1,951 to 1,975 of 3,802 Azure Jobs in London

architecturesEvent-driven integration patternsExperience architecting solutions that support both operational reporting and advanced analytics, including AI and machine learning workloads. Strong knowledge of Azure-based data platforms and cloud architecture principles. Familiarity with Master Data Management (MDM) frameworks and technologies. Experience integrating multiple business-critical systems within a hybrid … billing solutions. Experience supporting large-scale cloud transformation programmes. Understanding of data governance, privacy, and regulatory compliance requirements. Relevant architecture certifications such as TOGAF, Azure Solutions Architect, or equivalent. Experience within insurance, legal services, claims management or financial services is desirable but not mandatory. Why Join Us? This ...

complex technology landscape and a significant programme underway to improve how its core applications and services communicate. The environment spans C# .NET, Python and Azure, and you’ll have considerable freedom to assess what’s there, challenge existing thinking and help shape the right technical approach. This … event‐driven solutions. Reviewing existing architecture and proposed designs, making pragmatic recommendations and leading them through to delivery. Working across C# .NET, Python and Azure, including cloud‐based integration technologies. Supporting other engineers and helping improve technical standards, testing, code quality and development practices. Using AI‐augmented development practices ...

invoices, GL/CC/WBS, tax determination). Experience with integration middleware or platforms (e.g., SAP Integration Suite/CPI, MuleSoft, Dell Boomi, Azure Integration Services), including security, monitoring, and CI/CD. Excellent stakeholder management and communication skills with Business and IT; ability to articulate complex integration … focused mindset; experience working with upstream/downstream products (e.g., MDG, ServiceNow) and third-party providers. Familiarity with project tools and ALM (e.g., JIRA, Azure DevOps, Smartsheet, SolMan) and with test automation for interfaces. Understanding of both Indirect and Direct Procurement process flows and data impacts across ...

3+ years. Experience leading small data engineering teams, ideally 2–3 engineers. Experience designing, building, and maintaining data processing systems at scale. Experience with Azure cloud services, Airflow, dbt, Kubernetes, GitHub, and Terraform. Experience working in fast-moving, high-growth, or startup-like environments is preferred. Strong communication skills … implement new pipelines using best-in-class tools such as Airflow, dbt, and Snowflake. Contribute to the development of scalable cloud infrastructure on Azure, including infrastructure as code using Terraform. Promote engineering best practices, including clean code, maintainability, testing, and strong documentation. Support continuous improvement across the team ...

Performance work with evidence behind it, across both the C# and the data layer, using Entity Framework or EF Core against SQL Server and Azure SQL. API and service design that survived contact with real load, built in ASP.NET or ASP.NET Core. Mentoring and code review you have already … done, with a view on what makes feedback land rather than just get given. Azure in anger: Functions, WebJobs, Blob Storage, and Application Insights when something needs diagnosing. CI/CD and automated build and deployment as part of how you work, not something a platform team handles ...

remediation, and incident response. Design and maintain secure CI/CD pipelines, integrating SAST, DAST, dependency scanning, and container security tooling. Manage cloud infrastructure (Azure) using infrastructure-as-code, with security controls, secrets management, and least-privilege access enforced by default. Lead on compliance requirements for UK Government programmes … Support security review processes for new features, third-party integrations, and infrastructure changes. Essential Skills and Experience Strong background in cloud security, ideally on Azure, with hands-on experience of IaC tooling (Terraform, Bicep, or equivalent). Proven experience building and operating secure CI/CD pipelines in production ...

bonds and equities Experience leveraging AI and Agentic AI solutions within software engineering environments Desirable Experience with cloud-based risk platforms and pricing engines Azure Kubernetes Service (AKS) Azure Data Lake Microservices and event-driven architectures Kafka, Redis, Spark, HBase, and HDFS Market Risk platforms covering VaR, Stress ...

Security legislation (GDPR, PCI DSS, ICO) Frameworks (ISO 27001, NIST CSF, CIS Controls v8) HMG/NCSC policies and guidance Cloud security (AWS, Azure) Microservice architectures PKI, Cryptography, Privileged Access Management Certifications: SABSA, TOGAF, AWS/Azure Architect, CISSP, CISM (or working towards CIISEC/UK Cyber Security ...

Deep, current C# and .NET 10+ expertise, including ASP.NET Core and Web API services. Strong API and microservice engineering, plus event-driven delivery with Azure Service Bus, Kafka or an equivalent messaging platform. Practical CI/CD, automated testing, Git, secure development and production-support experience. Working knowledge … containers and infrastructure as code, with the judgement to collaborate effectively on platform decisions. Desirable criteria: Azure API Management, Logic Apps, Functions and wider cloud-native Azure engineering. Node.js, Python or TypeScript in a mixed-language engineering estate. Integration or middleware modernisation, especially migration from legacy point ...

Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration … handling commercial realities, and meeting strict SLAs, timescales, and budgets. Preferred Knowledge‐level & Certifications Multiple professional‐level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‐305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We’ll Offer ...

designer and QA teams. The team is to deliver the product roadmap alongside driving further adoption of cloud first technologies; we are Azure based, with PostgreSQL and MongoDB as our primary data stores and a multi-provider LLM stack (OpenAI, Google Gemini and Anthropic). We want … plans Our engineering environment includes technologies such as Python (FastAPI), LangChain/LangGraph for multi-agent LLM orchestration, React/TypeScript, PostgreSQL, MongoDB, Redis, Azure (App Service, Container Registry, Blob Storage), Docker, GitHub Actions, and modern CI/CD pipelines. About You: You will have a strong engineering background ...

Python and leading AI development frameworks.Implement and enhance AI solutions through prompt engineering, embeddings, orchestration frameworks, and security controls.Develop solutions on cloud platforms including Azure, AWS, and Google Cloud Platform, utilizing modern AI and data services.Collaborate with architects, data scientists, software engineers, and business stakeholders throughout the project lifecycle.Provide … LangChain or similar technologies.Deep understanding of LLM architectures, Generative AI, Agentic AI concepts, RAG frameworks, embeddings, and prompt engineering.Experience designing and deploying solutions on Azure, AWS, or GCP cloud platforms.Experience working in a technical client-facing role, preferably delivering AI or data-driven transformation programmes.Strong understanding of AI solution ...

5+ years of experience working in Platform Engineering, SRE, DevOps or infrastructure-focused software development You have a strong experience with Cloud environments (Azure preferred) and understand the fundamentals of cloud networking, identity, compute & storage You have deep, hands-on experience operating Kubernetes in production – including deployments, troubleshooting, networking … modern Kubernetes configuration approaches – operators, GitOps controllers, or similar Strong understanding of Kubernetes internals, cluster lifecycle & multi-cluster patterns Experience operating & supporting platforms across Azure and on-prem environments, including practical experience with Windows Servers & Linux systems Solid understanding of distributed system concepts, including service networking, messaging patterns & event ...

leading AI development frameworks. Implement and enhance AI solutions through prompt engineering, embeddings, orchestration frameworks, and security controls. Develop solutions on cloud platforms including Azure, AWS, and Google Cloud Platform, utilizing modern AI and data services. Collaborate with architects, data scientists, software engineers, and business stakeholders throughout the project … similar technologies. Deep understanding of LLM architectures, Generative AI, Agentic AI concepts, RAG frameworks, embeddings, and prompt engineering. Experience designing and deploying solutions on Azure, AWS, or GCP cloud platforms. Experience working in a technical client-facing role, preferably delivering AI or data-driven transformation programmes. Strong understanding ...

working as a data engineer (ideally consulting/financial services) – salary and level will reflect experience. Proficiency in Python (pandas, numpy) Professional experience with Azure cloud services (AWS/GCP acceptable with deeper experience) Strong experience deploying clean, maintainable, production-level code. Basic understanding of DAG (Directed Acyclic Graphs … entrepreneurial spirit and drive to work in an early-stage start-up that directly rewards impact Tech stack: Platform: We build everything in Azure (but sometimes need to work in other cloud providers like AWS depending on client’s needs). Backend – We develop all our code in Python ...

room of engineers and just as easily simplify complex concepts for senior decision‐makers Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts A "hacker mindset" with a strong engineering foundation: you are a creative problem‐solver who builds robust, scalable, and efficient scripts … custom tooling; experience with REST APIs and SDKs is strongly preferred Hands‐on experience with at least one major cloud platform (GCP, AWS, or Azure), including data storage, compute, and deployment patterns common in ML workflows Solid understanding of machine learning concepts and the ML development lifecycle — from data ...

deliver open source code Architect cloud infrastructure solutions like OpenStack, Kubernetes, Ceph, Hadoop and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud) Coach and develop your colleagues where you have insights Grow a healthy, collaborative engineering culture in line with the company values Work from … degree in Computer Science or related software engineering expertise You have sound knowledge of cloud computing concepts & technologies, such as Kubernetes, OpenStack, AWS, GCP, Azure, Ceph, etc. You have practical knowledge of Linux and networking You have Intermediate to Advanced level of Python programming skills You are a dynamic ...

environments. Enhance the reliability and scalability of distributed systems running across a hybrid estate. Configure and secure infrastructure across major cloud providers (GCP, AWS, Azure). Contribute to platform observability, monitoring, performance tuning and optimisation. Work with SUSE’s technology stack including Leap Micro , Uyuni , and SaltStack . Collaborate … management tools (Terraform, Ansible, Helm, etc.). Experience managing and securing infrastructure on at least one major public cloud – ideally across GCP, AWS and Azure . Confident working with distributed systems and scalable architectures. Good grasp of Linux systems engineering and networking fundamentals. Desirable Skills: Exposure to KubeVirt highly ...

through to implementation and handover. Support the identification and shaping of future AI opportunities once the first use cases have demonstrated value. Desirable skills: Azure AI Foundry and Azure Machine Learning. MLOps practices and tools such as MLflow. Containerisation and orchestration using Docker and Kubernetes. Experience developing copilots ...

spanning service management, observability, developer tooling, automation and platform engineering. Relevant experience could include: ServiceNow/ITSM/ITOM/CMDB Observability and monitoring Azure DevOps GitHub CI/CD Terraform/Bicep Infrastructure as Code Developer platforms Platform Engineering Automation frameworks Candidates should have worked within large enterprise ...

cloud computing, etc. Key Skills/Experience: Experience in operating as part of data engineering teams and independently. Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask ...

well-documented code Key Requirements Strong commercial experience with Python and SQL. Solid experience working on data science or AI projects. Experience with AWS, Azure or GCP Experience with ML and modern LLM/RAG systems. Strong communication skills and ability to collaborate with international teams Experience delivering data ...

valued. Proven experience in DevOps, SRE, or Platform Engineering roles Strong hands‐on experience running Kubernetes in production Experience with AWS and/or Azure cloud platforms Solid experience with Terraform and IaC automation Experience participating in or managing production incidents and on‐call Strong grasp of monitoring, alerting … confidence communicating in English is important for this role. Day-to-day responsibilities: Design, build and maintain secure, scalable cloud infrastructure across AWS and Azure Manage and enhance our Kubernetes (EKS) platform to support reliable, modern applications Develop and maintain Infrastructure as Code using Terraform and Helm Improve ...

technical governance forums. Working with DevOps/Engineers to review successful implementation. Working with many different tools on multi-cloud tech stacks (AWS, GCP, Azure). Influencing at scale in a multi-department environment, government experience is a must here. Producing artefacts that support team in implementing architecture (e.g. ...

Experience designing and operating model monitoring frameworks — drift detection, performance tracking, alerting Exposure to GenAI/LLM deployment in enterprise settings Cloud platform experience — Azure preferred Experience working in regulated industries — insurance or financial services strongly preferred Demonstrable experience with responsible AI practices — explainability, bias review, model auditability Experience … Familiarity with MLOps concepts (CI/CD pipelines, model registries, automated testing) — awareness required, not hands‐on ownership Experience with ML lifecycle tooling — MLflow, Azure ML, or equivalent Python proficiency — able to read and review analytical code, contribute where needed Consulting or forward‐deployed engineering background (Palantir, QuantumBlack ...