4 of 4 AI Jobs in Norfolk

with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across security domains, and data usage for AI/ML. Excellent analytical and problem-solving skills; ability to work autonomously and collaborate with customers and stakeholders. Desirable: Previous experience working on Defence, national ...

sets and models for multiple customers. You will work closely with the software engineering team to integrate product architecture and drive the introduction of AI driven policy. Key Skills Requirements Include: Strong experience with Power BI Key understanding of data sourcing inc. Data Lake, Power Platform and SQL Familiarity with … Data Factory Understanding of CI/CD for Power BI Keen interest in the future use of AI and machine learning Key communication skills In exchange for your commitment and hard work you can expect a generous salary and opportunities to enhance your career in the future. If this role ...

DevOps Engineer | Norwich | Hybrid | AI EdTech SaaS Company Applications are welcome for Junior developer level (with strong fundamentals), or experienced DevOps Engineers seeking more ownership and mission impact. Skills and experience required: ASP.NET Core and Python development Familiarity with AWS services Terraform or other infrastructure-as-code tools CI/… based development and code review practices Awareness of API security and data protection principles Desirables: SQL schema or stored procedure experience Interest in ethical AI in Education Role Overview We’re looking for a capable and curious DevOps Engineer to help build and maintain secure and scalable systems. Working closely ...

scalability, security, and performance. Research emerging data technologies and industry best practices; recommend and drive modernisation of data platforms, especially in big data, cloud, AI/ML-ready environments. Design and implement robust data models, frameworks, standards, and architectural artefacts to support enterprise-wide data initiatives. Collaborate with engineering, analytics … sensitive data domains. Document data architecture artefacts, maintain the enterprise architecture repository, and support long-term architecture governance. Advise on future technology adoption - including AI, ML, automation, or advanced analytics - to keep data ecosystems future-proof. Key Requirements: Proven experience as a Data Architect in complex, secure or regulated environments ...