2,626 to 2,650 of 3,783 Azure Jobs in London

.NET Framework/.NET Core, Angular, and REST API first design and development. Experience working on B2B saas product are ideal Solid understanding of Azure PaaS components. Regular experience with GitHub. QA familiarity and contribution. Comfortable working in an Agile environment Comfortable with customer engagement. Reports to This role ...

experience Essential skills : Strong experience designing architectures for complex software and digital services Demonstrable knowledge of enterprise systems, APIs/integration, cloud platforms (AWS, Azure, GCP), and modern development best-practice Experience developing and reviewing architecture artefacts and applying architecture modelling standards (e.g. C4, ArchiMate, UML) Strong verbal ...

tech stacks is preferred. Hands-on experience building and deploying with AI agents and workflows. Working familiarity with enterprise IT architecture, cloud platforms (AWS, Azure, GCP), and system integration patterns. Consulting & Client SkillsHigh agency; comfortable navigating ambiguity, working across complex organisations, and contributing without a well-defined playbook. Strong ...

software design patterns . Experience designing for resilience and performance at scale (graceful degradation, zero‐downtime deployments, observability, performance budgets). Experience with Azure development and cloud‐based infrastructure , including CI/CD and pipeline observability. Experience owning threat modelling and security hardening for front‐end products; strong grasp ...

processes Skills Ability to execute change delivery methodologies and frameworks (Waterfall and Agile). Experienced in the use of project management tools & software (incl. Azure Dev Ops). Experience of Agile delivery methodologies and associated tools. Experience of project financial analysis and cost management. Ability to apply project analytical ...

another regulated or safety-sensitive domain. Familiarity with FastAPI, Pydantic, MongoDB, Elasticsearch, hybrid or vector search, LangGraph or similar agent frameworks. Experience with Azure or AWS, containers, on-premise deployments, multi-tenant systems, privacy controls or audit logging. Experience with embeddings, fine-tuning, open-source models or applied research ...

tech stacks is preferred. Hands‐on experience building and deploying with AI agents and workflows. Working familiarity with enterprise IT architecture, cloud platforms (AWS, Azure, GCP), and system integration patterns. Consulting & Client Skills High agency; comfortable navigating ambiguity, working across complex organisations, and contributing without a well‐defined playbook. ...

governance stakeholders. Deploy and Scale AI Solutions Drive model deployment activities, including containerization, testing, performance monitoring, and MLOps processes. Help utilise cloud platforms (AWS, Azure, GCP) for scalable data science and generative AI deployments. Work with engineers to support the deployment of machine-learning algorithms that deliver tangible business ...

Thought Leadership in Data & AI - Seen as a credible thought partner to CXOs, with strong understanding of Data, AI, Analytics and tech ecosystems (AWS, Azure, GCP, Databricks, Palantir), enabling articulation of value, limitations, and ROI while influencing strategic decisions and guiding Data & AI‐led transformation EXL Differentiation - Position ...

strategic acumen of a consultant and the competitive drive of a closer. Demonstrated experience selling in or alongside platforms such as Snowflake, Databricks, AWS, Azure, Google Cloud, or similar. Skilled in uncovering strategic business pain points and aligning value-driven solutions that accelerate AI readiness and trust in data. ...

drive Core Web Vitals compliance.2. Developer Engagement & ExecutionActionable Ticketing: Translate complex technical audit findings into clear, digestible, developer-ready specifications and tickets (e.g. Jira, Azure DevOps) that client engineering teams can seamlessly implement. Developer Advocacy: Work directly with client web developers, frontend engineers, and technical architects to communicate requirements ...

backend development using technologies such as React, Node/TypeScript, Python/FastAPI, or similar. Conceptual understanding of cloud platforms such as AWS, Azure, or GCP; hands‐off deployment experience is beneficial but not required. Exposure to generative AI application development, including LLM APIs, agentic workflows, retrieval, vector databases ...

autonomy to own your work in a high trust environmentThe technology stack you'll use will include: Go (Golang) or C++AWS/GCP/Azure/KubernetesKafkaGITCassandraDockerRedisWhat You'll Need: Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems)Understanding scalability and distributed ...

Scale AI Solutions Execute deployment strategies and provide technical guidance on containerization, performance monitoring, and production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible ...

spot commonalities and drive re‐use of models and code across different parts of the organisation Understanding how to build data science capabilities on Azure and Databricks. We are fully committed to having a diverse and inclusive working environment, and are open to considering how the role might ...

flows for Finance. Oracle experience (DB, Fusion SaaS, ORMB or EPM) will be a plus. Experience in Architecture, design and delivery for Cloud (AWS, Azure, Oracle) and on-prem platforms including integrations to key services. Excellent understanding of data and data concepts for capturing and reporting data. Professional experience ...

databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts. Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. Understanding of reverse ETL, real-time decisioning, and operational analytics use cases ...

databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts. Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. Understanding of reverse ETL, real-time decisioning, and operational analytics use cases ...

great if you also had experience in some of these, but if not we'll help you with themMachine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlowDeploying and managing in Cloud Computing such as AWS, MS AzureContainerisation e.g. Docker, KubernetesRelational, document, or graph database systemsSoftware ...

lasting impact on system capabilities Established technical patterns that were adopted across the team Proficiency with at least one major cloud platform (preferably Azure) Experience with containerization (Docker) and orchestration (Kubernetes) Understanding of infrastructure as code and CI/CD pipeline design Knowledge of observability: logging, metrics, tracing ...

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. Curious ...

global scale Experience in operationalizing automation to support process efficiency Experience with SIEM technologies (i.e. Sentinel), cloud-based management and investigation consoles (i.e. Azure), and other Digital Forensics analysis tools Deep understanding of both Windows and Unix/Linux based operating systems, and adaptability to easily and quickly respond ...

PyTorch. Machine Learning Engineers need solid mathematics and statistics knowledge, particularly in linear algebra, calculus, and probability theory. Experience with cloud platforms (AWS, GCP, Azure) is essential for deploying models at scale. Skills in data preprocessing, feature engineering, and model evaluation are critical for building effective systems. Engineers should ...

Information Technology, or a related field.Required & Valued CertificationsRequired: OutSystems Architecture/Expert Developer Certification.Valued: OutSystems Specialist Agentic AI Certification.Plus: TOGAF, Cloud Architect (AWS/Azure), or Agile/Scrum certifications.More about OutSystemsOutSystems is a leading AI Development Platform built for the enterprise. Global organizations trust OutSystems to rapidly build ...

have deep knowledge and proven experience in at least one of the following areas: Cloud platform architecture/migration (AWS and/or Azure) Digital platform architecture and enterprise modernisation You have worked in or with financial services, and you can hold a credible conversation about the sector from ...