6 of 6 SaaS Jobs in Cardiff

re Looking For Essential: A recent graduate (or soon-to-be) in Computer Science, Information Technology, Software Engineering, or a related field Basic understanding of cloud concepts (IaaS, PaaS, SaaS) and interest in platforms such as AWS, Azure, or GCP Familiarity with Linux/Unix systems and basic networking principles Some experience in scripting (e.g., Python, Bash, PowerShell) Enthusiasm for More ❯

AI-first culture , embedding automation and data-driven decision-making across the organisation. What You'll Bring: Proven experience delivering AI/ML capabilities in production , ideally within a SaaS or enterprise setting. Technical depth across machine learning, MLOps, and data engineering . Experience building and scaling teams in data and AI disciplines. Background in cloud-based data platforms - Microsoft More ❯

Joint ventures, strategic alliances and collaboration agreements Outsourcing and high-value contracts Software licensing and distribution Digital media and entertainment arrangements Franchise, agency, and distribution agreements E-commerce and SaaS agreements Standard terms of supply and purchase Buying and selling businesses Agency agreements Business development and networking initiatives What we’re looking for A qualified solicitor with 4–5 years More ❯

analysis, interface design, security analysis and software selection Plan, implementand manage data migration activities from client existing systems/applications Defineinfrastructure architecture for implementation projects on-premise and on SaaS for software, hardware, and network requirements SupportEnterprise Architecture in pre-sales activities, for example producing conceptual high-level client solution definitions Participatein implementation projects, owning technical work-streams including liaison … premise clients Occasional travel to client sites, potentially overseas Cloud Technical Operations will include: Using the Companydashboard and alerts, ensure continuous monitoring along with the cloud team of cloud SaaS Clients, react on alerts and work with the different teams to resolve incidents Anticipate emerging problems by analysing monitoring warnings Participate to the provisioning of the infrastructure for new Clients … in the financial services or insurance industry and principally in Microsoft technologies with experience in: Requirements gathering and ability to document requirements, solutions, and infrastructure architecture design Delivery of SaaS projects including technical infrastructure, environments, networks, security processes and associated compliance/regulation Problem solving skills including experience in diagnosing issues in complex distributed architectures involving hybrid cloud scenarios, messaging More ❯

Report on endpoint coverage and daily compliance checks. Automation & Scripting Push automation using PowerShell. Find smarter, more efficient ways to run systems and reduce manual work. Backups & DR Manage SaaS backup solutions. Run DR tests (Azure failover, M365 restore, network failover). Work with clients on recovery planning (RTO/RPO), and act as an escalation point during incidents. Monitoring … Proactive Support Proactively identify improvements in IaaS, SaaS, and network services. Attend monthly client reviews—add value, answer questions, and advise on upgrades. Ticketing & Support Handle tickets from start to finish: triage, investigate, resolve, document. Collaborate with internal teams and 3rd parties when needed. Develop knowledge base articles to improve support speed and consistency. The absolute ideal skills mix would More ❯

circa £100,000 - £150,000) + Bonus + Equity. What You'll Do Step into a senior leadership role with a mission to drive innovation across an AI-powered SaaS platform. As VP of AI, you'll shape the vision and delivery of embedded AI/ML capabilities that improve real-world decision-making for thousands of users. Working closely … AI and data infrastructure, championing MLOps best practices, and aligning technical delivery with strategic goals. What You'll Bring Significant experience leading AI/ML teams in fast-paced, SaaS-driven environments Proven ability to deliver AI capabilities in production, including model training, deployment, monitoring, and lifecycle management Strong technical background across machine learning, data pipelines, and cloud platforms (e.g. More ❯