5 of 5 Remote/Hybrid Cloud Computing Jobs in the City of London

Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you’ll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods … domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics ...

Linux-focused DevOps role where you will take ownership of large-scale production environments, working across Linux systems, automation, Kubernetes, containerisation, networking, observability and cloud infrastructure. Location: London, hybrid working with a minimum of 2 days per week in the office Salary: Up to £100,000 per annum + … incident response, root cause analysis and driving improvements to the reliability and performance of production systems Commercial experience with Microsoft Azure or another major cloud platform such as AWS or GCP, ideally deploying and managing Linux-based services in the cloud Experience with the following would be beneficial ...

Management Professional (PMP) - Virtual Learning Academy (VLA), Tableau Desktop Specialist - Edureka Required Skills Automation Technology, Automation Technology, Big Data, Business Intelligence (BI), Clinical Analysis, Cloud Computing, Data Analytics, Databricks Platform, Data Science, Data Visualization, Deep Learning, Generative AI, Healthcare Analytics, Insurance, Legacy Modernization, Machine Learning, Microsoft Power Apps ...

delivery models utilising AI agents to streamline systems software + operations: AI Native Systems Engineer is a technical leadership role designing AI-enabled, complex cloud-native + data-intensive systems that support Network Operations across RAN, data + automation domains. Owning the system engineering discipline, translating business problems into … engineering tools and how to validate, govern and improve AI-generated engineering artefacts. Experience in designing complex software systems, distributed systems, data platforms + cloud-native services. Architecture and design leadership: ability to set technical direction, resolve complex design trade-offs + guide software engineering teams. Strong experience ...

capability to become a Meltwater platform expert Knowledge and experience in the digital, marketing, social or PR space would be advantageous Understanding of cloud computing and architecture concepts, including APIs and MCPs is encouraged Proven ability to understand business problems, apply strong analytical skills and create an effective ...