101 to 125 of 1,250 Azure Jobs in London

standards, and data models. * Support shift-left observability across CI/CD pipelines. Cloud & Container Observability * Implement Datadog monitoring for cloud platforms (AWS/Azure/GCP) including services, networking, and security signals. * Enable deep observability for containerized and Kubernetes environments (EKS/AKS/GKE, OpenShift). * Optimize ...

enabled code tooling: Cursor, Windsurf, GitHub copilot AI powered platform development: Lovable, Replit, Bolt APIs & Microservices: RESTful APIs, GraphQL, microservice architectures Cloud & DevOps: AWS, Azure, or GCP; Docker; CI/CD pipelines Data Integration: Products integrating ML/AI models, databases, BI tools UI/UX Awareness: Collaborate ...

manage technical governance frameworks and programme‐level architecture. Participate in design reviews, identifying risks, dependencies, and improvement opportunities. Architect cloud‐native systems using Azure, AWS, and Oracle Cloud. Apply Service‐Oriented Architecture (SOA) and Domain‐Driven Design (DDD) principles. Design event‐driven systems using Kafka and Pub/Sub. ...

Model Context Protocol (MCP) and agent communication standards Experience with vector databases, RAG architectures, and semantic search systems Familiarity with cloud platforms (AWS, Azure, GCP) and their AI services Experience in SaaS or enterprise software companies What Makes This Role Exciting Shape the future of AI‐powered business planning ...

Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn).Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery.Proven track record of setting model quality and coding best practices to ensure high ...

Mobile (native and/or cross-platform)Skilled at using modern cloud infrastructure, experienced when it comes to deploying and hosting applications on AWS, Azure or Google Cloud.You actively facilitate and encourage knowledge sharing within your client team, as well as the wider Engineering department.You advocate for best engineering ...

technical objections.Experience using and preferably selling AI and agentic AI solutions (Claude, ChatGPT, Cursor, n8n). Expertise in cloud computing platforms such as AWS, Azure, or GCP and experience with Cloud Data Platforms like Snowflake and Databricks.In-depth understanding of relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL ...

compliance and frameworks, such as NIST, ISO 27001 etc.* Familiarity assessing and benchmarking security controls in common cloud platforms including Office 365, Google Suite, Azure, AWS or Google Cloud* Ability to correlate events from multiple sources to create a timeline analysis across end points of an incident; proficient ...

protocol.Deep understanding of LLMs, prompt engineering, model evaluation, and fine‐tuning strategies.Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP).Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools.Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks.Excellent ...

capability uplift. Solid understanding of cloud concepts, data architecture, and enterprise data management. Strong understanding of cloud operations, platform stacks, and hyperscalers (AWS, Azure, GCP). Knowledge of ITSM, service design, compliance, and cybersecurity principles. Executive communication, influence, and storytelling for technical and business audiences. Advanced critical thinking ...

large-scale cloud migrations and platform modernisation initiatives. Relevant qualifications such as a degree in Computer Science, Engineering, or related field; cloud certifications (e.g., Azure Solutions Architect, AWS Certified Solutions Architect) are highly desirable. Interview process 3 stage interview process - Meet with the Digital Platforms and Services Director, then ...

operate independently. Proficiency in Windows Operating systems, shell commands, and security architecture. Proficiency with industry standard performance monitoring tools. Experience with cloud technologies (Azure and AWS) and system deployments on the Cloud. Experience with office productivity tools such as Word, Excel, PowerPoint, and SharePoint. Strong understanding of relational database ...

Deep understanding of LLMs, prompt engineering, model evaluation, and fine‐tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation ...

technical objectionsExperience using and preferably selling AI and agentic AI solutions (Claude, ChatGPT, Cursor, n8n). Expertise in cloud computing platforms such as AWS, Azure, or GCP and experience with Cloud Data Platforms like Snowflake and DatabricksIn-depth understanding of relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL ...

Thorough knowledge of structured test methods and procedures Continuous Integration & DevOps Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps) Version control with Git (GitHub, GitLab, Bitbucket) Thorough knowledge of Docker, Kubernetes for containerised testing Testing Methodologies & Best Practices Strong understanding of software ...

encryption, cloud security, operating system security, network security, database security.Experience of writing succinct, reader oriented, visually compelling documentationFamiliarity with common Developer Tools (GitLab/Azure DevOps etc) and some experience with using YAML/Markdown/Terraform.Business and sector expertisePreferred prior experience in the financial services and/ ...

synthetic data generation data curation or curriculum learning pipelines Experience training large‐scale models over distributed nodes with cloud tools such as AWS MS Azure or Google Cloud Hands‐on experience with MLOps experiment tracking and model deployment systems Strong interest in staying current with ML research literature ...

Azure Integration Engineer (Azure Integration Services SME) City of London (3 days per week required in the office) DGH Recruitment are currently recruiting on behalf of a leading global client who are looking for an Azure Integration Engineer to join the team on a permanent basis … their London office. The role will act as a technical product owner and Subject matter expert for Azure integrations and as such require someone with strong Azure Integration Services (AIS) experience. Responsibilities: - Serve as a primary subject matter expert (SME) for Azure Integration Services, providing deep knowledge ...

environments are secure, well-supported, and effectively maintained.This role requires strong expertise in Microsoft enterprise suite administration-including Microsoft Defender, Entra ID, Purview, Intune, Azure, and Office 365-as well as third-party tool administration.Key Responsibilities* Oversee and maintain core IT systems, ensuring stability, security, and compliance. * Manage relationships ...

building predictive or advanced analytics solutions Power BI is essential. Tableau experience is fine if you’re happy to transition. Cloud (AWS/Azure) experience is helpful but not required. Team & Environment Small, collaborative data/apps team High ownership and visibility Direct exposure to business stakeholders Opportunity ...

finance system integrations and data warehousing concepts. Experience supporting or developing APIs or data exchange workflows. Familiarity with Power Automate, Power BI, or Azure Data Services. Experience within facilities management, construction, property, or professional services industries. Key Competencies Analytical mindset with strong attention to detail. Collaborative communicator ...

organisations Data architecture concepts (data platforms, integration, metadata management) Experience in regulated environments (financial services preferred) Data modelling (conceptual, logical, physical) Cloud data platforms (Azure, AWS or GCP) AI governance and ethical data practices Relevant certifications (DAMA-DMBOK, Collibra, Microsoft Data, TOGAF) Qualifications IT/Technology-related university degree ...

organisations Data architecture concepts (data platforms, integration, metadata management) Experience in regulated environments (financial services preferred) Data modelling (conceptual, logical, physical) Cloud data platforms (Azure, AWS or GCP) AI governance and ethical data practices Relevant certifications (DAMA-DMBOK, Collibra, Microsoft Data, TOGAF) Qualifications IT/Technology-related university degree ...

data modelling, connectors and APIs. Ability with Power Fx formulas and strong communication and problem-solving skills are essential. Preferred qualities include experience with Azure services or custom connectors, familiarity with JavaScript or other web technologies and Power Platform certifications such as PL-100, PL-200 or PL-400. ...

Background with Demonstrable Achievements Proven ability to excel in time-constrained, algorithmic problem-solving Technical Expertise: Advanced Proficiency in: C# and .NET Framework Microsoft Azure Cloud Platform SQL and SQL Server Complex Data-Driven Software Development Strong Algorithm and Data Structure Knowledge Preferred Background: Experience in FinTech or Similar ...