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

Apply Now

Cloud Engineer

Stevenage
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Cloud Data Engineer - Azure, ETL & Data Platforms

Lead Data Engineer - Microsoft Fabric - Hybrid - £75k

Lead Data Engineer: Hybrid, Remote, Clear Growth Path

Data Science and AI Industrial Placement Scheme

Data Science & AI Graduate Scheme

Data Science and AI Industrial Placement Scheme

Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis combines the expertise of AKKA and Modis, with over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today's rapidly evolving markets.

With a comprehensive solution portfolio across four service lines-Consulting, Solutions, Talents, and Academy-Akkodis supports clients from concept through to full-scale deployment and optimisation. Our diverse offerings help organisations rethink product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, you'll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology.

Scope:

Akkodis is launching a new technical delivery team to drive a UK national programme in collaboration with key partners, designed to transform and future-proof the central government's workforce. By leveraging cutting-edge technology, strategic partnerships, and a comprehensive SaaS-based platform, this programme will create an advanced, candidate-centric experience tailored to meet tomorrow's public sector skill demands.

This high-impact initiative offers a unique opportunity to join a team dedicated to building a scalable, data-driven recruitment ecosystem. Through redesigning, building, and rolling out a sophisticated Big Data system, our diverse roles span architecture, project management, data analytics, development, and technical support. This is your chance to shape a dynamic, next-gen digital infrastructure.

Role:

As part of this mission, the Azure / 365 Cloud Engineer role is essential for managing and optimising an organisation's cloud infrastructure using Microsoft Azure and Office 365 platforms.

This role involves designing, deploying, and maintaining cloud solutions, ensuring their performance, security, and scalability. The Azure / 365 Cloud Engineer will collaborate with various IT teams to support cloud-based applications and services, troubleshoot issues, and implement best practices for cloud management.

Responsibilities:

Design, deploy, and maintain robust cloud solutions using Microsoft Azure and Office 365.
Ensure the performance, security, and scalability of cloud environments.
Collaborate with cross-functional IT teams to support and optimise cloud-based applications and services.
Troubleshoot complex cloud-related issues, implementing effective solutions promptly.
Implement best practices in cloud security and data protection to ensure organisational compliance and integrity.

Required Skills:

Expertise in Microsoft Azure and Office 365 administration, including deployment, management, and troubleshooting.
Knowledge of implementing and maintaining cloud security measures to protect data and applications.
Strong understanding of visualisation, networking, and storage within cloud environments.
Ability to diagnose and resolve complex cloud infrastructure issues effectively and efficiently.
Strong communication skills to collaborate with IT teams and stakeholders effectively.

Required Experience:

3-5 years of experience in cloud engineering or a related field.
Hands-on experience with cloud management tools and IT best practices.
Certifications such as Microsoft Certified: Azure Solutions Architect Expert or Microsoft 365 Certified: Enterprise Administrator Expert are highly desirable.Required Education:

Bachelor's degree in Information Technology, Computer Science, or a related field.Adecco - AKKA is acting as an Employment Agency in relation to this vacancy

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.