1,676 to 1,700 of 3,803 Azure Jobs in London

above or are eligible and willing to go through clearance You have experience working with security controls within cloud-based infrastructure (e.g Azure, AWS, GCP). This may include design, configuration, or protective monitoring. Knowledge of digital identity and authentication systems Experience applying data classification, handling requirements, data residency ...

modern service architectures Hands-on experience with Infrastructure as Code, particularly Terraform Experience designing and building distributed, asynchronous microservices using message brokers (e.g., Azure Service Bus, pub/sub). Knowledge of the insurance domain Core Values Love what you do: We show up each day ready to take ...

progress, risks, and technical questions clearly and promptly. Pursue ongoing learning in cloud, data, IoT, and AI technologies. Preferred Qualifications Experience with OCI, AWS, Azure, Google Cloud, or another cloud platform. Experience with Kubernetes, Docker, microservices, distributed data systems, or event-driven architectures. Exposure to generative ...

version control, CI/CD, and the APIs 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 ...

analysis and resilience planning. Experience designing human‐in‐the‐loop decision tools (explainability, constraints override, auditability, and traceable recommendations). Cloud platform experience (Azure/AWS/GCP) and building secure, scalable services. Experience with event‐driven architectures, streaming, and near‐real‐time optimisation. Experience with data science/ ...

expertise with Helm Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version controlYou have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualizationYou excel in fast-paced environments and can execute while priorities and objectives are a moving targetIt's a bonus ...

Experience: Agentic Systems: Experience designing and orchestrating autonomous agentic workflows (e.g., LangGraph) and managing agent state/memory. Cloud: Experience working with cloud infrastructure (Azure, AWS, or GCP). Agile Delivery: Experience working in an Agile development environment. Data Engineering: Proficiency in SQL and relational databases (e.g., PostgreSQL, DuckDB ...

experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Understanding of API development and integration. Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) is a plus. Interest in RPA (Robotic Process Automation), data analytics, or low-code/no-code tools a bonus. Soft Skills ...

cycles to plan and stay on top of output. Our target stack relies heavily on Python, containerisation, infrastructure as code, CI/CDand the Azure cloud. We work across the full spectrum of data sourcing and ETL to front‐end delivery. Projects areas include the front office and internal ...

pipelines using tools such as Jenkins or GitLab CI Performance optimisation (bundle size, lazy loading, rendering performance) Cloud platforms and static hosting (AWS, Azure or GCP) Observability tooling including logging, metrics and frontend monitoring Package management with npm, yarn or pnpm What Success Looks Like You’ll demonstrate: Technical ...

processes, and analytics engineering best practices. Exceptional programming skills, particularly in Python, Scala, or Java, and deep expertise with cloud platforms (AWS, GCP, or Azure). Extensive experience working with privacy-sensitive datasets and implementing robust data observability and governance frameworks. A strong technical background with a track record ...

SaaS company. Light scripting or coding ability (e.g. Python) and comfort working with API tools such as Postman. Relevant cloud or security certifications (AWS, Azure, or equivalent). Why This Role AI agents are changing how enterprises operate — and the question of how to govern them safely is becoming ...

systems. Subject matter expert of Security technologies, with demonstrable experience of developing and implementing them. Good understanding of Cloud Infrastructure platforms (e.g. AWS, GCP, Azure). Strong written and verbal communication skills, ability to communicate effectively with all levels of audience including executive leadership. Powerful analytical and problem‐solving ...

architectural 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 ...

experience with web libraries such as FastAPI, Flask, or DjangoHands-on experience with containerization (Docker), CI/CD pipelines, and cloud environments (we use Azure)Experience making architecture decisions and troubleshooting complex production systems for reliability, scalability, and performanceAbility to operate independently, take end-to-end ownership, and provide ...

enterprise-scale SAP landscapes. Significant experience designing, operating and modernising SAP workloads across public cloud, private cloud and on-premise environments, including AWS, Azure, SAP RISE and hybrid architectures. Demonstrable experience delivering major SAP transformation initiatives involving SAP S/4HANA, BTP, SAP cloud services, Business AI, Joule ...

team Ability to be on‐call and/or work during off‐hours Preferred Cloud or SRE‐related certifications Working knowledge of Azure Work Flexibility This role is eligible for hybrid work, with up to three days per week from home. Commitment to Diversity, Equity, and Inclusion ...

systems, or similar experience with other relevant SQL datastores. Operational experience deploying and managing Kubernetes Experience working with Cloud Providers (AWS/GCP/Azure) We value a variety of experiences, so these are not required. It would be an added bonus if you have experience ...

production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit-learn, PyTorch, XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). Software Engineering: Production-grade Python services (FastAPI, AWS Lambda, event-driven patterns) and front-end development with React/Next.js ...

delivery: prompt engineering, tool and function calling, RAG, and at least one production Agentic AI system. Cloud AI platform : deep experience with one of Azure, OpenAI, AWS Bedrock, Claude; Kubernetes and cloud-native deployment. LLMOps & evaluation : CI/CD for AI, automated evals, experiment tracking, observability, model lifecycle management. ...

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 ...

series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval-Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure componentsAdditional Preferred Qualifications: Experience with enterprise observability and AIOps platforms such as ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic ...

discovery.* Hands-on experience with Service Mesh architectures and sidecar patterns.* Cloud Mastery: Expert-level knowledge of at least one major cloud provider (AWS, Azure, or GCP), with a focus on their managed Kubernetes and Serverless offerings.* Automation & Code: Proficiency in Terraform, Helm, and YAML. Ability to read/ ...

have Kubernetes, CUDA, TensorRT, ONNX, Jetson, or other edge accelerators. Experience with MLOps, model monitoring, CI/CD, or observability. Familiarity with AWS, Azure, GCP, serverless systems, or managed inference platforms. Experience integrating OpenAI or Anthropic APIs into customer tools. Open‐source contributions or experience supporting developer communities. Knowledge ...

tests Experience building shared or platform-style ML systems Experience with Databricks and PySpark Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work ...