576 to 600 of 2,284 AWS Jobs in London

Experience with Python and/or TypeScript. Experience testing voice-enabled applications. Experience within Ed-Tech, Education, SaaS or Product-led organisations. Exposure to AWS cloud environments. Experience with performance, security or compliance testing. The interview process consists of two remote stages with the opportunity to start immediately. ...

tools and a habit of staying up to date with how they can improve engineering workflows Highly desirable AdonisJS, NestJS or similar MVC frameworks AWS infrastructure and services Infrastructure as Code (Terraform or similar) Message queues and background job processing Caching strategies and performance optimisation CI/CD pipelines ...

features go live. Tech Stack Proficiency: Proficient in at least one modern language (e.g., Python, TypeScript, Java, Go) and comfortable working within cloud environments (AWS, Azure, or GCP). Pragmatic Mindset: You understand the balance between elegant code and delivering real value to users in a fast-moving startup environment. ...

experience designing and building complex ETL processes and large-scale data pipelines Significant experience working with cloud-based data platforms such as Azure, AWS or GCP Advanced SQL expertise with experience working across large and complex datasets Strong Python skills for data engineering, automation and orchestration Solid understanding of modern ...

Cyber Kill Chain Experience investigating phishing, malware, endpoint, identity and network security incidents Familiarity with Windows, Linux, Active Directory and cloud environments (AWS, Azure or Microsoft 365) Strong analytical and problem-solving skills with the ability to make decisions under pressure Excellent written and verbal communication skills Essential Require Active ...

Playing a pivotal role in the backend engineering team, you will help to build full-stack cloud apps. You'll be using Python and AWS Cloud services on the backend. Adopt a Server-less first approach to application design, collaborating within an agile team alongside other backend engineers and product ...

must.* Experience with scripting languages (Python preferred).* Understanding of OS, and in-depth working knowledge of Windows and Linux a must.* Experience with AWS/Azure public cloud toolsets and environments.* Basic experience with AI concepts and implementations.**Career Stage:**Senior Associate**London Stock Exchange Group (LSEG) Information:**Join ...

within a regulated environment — comfortable working through controls covering security, compliance, model risk, change management and audit, rather than treating governance as an obstacle.Desired* AWS experience, including AI services such as Bedrock and the Serverless ecosystem, with the ability to work within established cloud frameworks.* Proficiency in front-end technologies ...

DAMA-DMBOK, DCAM, NIST AI Risk Management Framework, ISO standards, or equivalent governance methodologies. Experience working with modern cloud and data platforms (e.g. Azure, AWS, GCP, Databricks, Snowflake, Microsoft Fabric) sufficient to ensure governance requirements are embedded within platform and solution designs. Experience facilitating executive workshops, stakeholder engagement sessions ...

NCSC guidance Regulatory landscape including GDPR and PCI DSS Familiarity with HMG and NCSC standards Modern technology environments: Cloud platforms such as Azure, AWS and Google Cloud Microsoft 365 Infrastructure and network security Zero Trust principles Understanding of security architecture concepts Certifications Relevant industry certifications such as CISSP, CISM, CRISC ...

support. Build production-grade systems with a strong focus on observability, monitoring, and operational excellence, enabling rapid detection and resolution of issues. Work with AWS services to build cloud-native, highly available systems. Define and manage infrastructure using Terraform. Implement CI/CD pipelines and deployment workflows using tools like ...

core Big Data Analytics domain with some exposure to advanced proofs‐of‐concept and an understanding of a major public cloud platform (AWS, GCP, Azure). Experience diving deeper into solution architecture and design. Nice to have: Databricks Certification. The role requires travel to customer sites in the UK (approx. ...

Technologies you'll encounter The environment evolves, but 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 ...

with Sitecore CDP, Personalize, Search, Content Hub, Send or other composable DXP products. Understanding of Sitecore licensing, deployment architecture and cloud hosting (Azure/AWS). Familiarity with Next.js, React, Vercel and Netlify. AI and Modern Development Candidates should demonstrate experience integrating AI into professional software development, including: AI coding ...

agent frameworks (LangGraph, Claude Agent SDK, OpenAI SDK) or equivalent custom implementations An interest in LLM evaluation, debugging and observability Cloud platform experience (AWS, GCP or Azure) is a plus at junior level and expected at senior level The bar scales with the level. For senior roles we will expect ...

processing) there is very little margin for error Our technology platform is built in Ruby on Rails, and we also use a bunch of AWS services (via Terraform), Postgres, Docker, and a little bit of React We have automated tests, continuous deployment, and release to production multiple times ...

Hands-on coding involvement Senior Engineer who led cross-team delivery Experience in SaaS, AI, or data-driven platforms. Familiarity with cloud infrastructure (Azure, AWS, GCP). Experience working in scale-up environments with evolving priorities. Exposure to ML/AI systems or knowledge-based platforms Benefits of joining ...

platforms. Experience with vector databases and search systems such as pgvector, Qdrant, Weaviate, Pinecone, OpenSearch, Elasticsearch, or Vespa. Experience with cloud platforms such as AWS, Azure, GCP, Vercel, Cloudflare, or Kubernetes-based environments. Experience with identity, access control, SSO, RBAC/ABAC, audit logs, secrets management, or secure tool execution. ...

5+ years of experience in software engineering with demonstrated leadership Hands‐on experience deploying enterprise software at scale Strong expertise in cloud infrastructure (Azure, AWS, GCP) Experience with Kubernetes, Helm, and CI/CD pipelines High agency — you don't wait for permission to solve problems A doer mentality ...

growth.Free access to learning platforms: Free access for all, to world-class learning assets and curated programs from Harvard Business Review, Coursera, Udemy, Microsoft, AWS, Google and many more.Digital campuses and academy: Our engineering academy offers more than 60,000 hours of training, as also our digital campus on GenAI ...

challenge of solution design. Ample awareness of risk, regulatory, and control considerations within large‐scale financial systems. Preferred: familiarity with cloud‐based architectures (Azure, AWS) and values of scalability and resilience. Preferred: practical understanding of AI‐enabled delivery, including the use of enterprise copilots and generative AI tools. Benefits ...

Machine Learning, Computer Science, or related discipline Experience working within global delivery teams or a consulting/professional-services environment Professional certifications such as AWS Certified Machine Learning Specialty, Google Cloud ML Engineer, or Azure AI Engineer Associate #J-18808-Ljbffr ...

analytics/data engineering – building pipelines, models, and data products yourself You're fluent in software and data architecture, containerisation, and cloud platforms (AWS/Azure) You understand what AI is good for , and you help your team pick the right tool for the right problem rather than reaching ...

that serve your own work. Hands-on with a major cloud and its managed AI services (Azure and AI Foundry, or the GCP/AWS equivalents), plus solid SQL and relational modelling. Architectural judgement: you make the design call, defend the trade-offs, and know where an LLM system needs ...

ambiguous, fast‐moving environments where requirements evolve quickly. A bias toward ownership, pragmatism, and delivering useful solutions. Nice to Have Experience with cloud platforms (AWS, GCP, Azure) and infrastructure telemetry. Familiarity with distributed systems, monitoring data, or usage-based billing data. Experience supporting customer-facing data products or platforms. What ...