14 of 14 Contract Amazon Bedrock Jobs in London

applications that embed AI capabilities* Strong Python experience* Experience with LangGraph, Strands and DeepEval* Strong AWS experience, ideally including Lambda, Fargate/ECS, ECR, Bedrock, S3 and RDS/Postgres* Experience integrating applications via APIs, including REST and async/event-driven patterns* Docker and Kubernetes/EKS experience ...

exposure (e.g. Terraform, APIs, CI/CD beneficial) * Experience working in Business Intelligence/analytics environments * 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 * Exposure to ML pipelines or collaborating with ...

/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 ...

/ML tooling – scikit, TensorFlow, hugging face, pytorch Any ML/Gen AI tooling such as Langchain, Langsmith, ML Flow, Dataiku, Data Robot, Sagemaker, Bedrock, Weights and Biases. Oauth/JWTs Two-stage remote interview process with capacity to start ASAP. ...

/CD and container environments Skills: AWS, Linux, IAM, ECS, RDS, S3, Lambda, Datadog, ServiceNow, ITIL. Exposure to AI/GenAI and AWS Bedrock is a plus. SC Clearance required/eligible. On-call and occasional weekend support required. Apply ...

typical tools include: Python for experimentation, modelling, and evaluation Weights & Biases (or equivalent) for experiment tracking AWS , including services such as SageMaker and Bedrock Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools . Adaptability and outcome focus ...

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 ...

/ML Exposure (Essential) Candidates must demonstrate practical 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 generative AI concepts, including prompt engineering Exposure to ML pipelines or collaboration with Data Science … data warehousing, analytics, or data platform development Experience working in complex or regulated environments is beneficial Desirable Experience Knowledge of AWS AI services (e.g. Bedrock) Experience contributing to data lake or modern data platforms Exposure to DataOps/CI-CD practices Experience in the public sector (nice to have ...

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 ...

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 ...

Services team. You'll be at the intersection of Agentic AI and Zero Trust , building the secure backbone for the next generation of AWS Bedrock deployments. The Baseline FinServ Pro: You know the UK landscape inside out- DORA , FCA Operational Resilience , and the EU AI Act aren't just … buzzwords to you; they're your toolkit. Bedrock Builder: Hands-on experience with AWS Bedrock (Agents, Knowledge Bases, Guardrails, and the full model lifecycle). AI/ML Foundations: Deep understanding of FMs, RAG , non-deterministic agents, and complex tool-use. Secure AI: Expert-level knowledge of OWASP ...

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 ...