6 of 6 Contract Amazon Bedrock Jobs in England

datasets and accelerate experimentation and insights. Key Responsibilities * Architect and deliver a cloud-native research platform on AWS * Design environments supporting Jupyter Notebooks and Amazon SageMaker * Integrate Amazon Bedrock and emerging AI services to enhance research workflows * Build scalable data access and connectivity frameworks for structured … building data science platforms or research environments * Strong grounding in data engineering principles (pipelines, governance, data access) * Experience integrating AI/ML services, including Amazon Bedrock * Ability to design and expose APIs/services for data and notebook interoperability * Experience working in enterprise or regulated environments Nice ...

likely extension) Responsibilities : As a Cybersecurity Specialist, you will be responsible for bringing hands on experience with leading AI technologies and platforms, primarily AWS Bedrock, Azure OpenAI, Microsoft 365 and other foundation model providers, to help teams adopt these capabilities securely and effectively. Provide guidance on model security, deployment … Encryption is required. Expert proficiency in Secure AI is recommended.2.Master proficiency in Microsoft Azure Active Directory Security, along with intermediate proficiency in AI Agents, Amazon Bedrock, and Microsoft Azure AI Foundry, is suggested. You are expected to be a subject matter expert , collaborate and manage the team ...

financial modelling, and emerging AI capabilities. Your new role Design scalable AWS-native and AI-enabled architectures. Build and enhance research platforms (Jupyter, SageMaker, Bedrock). Create secure, efficient data access patterns for large financial datasets. Integrate search and discovery tools (e.g., OpenSearch). Lead architectural decisions, documentation … Solid data modelling and data architecture capability. Understanding of data engineering, pipelines, governance, and connectivity. Experience architecting AI/ML solutions, including exposure to Amazon Bedrock or similar. Knowledge of modern engineering platforms including CI/CD and infrastructure-as-code. Experience building or exposing APIs/services ...

audiences. Core Capabilities Enterprise AI & Architecture Agentic AI, RAG, enterprise ML in regulated FS Azure AI Studio, Azure AI Search, Fabric, Document Intelligence AWS Bedrock & SageMaker pattern experience FastAPI, Kubernetes, Docker, CI/CD (ADO/GitHub/GitLab) Secure landing zones, policy-driven cloud governance, FinOps Vector, Data … SaaS and Azure-native sources to enable analytics and GenAI readiness. Cross-Cloud FS AI Enablement Led design patterns portable across Azure + AWS Bedrock/SageMaker for regulated workloads. Developed controls for data boundary enforcement & model validation pipelines. GenAI & Cloud Solutions Architect Accelerated AI value from PoC pilot ...

Generative AI. Our client is at the forefront of AI adoption; you will be the technical lead ensuring that these powerful technologies from AWS Bedrock to Azure OpenAI are implemented with world-class security standards. Key Responsibilities AI Security Architecture: Design and implement secure deployment patterns and guardrails … foundation models across AWS Bedrock , Azure OpenAI , and Microsoft 365 . Security Strategy: Develop innovative strategies to enhance application security, specifically addressing risks like prompt injection, data leakage, and insecure output handling. Infrastructure Governance: Translate platform-specific risks into actionable engineering patterns, focusing on Network Encryption and Identity Management ...

Generative AI. Our client is at the forefront of AI adoption; you will be the technical lead ensuring that these powerful technologies from AWS Bedrock to Azure OpenAI are implemented with world-class security standards. Key Responsibilities AI Security Architecture: Design and implement secure deployment patterns and guardrails … foundation models across AWS Bedrock , Azure OpenAI , and Microsoft 365 . Security Strategy: Develop innovative strategies to enhance application security, specifically addressing risks like prompt injection, data leakage, and insecure output handling. Infrastructure Governance: Translate platform-specific risks into actionable engineering patterns, focusing on Network Encryption and Identity Management ...