6 of 6 AI Jobs in Woking

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 ...

entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Get the Future You Want ...

entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Get the Future You Want ...

+ uncapped commission Mature, adult environment - no micromanagement, just results Hybrid working options Charity days every quarter All the latest tech - WFH set up, AI systems, mobile phone etc... Realistic billing expectations and genuine career progression Backing from a highly respected leadership team Regular incentives, social events, and recognition What ...

Digital Download Site - Woking (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET Developer)With operations in over 20 countries our client has fast become a major player within the digital download … will be trained in all aspects of: .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Azure, Bootstrap, Agile and MongoDB. Top performers can expect to receive their first promotion (and pay rise) within 6 months. Our client offers a unique working ...

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 ...