8 of 8 AWS CloudFormation Jobs in Central London

AWS security engineer you will lead the remediation of cloud and application vulnerabilities across the AWS environment. You will work closely with Developers, Data Engineers, and the AWS Security Lead to validate findings, prioritise risk, implement fixes, and strengthen security controls. A strong understanding … software development, DevSecOps practices, and vulnerability management is essential. Key Responsibilities Own end-to-end remediation of AWS and workload vulnerabilities: confirm findings, assess impact, prioritise actions, and track through to closure. Partner with Developers and Data Engineers to implement secure fixes in code, infrastructure, and delivery pipelines ...

Collaborate across diverse technical teams , supporting knowledge-sharing, mentoring, and continuous learning. Skills & Experience Required Strong experience designing and implementing cloud solutions using AWS, Azure, or Google Cloud (certifications advantageous). Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation. Solid understanding of cloud strategy, platform ...

Python or Bash to streamline repetitive tasks. Collaborate with developers to help troubleshoot basic deployment and build issues. Assist in configuring cloud services (AWS/Azure/GCP) for efficient resource usage and scaling. Understand the basics of configuration management using tools like Ansible or Chef. Requirements Currently … attention to detail. Good written and verbal communication skills. Nice to Have (Bonus) Exposure to Python or Bash scripting. Knowledge of cloud platforms (AWS, Azure, GCP). Basic understanding of containerization (Docker). Understanding of CI/CD concepts or Infrastructure-as-Code principles. What You’ll Gain ...

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 ...

stakeholders. The Senior ML Engineer will own the journey from experimentation and hypothesis testing through to secure, production-grade deployment, using a modern AWS-based MLOps and LLMOps platform. The Role The successful candidate will balance rapid experimentation with production readiness, prototyping and validating machine learning and generative … standards Transitioning validated experiments into production-ready ML services, collaborating closely with engineering teams on deployment and monitoring Building scalable ML pipelines using AWS services and modern experiment tracking frameworks Developing and integrating LLM-powered capabilities for evaluation, tracing and production monitoring Implementing robust experiment tracking, model versioning ...

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 ...

trading. Collaborate with internal infra/platform teams to align capabilities and avoid duplication. Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes. Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed. Work across organisational boundaries and champion … ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different Direct Impact ...