Senior Azure Cloud Engineer

Orchard Recruitment Ltd
Douglas
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Big Data Engineer (Databricks) - RELOCATION TO ABU DHABI

Senior Big Data Engineer (Databricks) - RELOCATION TO ABU DHABI

Senior Big Data Engineer (Databricks) - RELOCATION TO ABU DHABI

15h Left: Senior Data Engineer, Consultant...

Senior Data Solutions Designer

Senior Data Solutions Designer

Our client are an international law firm with offices in many key offshore jurisdictions, as well as a presence in the international financial centres of Hong Kong and Shanghai. In order to maintain pace with every evolving technology requirements and need to IT security vigilance, the now require a Senior Azure Cloud Engineer for their Isle of Man team.The Senior Azure Cloud Engineer will play a critical role in leading the firm's transition to the Microsoft Azure cloud. This will include designing, implementing, and securing the cloud-based environment while ensuring compliance with ISO 27001, GDPR, and other regulatory requirements. The role demands extensive hands-on expertise in Microsoft Azure, M365, security frameworks,and AI-driven cloud automation.The ideal candidate for the role of Senior Azure Cloud Engineer will have: * 5 to 7 years' hands-on experience with Microsoft Azure and cloud security * Expertise in Azure AD, Microsoft Entra, Identity Protection, Conditional Access, MFA, and PIM * Deep knowledge of M365, SharePoint, OneDrive, Exchange Online, and Teams administration * Strong experience with Azure Policy, Compliance Manager, Microsoft Purview, and data security frameworks * Solid grasp of AI, automation, and Infrastructure-as-Code (IaC) technologies * Experience implementing Zero Trust security architecture and hybrid cloud solutions * Knowledge of Azure networking (VNet, ExpressRoute, VPNs, SD-WAN, private endpoints, and firewall solutions) * Proven experience with Azure security solutions (Defender for Cloud, Sentinel, and Defender for Endpoint) * Strong scripting and automation skills using PowerShell, Python, or TerraformDesirable: * Microsoft certifications: Azure Solutions Architect Expert (AZ-305), Azure Security Engineer Associate (AZ-500), or equivalent * Familiarity with ISO 27001, NIST, GDPR, and other regulatory frameworks * Experience with machine learning and AI-driven security models * Strong understanding of ITIL and DevOps methodologies

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Jobs Careers

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.

Jobs

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.