Cloud computing jobs in LiverpoolCreate job alerts

Cloud Migration Engineer – Liverpool – 6 months - Hybrid My customer, a global legal organisation, is seeking an experienced Cloud Migration Engineer to support a high-profile divestment programme, delivering a full tenant-to-tenant migration within a complex enterprise environment. Required Skills & Experience of the Cloud Migration Engineer: • Must have proven experience delivering tenant-to-tenant migrations in enterprise environments., • Must have strong hands-on expertise with:Experience supporting divestments, mergers, or separation programmes is desirable., • Microsoft Azure, • Azure PaaS services, • Microsoft 365 / O365, • Microsoft Graph API, • EUC technologies (Intune, Endpoint Manager, device management), • Must have strong knowledge of tenant-to-tenant migration tooling such as Quest or MigrationWiz., • Strong understanding of identity, security, and governance in Azure / M365, • Lead and deliver end-to-end tenant-to-tenant migration (Azure & M365), • Design and implement migration strategies for Azure platforms and PaaS services., • Execute and support Microsoft 365 (O365) migrations, including identity, collaboration, and messaging workloads., • Leverage Microsoft Graph API or PowerShell for automation and migration activities., • Support End User Computing (EUC) migration activities, including device, policy, and user profile transitions., • Ensure security, compliance, and operational continuity throughout the divestment process. Apply now to speak with VIQU IT in confidence. Or reach out to Matt Farrell via the VIQU IT website. Do you know someone great? We’ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on LinkedIn @VIQU IT Recruitment.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Digital Manufacturing Engineer Manufacturing Industry - AWS £60 - £85k + bonus Remote - UK Travel 2-4 days per month We are working with an established consultancy made up of a passionate team of technologists and problem solvers dedicated to helping manufacturers transform their operations. By combining front-line expertise, modern technologies, and industrial know-how, they deliver solutions that make a tangible difference on the shop floor. The Digital Manufacturing Engineer will work directly with customers and as part of their manufacturing solutions team to design, build, and implement digital solutions using their front-line operations platform (Tulip). You will bridge the gap between technology and manufacturing operations, ensuring that solutions are practical, intuitive, easy to use, and impactful. This is an exciting opportunity to join a highly talented team where your ideas, technical curiosity, and problem-solving mindset will directly shape the digital future of manufacturing. Required Skills & Experience: • Proven experience building data and technology solutions for industrial or manufacturing environments., • AWS Certified Engineer with hands-on experience setting up, securing, and managing AWS infrastructure and services., • Understanding of hybrid architectures (Cloud / Edge) and their application in manufacturing contexts., • Experience working with machine connectivity, industrial protocols, and edge computing frameworks., • Practical experience developing or deploying applications for operators on the shop floor., • Experience developing in AWS-compatible programming languages, such as Python, Node.js (JavaScript/TypeScript), Java, or .NET (C#)., • Problem-solving skills, creativity, and a genuine passion for applying technology to real-world challenges., • Excellent communication skills and comfort in customer-facing environments., • Commitment to human-centred and people-centric design principles. The role is based remote, with expectations to travel to clients 2–4 days per month depending on requirements. The package on offer includes a 10% bonus and private healthcare. If you are an AWS Engineer or Architect, with a background in manufacturing, looking to join an exciting business, please apply now.

Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. Software engineers at Socure are integral members of product-focused teams that design and deliver mission-critical systems at scale. We work closely with our customers, driving measurable business outcomes and providing world-class user experiences. As a Senior Frontend Engineer, you will be instrumental in building intuitive, high-performance, and dependable web applications that empower our users to proactively detect and prevent risk. You will participate in every stage of the software development lifecycle—from architecture and design through implementation, testing, and production support. Leveraging modern frontend technologies and development patterns, you’ll advocate for best practices and mentor other engineers. This opportunity is ideal for frontend specialists passionate about design systems, seamless user experiences, and making a significant impact at scale. What You'll Do • Develop robust user interfaces from high-fidelity designs and functional specifications of varying complexity., • Collaborate with product managers, designers, and engineers to deliver an exceptional, customer-centric product., • Own features end-to-end, from design reviews to production rollout, ensuring high quality, usability, and performance., • Create comprehensive unit, integration, and end-to-end tests for robust code and broad functional coverage., • Break down complex technical and product challenges into actionable tasks and drive them to successful completion., • Contribute to the evolution of our design systems and frontend architecture to enhance scalability, maintainability, and developer experience., • Partner with backend and infrastructure engineers to define efficient APIs and data contracts., • Mentor and coach fellow engineers by sharing expertise, conducting code reviews, and promoting engineering best practices., • Champion accessibility, performance, and security throughout frontend development., • Work in an agile, fast-paced environment focused on rapid delivery and continuous improvement. What You'll Bring • 5-7 years of experience developing modern web applications using TypeScript, React, and popular workflows (e.g., Flux, Redux, or equivalent)., • Proven track record of writing clean, reusable, well-tested, and maintainable code., • Experience collaborating with product designers and cross-functional teams., • Strong focus on user experience and empathy for end users when designing UI flows and interactions., • Hands-on experience with design and prototyping tools such as Figma, Framer, or InVision., • Familiarity with cloud computing platforms like Google Cloud or AWS (preferred)., • Experience with node-based graph libraries (e.g., react-flow, litegraph.js) is a strong plus., • Deep understanding of frontend performance optimization, accessibility (WCAG), and security best practices., • Experience building and scaling design systems or component libraries is a plus., • Excellent communication skills and a proven ability to mentor and guide junior engineers., • Growth mindset with a passion for learning, experimentation, and keeping current with the latest frontend technologies. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! ___ | ___ | ___ | ___ Compensation Range: $180K - $210K

Nine years ago, a small team working alongside researchers at University of Oxford set out to solve a problem most of the world didn’t yet realise it had. Billions of machines were beginning to talk to each other — in factories, power grids, transport systems, defence networks and smart cities. But they were doing so through architectures built for a different era: centralised, fragile, and increasingly exposed. So, they built something different. Today, this UK tech company holds patented cryptographic technology that enables fully decentralised, post-quantum secure interoperability between devices — operating at the edge, without relying on always-on central connectivity. It works in untrusted environments. It enables real-time communication and narrow AI across full-scale industrial systems. And it is quietly moving from academic breakthrough to global security relevance. Now they need a senior C++ engineer who can operate where this technology truly lives — deep in the network stack. The role is permanent and fully remote, and you can be based in either the UK or US. The Role: Where Packets Become Trust This is not application-layer C++. This is not framework-driven development. This is low-level, network centric engineering, working primarily across OSI Layers 2 and 3, where routing decisions, tunnelling strategies and packet behaviour determine whether distributed systems can operate securely at scale. You will design and build software that ultimately runs on millions of industrial edge devices — enabling: · Secure cloud edge communication · Device-to-device authentication · Decentralised routing and interoperability · Robust deployment mechanisms for edge environments You will shape technical architecture, contribute to governance models, and help standardise innovative security solutions that could define the future of industrial IoT. What the CTO Needs This is a tall order — intentionally so. As a baseline you must be deeply experienced in network programming with Low Level C++, Linux and a strong working knowledge of network protocols and cryptography. The following are all highly desirable, the more you possess the more interesting to my client you will be: · Layer 3 OSI protocols · Low-level packet analysis and routing · OSPF · TAP/TUN devices and UDP tunnelling · UDP hole punching and STUN technologies · IPTables and packet routing strategies · Code threading, multitasking and IPC (shared memory) · Linux kernel-level work · Compilers and static libraries · Cross-compiling and porting across iOS, Android, Windows and Linux · Containerised microservices (Docker, Kubernetes) · CI/CD pipelines (GitLab environments) · Distributed cloud platforms (AWS, Azure, OVH) · Post Quantum Computing (PQC) It’s unlikely any one person will tick every box. But you must demonstrate genuine depth in networking, packet routing and analysis, plus at least several of the above areas. Without that foundation, the learning curve is too steep. The Kind of Engineer Who Thrives Here · 10+ years designing and architecting complex C++ systems · Comfortable in Linux environments (Debian, CentOS, embedded variants) · Strong understanding of symmetric/asymmetric cryptography and hashing · Able to document clearly and automate relentlessly · Collaborative, but confident enough to push back when necessary · Energised by start-up environments where ownership is real · Bonus points for IoT platforms, edge AI, GPU compute, or blockchain exposure. Why This Matters This is a nine-year-old UK technology business that has moved from academic roots to patented, commercially relevant security infrastructure. It is no longer a concept. It is not a slide deck. It is production-grade technology preparing for global scale. The successful candidate won’t just write code. They will help determine how critical infrastructure, industrial systems and smart cities authenticate and communicate for decades to come. In Return You’ll receive a competitive base salary, significant equity, and the chance to work on technology that sits at the intersection of networking, cryptography and national-scale resilience. If you are a serious C++ engineer who understands packets, routing, tunnelling and kernel-level behaviour — and you want your next role to genuinely matter — this may be worth a conversation. Please apply below and we will be in touch ASAP to schedule a confidential chat. Edison Hill Search are operating and advertising as an Employment Agency for permanent positions and as an Employment Business for interim / contract / temporary positions. Edison Hill Search are an Equal Opportunities employer and we encourage applicants from all backgrounds. Please apply below at your earliest convenience.

Where purpose meets career: Atos is a global leader in digital transformation with 78,000 employees and annual revenue of around €10 billion. Number one in Europe for cybersecurity, cloud and high-performance computing, we deliver tailored end-to-end solutions across 68 countries. Our purpose is to design the future of the information space—helping customers, employees and societies live and grow sustainably in a safe and secure digital world. Overview The role requires a DevOps Cloud engineer with solid Wintel experience to implement cloud platform infrastructure for the MOD/Army geographic data intelligence service known as MCBRIDE. Role Objective The Wintel DevOps Engineer is responsible for implementing the Windows infrastructure components of the MCBRIDE service as well as additional AWS cloud native services (this may extend to Google Cloud Platform in the future). This includes traditional Wintel roles such as Active Directory configuration and DevOps processes and tools including Terraform and Git. Expected Outputs • Terraform IaaC: Create Terraform code to deploy and maintain infrastructure on the MOD’s AWS Cloud platform. Experience on Ansible is desirable but not required as training can be provided., • Wintel: Configure Windows Server, Active Directory, Group Policy, DNS, Certificate Services and other windows configurations, including PowerShell scripting., • GitOps: Work within the git-based framework for managing the infrastructure code base., • Close Collaboration: Work closely with a small team of DevOps engineers and architects, creating a culture of inclusive collaboration, resulting in the best solutions for MCBRIDE., • Creativity: Able to find solutions when working on a platform with significant security restrictions in place., • Curiosity: As the platform evolves to include more services and technologies, the willingness to learn and apply new technologies. Skillset Required • DevOps - good familiarity with core DevOps processes and tools including CI/CD pipelines, git version control, Terraform., • Wintel – strong core Wintel skills covering all aspects of Active Directory and Windows Server, • Cloud – given that the OS component of the service is built on AWS, knowledge and experience of AWS is preferrable but any experience on one of the key hyperscalers (AWS, Azure, GCP, Oracle) is suitable, • A good understanding of cloud security principles and regulatory standards., • Strong analytical and troubleshooting skills to resolve implementation and operational challenges., • Keeping up to date on best practices in cloud computing. Nice to have (not mandatory): • Hands on experience on Ansible, • Optional experience with any of containerisation: Kubernetes, Hashicorp vault, Prometheus, Grafana, ELK stack is an advantage. Previous Experience Required • A minimum of 4-5 years in IT infrastructure roles., • Proven experience in Wintel tasks., • Proven experience in a DevOps role., • Previous experience of MOD platforms/processes/ways of working would be beneficial but is not required. Certifications It would be beneficial to have any of the following certifications: • Hashicorp Terraform Associate., • AWS/Azure/GCP/Oracle Associate., • Microsoft AZ-800/AZ-801, MCSA, MCSE We Care About Our Employees' Happiness By providing: • 25 days of Annual leave + an option to purchase more through our Flexible Benefits., • Flex benefits system – exciting opportunity to choose your own benefits., • Retail discounts., • Pension - matching contribution up to 10%., • Private Medical Scheme., • Life Assurance., • Opportunities to learn in Atos Training platforms.

A leading global shipping company based in Liverpool is seeking an IT Support Specialist to manage their UK VM Ware Server Infrastructure and perform L2/L3 support. The ideal candidate will have strong skills in cloud computing, particularly AWS, and experience with Microsoft Windows Server.