4 of 4 Remote/Hybrid AWS CloudFormation Jobs in the City of London

client currently seek a SC Cleared AWS DevOps Engineer to join their dynamic team on an initial 6 month contract. This role is Hybrid (2 days a month in office based in Stratford) Key Skills and Responsibilities: Design, deliver, and support secure and scalable AWS infrastructure … Security Testing) and DAST (Dynamic Application Security Testing) tools into CI/CD pipelines to enforce secure development practices Automate infrastructure provisioning using CloudFormation, Terraform, or CDK Use tools like Chef and Ansible for automated server configuration, patching, and environment standardization Build and manage CI/CD pipelines ...

Were looking for an AWS Security Engineer for our client in the data sector, based in London, on an initial 3 to 6 month contract paying up to £500 per day Outside IR35. This role offers hybrid working with an expectation to attend the office 3 days … week. You will focus on hands-on remediation of cloud and application vulnerabilities across AWS environments. The position involves working closely with Developers, Data Engineers and the AWS Security Lead to validate findings, prioritise risk, implement secure fixes, and strengthen AWS security controls. This ...

iterate rapidly. Transition validated experiments into production-ready solutions, collaborating with engineers on deployment and monitoring. Build and optimise ML pipelines using AWS services and experiment tracking tools. Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring. Implement robust experiment tracking, model versioning, and reproducibility … Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow. Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments. Strong experiment design skills: hypothesis formulation, A/B testing, and statistical evaluation. Proven track record ...

Engineer Required Technical Skills AWS & Generative AI: - AWS Bedrock experience (model selection, deployment, prompt engineering) - Agentic workflow experience ideally based on AWS AgentCore - Multi-agent orchestration frameworks (AWS Strands Agents, LangGraph, or similar) - Large Language Model (LLM) integration and fine-tuning - Experience … chunking strategies MCP & Tool Integration: - Model Context Protocol (MCP) implementation - Tool calling and function integration with LLMs - API design for LLM tool interfaces - AWS Lambda integration with agents AI Safety & Evaluation: - Guardrail implementation (hallucination detection, toxicity filtering) - Response evaluation framework design - A/B testing for AI systems ...