51 to 75 of 262 AWS Jobs in the City of London

LangGraph, AutoGen, CrewAI, or native agent SDKs. Data & Cloud: Advanced SQL, cloud data warehouse proficiency (Snowflake preferred), Docker, Git, CI/CD, and AWS deployment. Visualization: Solid experience with R Shiny or Shiny for Python. Governance & Mindset: Working knowledge of validation, auditability, data privacy, and security (GxP/regulated environment ...

personalisation and cross-channel customer engagement. Integration experience across APIs, SQL, ETL/ELT, MuleSoft and event-driven architectures. Experience with Snowflake, Databricks, Azure, AWS or Google Cloud. Understanding of batch, streaming, near-real-time and data federation architectures. Strong knowledge of security, data protection, privacy and consent management. Experience ...

LangGraph, AutoGen, CrewAI, or native agent SDKs. Data & Cloud: Advanced SQL, cloud data warehouse proficiency (Snowflake preferred), Docker, Git, CI/CD, and AWS deployment. Visualization: Solid experience with R Shiny or Shiny for Python. Governance & Mindset: Working knowledge of validation, auditability, data privacy, and security (GxP/regulated environment ...

Cloning Proficiency in database performance tuning and performance optimisation — clustering, warehouse sizing, caching, etc. Experience configuring external stages to integrate with cloud storage (AWS S3, Azure Blob, etc.). Experience writing Python/Shell scripts for data processing. Expert knowledge of Snowflake (Tidal is an added advantage). Proficiency ...

transport encryption, and consumer access control. Define and govern standards for secrets management, API key lifecycle, certificate rotation, and integration endpoint security (e.g. AWS Secrets Manager, AWS KMS), working in close partnership with Information Security. Identify and actively mitigate integration-level security risks including data leakage, misconfigured access, and injection … streaming (e.g. Apache Kafka, Amazon SQS/SNS, Amazon EventBridge), API gateways (e.g. Amazon API Gateway, Kong), and iPaaS platforms (e.g. MuleSoft, Boomi, AWS Step Functions, or equivalent). Strong AWS integration experience - including native AWS integration services and how they fit within a broader open-stack integration architecture. Proven ...

Working knowledge of or alongside: GenAI‐enabled services (e.g. conversational AI, agent assist, agentic workflows) Cloud‐based platforms and agentic tooling (e.g. Salesforce Agentforce, AWS Bedrock, Claude Code/Codex/Gemini) AI governance, responsible AI and emerging regulation Data discovery and analysis - awareness of tools visualisation tools, ETL processes ...

Workday, iManage (Cloud, Work 10) and other legal systems, including legal innovation technology. * Deep understanding of Microsoft M365 and public/hybrid cloud (Azure, AWS, VMware, Cisco), plus on-prem infrastructure and networking fundamentals. * Knowledge of hypervisors (VMware, Hyper-V), Linux and Windows, Middleware (app Servers, web Servers, databases ...

Workday, iManage (Cloud, Work 10) and other legal systems, including legal innovation technology. * Deep understanding of Microsoft M365 and public/hybrid cloud (Azure, AWS, VMware, Cisco), plus on-prem infrastructure and networking fundamentals. * Knowledge of hypervisors (VMware, Hyper-V), Linux and Windows, middleware (app servers, web servers, databases ...

tools such as Claude) work, what they can and cannot do, the main vendors and platforms, and the major cloud providers (Microsoft Azure, Amazon Web Services and Google Cloud) Regular, practical use of generative AI tools to produce real work, and the curiosity to keep learning as the tools change ...

MPLS, SWG, DLP, VPNs, and CASB Comprehensive understanding of industry-specific workflows and operational processes alongside relevant industry certifications (e.g., CISSP, CCNP, CCIE, Network+, AWS, Azure, or Google Cloud) #LI-MP1 #LI-Hybrid At Zscaler, we are committed to building a team that reflects the communities we serve ...

Python; data science/statistics, signal research, backtesting or factor modelling; full stack familiarity (Flask, Django, FastAPI); SaaS build/deploy on cloud (Docker, AWS or similar); an understanding of Java; and experience in quantitative finance or with financial market data. Qualifications & Experience: Bachelor's or Master's in Computer ...

Proven ability to work independently, manage multiple projects, and prioritize effectively. Preferred Qualifications Experience in implementing data analytics solutions in cloud platforms such as AWS, Azure, or Google Cloud. Programming skills in Python/R for statistical analysis Exceptional communication and presentation skills, with the ability to influence and inspire ...

person with DevOps, Data Science, Product, and UX teams. Core Tech Stack: Backend: Java, Spring/Springboot, Python Frontend: Vue.js/React Cloud & Ops: AWS, Terraform, CI/CD Databases: Elasticsearch/DynamoDB & PostgreSQL Machine Learning: Data Science models, NLP, Predictive Analysis, Monte Carlo Simulations Requirements: Full UK Right ...

certifications would be advantageous: CISSP CCSP SABSA TOGAF OSCP/OSWP CRTO/CRTE GXPN CREST CRT/CCT Microsoft Azure Cybersecurity Architect Expert AWS Security Specialty Other recognised security industry certifications What’s in it for you At Accenture in addition to a competitive basic salary, you will also ...

patterns used to deploy AI solutions at enterprise scale. Engineering and cloud foundations. Solid understanding of software engineering, data architecture and cloud platforms (Azure, AWS or GCP), with hands-on experience delivering scalable, production-grade solutions. Enterprise data experience. Experience integrating enterprise data into AI solutions, including data modelling, ingestion ...

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 ...

patterns used to deploy AI solutions at enterprise scale. Engineering and cloud foundations. Strong understanding of software engineering, data architecture and cloud platforms (Azure, AWS or GCP), with experience delivering scalable, production-grade solutions. Enterprise data expertise. Experience integrating enterprise data into AI solutions, including data modelling, ingestion pipelines, governance ...

APIs Practical experience with TypeScript, React and modern frontend development Understanding of distributed systems, containers and cloud-native infrastructure Experience working with Kubernetes, AWS and infrastructure as code, such as Pulumi Knowledge of artificial intelligence, multimodal large language models and computer vision Experience with API testing and a strong understanding ...

architecture decisions and application modernisation initiatives Required Skills Strong commercial Python engineering experience Experience building and supporting production applications PostgreSQL and Snowflake expertise AWS cloud experience (ECS, EKS, Lambda, S3, RDS or similar) CI/CD, automated testing and software engineering best practices Experience within asset management, investment management, capital ...

customer and business outcomes. Engineering and platform skills. Strong Python and software engineering skills, with working knowledge of APIs, system integration, cloud platforms (Azure, AWS or GCP), containers, CI/CD, testing and production monitoring. You can review code properly, spot design and quality problems, and give feedback engineers ...

transformation best practices. Familiarity with large-scale infrastructure and digital programmes within complex organisations. Professional certifications such as TOGAF, ITIL or cloud certifications across AWS, Microsoft Azure or Google Cloud Platform. What We're Looking For We are looking for a technically strong and commercially aware Technical Architect ...

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 ...

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 ...

Technology Graduate Program in London. You will rotate across projects in big data, AI, SRE, DevOps, and security engineering, gaining hands-on experience with AWS/Azure and modern development practices. You will work with Java/J2EE, Python, JavaScript, and other languages, under senior engineers, while developing technical ...

enhance engineering productivity, quality and delivery What you'll bring Strong experience with Python and SQL Expertise building modern data platforms on Azure, AWS or GCP Strong ETL and ELT engineering experience Data modelling and data warehousing expertise CI/CD, Git and engineering best practice Previous experience leading, mentoring ...