • Produce architectural designs and engineering documentation to support scalable, repeatable solution patterns.

  • Key Skills/Experience - Cloud Engineer:

    Essential Experience

    • Deep hands‑on Azure engineering experience, including Infrastructure‑as‑Code (Bicep/ARM/Terraform).
    • Strong proficiency in Python and PowerShell for automation, integration, and AI workflows.
    • Real‑world experience implementing and supporting cloud platforms and identity solutions (Azure, Oracle, Entra ID).
    • Experience developing REST APIs, integrating services, and implementing identity flows (OAuth2, tokens).
    • Familiarity with Azure OpenAI, OpenAI SDK/models, and applying AI services to real-world use cases.
    • Strong knowledge of IAM, security patterns, governance, and compliance requirements.


    Preferred Experience

    • Experience with Azure API Management or similar API gateways.
    • Exposure to AI governance, model lifecycle controls, or responsible AI implementation in regulated environments.
    • Knowledge of Foundry, vectorisation patterns, or AI orchestration frameworks.


    Key Skills (Prioritised)

    Cloud Platforms Expertise:

    • Azure (general engineering + PaaS services)
    • Entra ID (identity architecture, authentication flows)

    AI/ML & Generative AI:

    • Azure OpenAI (deployment, integration, governance)
    • OpenAI SDK, GPT models, embeddings and vector workflows
    • Prompt engineering with governance and safety controls

    Programming & Scripting

    • Python (essential)
    • PowerShell

    Governance & Compliance

    • Designing AI guardrails for regulated environments
    • Security and compliance awareness in financial services
    • Ability to operationalise Responsible AI controls

    API Development & Integration

    • REST API development and integration
    • API Management / API Gateway patterns
    • OAuth2, client credential flows, identity-driven service design

    Automation & DevOps

    • CI/CD pipelines (GitHub Actions, Azure DevOps, etc.)
    • IaC (Bicep, ARM, Terraform)
    • Reusable automation frameworks