10 of 10 Permanent Serverless Jobs in Scotland

Location Remote, but requirement to meet up once a month for in-person collaboration day UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud ...

Cloud Composer). Metadata management and data cataloguing (e.g., DataHub, Alation). Modern orchestration platforms (Airflow, Prefect, Dagster). Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation ...

Role: Data Engineer Location: Glasgow Hybrid Work :3 days per week and 2x WFH Salary: Competitive but around £50,000 - £60,000 Tech stack: Python, AWS, CI,CD, ETL, Data Warehouse We CANNOT sponsor or ...

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 ...

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 ...