12 of 12 Permanent Serverless Jobs in Scotland

would indicate this) Experience with AWS ideally (Azure or GCP would be a good indication) Experience with Infrastructure as Code, CDK ideally (Terraform or Serverless potentially) Great to have but can be taught: Data and stream processing - AWS Firehose and ETL platforms Experience with authentication frameworks CI/ ...

micro frontend, Entity Framework. Clear working knowledge & experience in Azure Logic Apps, Azure SQL Database, Service Bus (Queues), .Net Core App for Azure, Azure Serverless, Azure Functions Confident communicator, keen to learn and share knowledge Candidates should have worked in agile environment, leading and driving projects independently. Clear understanding ...

Training & Inference, RLHF, Agent, and Multimodal processing. This platform will integrate inference, orchestration, and state management, defining the technical evolution path for Serverless AI + Agentic Serving Design a heterogeneous execution framework across CPU/GPU/NPU for agent me click apply for full job details ...

About the Role Join a pioneering team that’s redefining how AI and cloud-native platforms power front-office trading. We’re hiring a hands-on engineering leader to shape the future of our Dart ...

Description The Software Engineering team is looking for an experienced mobile application software engineer to join the product team that works closely with the business in delivering and maintaining software for our external customers. It ...

About the Role Join a pioneering team that’s redefining how AI and cloud-native platforms power front-office trading. We’re hiring a hands-on Data Engineer to help shape the future of our ...

Data Engineer 12 month FTC £70,000 - £75,000 + extensive benefits Edinburgh – 3 days pw onsite We are currently partnering with a leading and customer centric financial services company in their search for a ...

Training & Inference, RLHF, Agent, and Multimodal processing. This platform will integrate inference, orchestration, and state management, defining the technical evolution path for Serverless AI + Agentic Serving Design a heterogeneous execution framework across CPU/GPU/NPU for agent memory, tool invocation, and long-running multi-turn conversations … state-management subsystem to support agent retrieval, planning, and persistent memory. Build a high-performance Runtime/Framework that defines the next-generation Serverless AI foundation through elastic scaling, cold start optimization, batch processing, function-based inference, request orchestration, dynamic decoupled deployment, and other features to support performance scenarios ...

Training & Inference, RLHF, Agent, and Multimodal processing. This platform will integrate inference, orchestration, and state management, defining the technical evolution path for Serverless AI + Agentic Serving Design a heterogeneous execution framework across CPU/GPU/NPU for agent memory, tool invocation, and long-running multi-turn conversations … state-management subsystem to support agent retrieval, planning, and persistent memory. Build a high-performance Runtime/Framework that defines the next-generation Serverless AI foundation through elastic scaling, cold start optimization, batch processing, function-based inference, request orchestration, dynamic decoupled deployment, and other features to support performance scenarios ...

Training & Inference, RLHF, Agent, and Multimodal processing. This platform will integrate inference, orchestration, and state management, defining the technical evolution path for Serverless AI + Agentic Serving Design a heterogeneous execution framework across CPU/GPU/NPU for agent memory, tool invocation, and long-running multi-turn conversations … state-management subsystem to support agent retrieval, planning, and persistent memory. Build a high-performance Runtime/Framework that defines the next-generation Serverless AI foundation through elastic scaling, cold start optimization, batch processing, function-based inference, request orchestration, dynamic decoupled deployment, and other features to support performance scenarios ...

Training & Inference, RLHF, Agent, and Multimodal processing. This platform will integrate inference, orchestration, and state management, defining the technical evolution path for Serverless AI + Agentic Serving Design a heterogeneous execution framework across CPU/GPU/NPU for agent memory, tool invocation, and long-running multi-turn conversations … state-management subsystem to support agent retrieval, planning, and persistent memory. Build a high-performance Runtime/Framework that defines the next-generation Serverless AI foundation through elastic scaling, cold start optimization, batch processing, function-based inference, request orchestration, dynamic decoupled deployment, and other features to support performance scenarios ...

Training & Inference, RLHF, Agent, and Multimodal processing. This platform will integrate inference, orchestration, and state management, defining the technical evolution path for Serverless AI + Agentic Serving Design a heterogeneous execution framework across CPU/GPU/NPU for agent memory, tool invocation, and long-running multi-turn conversations … state-management subsystem to support agent retrieval, planning, and persistent memory. Build a high-performance Runtime/Framework that defines the next-generation Serverless AI foundation through elastic scaling, cold start optimization, batch processing, function-based inference, request orchestration, dynamic decoupled deployment, and other features to support performance scenarios ...