1 to 4 of 4 Permanent Cloud Computing Jobs in the City of London

Cloud Engineer London Hybrid Eames consulting are delighted to be working with a leading Asset Management firm with a market capitalisation of over £400M and growing. They are seeking a talented Cloud Engineer who will be responsible for designing, implementing, and managing cloud infrastructure and services to … support our investment management operations. Responsibilities: Design, deploy, and manage cloud infrastructure solutions on platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) to support investment management applications and workflows. Collaborate with software development teams to design and implement cloud-native architectures … . Implement and maintain automated deployment pipelines, infrastructure as code (IaC), and configuration management tools (e.g., Terraform, Ansible) to streamline provisioning and management of cloud resources. Monitor, optimize, and troubleshoot cloud infrastructure performance, security, and costs, utilizing monitoring tools and logging frameworks (e.g., CloudWatch, Stackdriver, ELK Stack). more »

as PRINCE2 or Agile Qualifications such as the Azure Solutions Architect Expert, AWS Certified Solutions Architect, Azure Security Engineer Associate or equivalent from other Cloud Service Providers Experience in dealing with IT Transformation projects Skills & Competencies In-depth knowledge of Cloud computing and Cloud-specific patterns … with a track record of developing and designing cloud environments Technical skills covering some of the following: Networking (DNS, TCP/IP, HTTP, CDN, and VPC) Containerization and DevOps Tools Security Artificial Intelligence, including ML, RPA and Natural Language Processing Commercial experience with Event Driven Architectures Ability to architect more »

building and deploying end-to-end ML solutions. Strong programming skills in Python and proficiency in ML frameworks (e.g., TensorFlow, PyTorch). Expertise in cloud computing platforms (AWS, Azure) and containerization technologies (Docker) for scalable ML model deployment. Understanding of data privacy, security, and ethical AI principles. Excellent … experience. - Demonstrated experience in building and leading high-performing ML and data science teams, fostering a culture of innovation and collaboration. - Extensive experience in cloud-based ML model deployment, leveraging infrastructure-as-code (IaC) principles and MLOps best practices. - Experience working in regulated industries, with a strong understanding of more »

a team. - Familiarity with aeronautical standards and processes, including ICAO, ARINC, RTCA, Eurocae, and Certification. - Proficiency in networking technology and protocols, IT security practices, Cloud Computing Services, and various operating systems. - Programming/scripting skills in languages such as C, C++, C#, Perl, Python, Java, HTML, etc. In more »