9 of 9 Amazon Bedrock Jobs in the City of London

Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure-as-code Own and scale vector search infrastructure (OpenSearch, Algolia, AWS Bedrock Knowledge Bases) and embedding pipelines Build and maintain CI/CD pipelines for inference services, retrievers, ingestion workflows, and RAG components Implement observability across ...

cloud substrate that runs the AI workloads. You will: Architect and maintain AWS infrastructure (ECS Fargate, Lambda, Step Functions, EventBridge, S3, Athena, DynamoDB, Bedrock) Build and operate data pipelines that move LLM outputs from generation to analytics Manage containerized deployments, CI/CD, and infrastructure as code Ensure reliability ...

/analytics environments Candidates must demonstrate some level of exposure to AI/ML, such as: Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting AI-enabled data products or workflows Understanding of generative AI/prompt engineering concepts If your experience matches the above requirements ...

performance optimisation Working within complex or regulated environments Youll also need practical exposure to AI or Machine Learning initiatives, including areas such as: AWS Bedrock or similar AI services Generative AI and prompt engineering concepts AI-enabled data products or workflows Supporting ML pipelines or working alongside Data Science … Intelligence Engineer, BI Engineer, Data Engineer, AWS, Glue, Lambda, Redshift, Athena, SQL, Python, Data Lake, Data Platform, Business Intelligence, Analytics, AI, Machine Learning, AWS Bedrock, Generative AI, Data Warehousing, Public Sector, London, Swindon, Hybrid ...

artifacts as a centralized evaluation service. Required Technical Skills Regulated Finance: Proven experience testing software within FCA, DORA, or EU AI Act frameworks. AWS Bedrock Ecosystem: Hands-on experience configuring, testing, and bypassing Bedrock Guardrails, Agents, and Knowledge Bases (RAG) . AI Security & Fundamentals: Solid understanding of Foundation ...

Harness, Retrieval-Augmented Generation (RAG), GraphRAG, knowledge graphs, code agents, deep research agents, and chatbots. Familiarity with AI engineering platforms (Azure AI Foundry, AWS Bedrock). Knowledge of agentic frameworks (Claude Agent SDK, AWS Bedrock AgentCore, MS Agent Framework, Langgraph Deep Agents,) and machine learning platforms for model ...

Build and scale the 'Safety & Trust' engine for our agentic AI ecosystem. You will be the technical lead responsible for ensuring our AWS Bedrock-based agents meet the highest standards of FCA Operational Resilience , DORA , and EU AI Act (Art. 15) compliance. Core Responsibilities Automated Red Teaming: Implement adversarial … uncertainty, hallucination, and bias across all non-deterministic systems. Secure Architecture: Map OWASP LLM Top 10 and agentic threats to technical controls; manage AWS Bedrock Guardrails and Knowledge Bases. AI Supply Chain: Own the AI-BOM , ensuring supply chain integrity, signed artifacts, and drift monitoring. Regulatory Evidence: Produce ...

complex, non-deterministic systems. Adversarial Engineering: Translating emerging threats-such as Prompt Injection, Sleeper Agents, and Denial-of-Wallet-into rigorous test cases. AWS Bedrock Mastery: Overseeing the secure model lifecycle, including the configuration of Guardrails, Knowledge Bases (RAG), and Agentic tool-use. Regulatory Stewardship: Mapping the firm … risks of non-deterministic agentic behavior. Mastery of OWASP LLM Top 10 and the NIST AI Risk Management Framework. Hands-on experience securing AWS Bedrock and governing the full AI model lifecycle. Ability to translate 'AI Red Teaming' outcomes into high-impact insights for both engineers and executives. London ...