26 to 50 of 1,195 Azure Jobs in London

and development of Business Data Models for different solutions; Broad understanding of software development lifecycle, development management, release management, data migrations, cut-over planning and hypercare support; Knowledge of Azure DevOps & CI/CD is a plus; Knowledge and understanding of .NET framework including extensive experience writing ASP.NET and C# code (not just limited to plugins/custom workflows More ❯

of Business Data Models for different solutions; Broad understanding of software development lifecycle, development management, release management, data migrations, cut-over planning and hyper care support; Strong knowledge of Azure DevOps & CI/CD pipelines; Knowledge and understanding of .NET framework including extensive experience writing ASP.NET and C# code (not just limited to plugins/custom workflows) is a More ❯

optimizing the teams workflow. Key Skills Required Technical Skills: Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle, SQL Server), and familiarity with cloud databases (e.g., AWS RDS, Azure SQL). Data Modeling: Ability to design normalized, relational, and sometimes non-relational databases. Security Protocols: Knowledge of database encryption, access controls, and other security best practices. Performance Optimization More ❯

applications with React, TypeScript, and frameworks like Next.js or Vite. Integrate LLMs (e.g., OpenAI, Anthropic, Mistral) and vector databases (e.g., ChromaDB, Pinecone, PGVector). Deploy solutions using AWS or Azure, Docker, Kubernetes, and Terraform. Implement CI/CD pipelines and monitor LLM performance using tools like Langsmith or Langfuse. Collaborate in agile teams and mentor junior engineers. What You More ❯

applications with React, TypeScript, and frameworks like Next.js or Vite. Integrate LLMs (e.g., OpenAI, Anthropic, Mistral) and vector databases (e.g., ChromaDB, Pinecone, PGVector). Deploy solutions using AWS or Azure, Docker, Kubernetes, and Terraform. Implement CI/CD pipelines and monitor LLM performance using tools like Langsmith or Langfuse. Collaborate in agile teams and mentor junior engineers. What You More ❯

native environments, focusing on high availability, scalability, and multi-tenant architecture. Partner with DevOps and Platform teams to integrate CI/CD pipelines, cloud deployments (AWS/GCP/Azure), and monitoring tools. Embrace 12-Factor App principles and design UIs that work with distributed backend systems. 3. Leadership & Collaboration Lead and mentor a team of frontend engineers across More ❯

and is a strict hiring requirement. Demonstrated ability to troubleshoot and resolve complex issues across varied environments, independently and effectively Experience with cloud-native technologies: Kubernetes, Docker, Linux, AWS, Azure, GCP, CI/CD, Terraform, Ansible, Serverless, and container registries In-depth understanding of public cloud platforms and deployment best practices Strong knowledge of network protocols (TCP/IP More ❯

Workflow/Orchestration Tools: Familiarity with workflow/orchestration tools (e.g., Airflow, Dagster, Prefect). Cloud-based Data Services: Exposure to cloud-based data services (GCP preferred; AWS/Azure also considered). Data Lineage & Metadata Management: Understanding of best practices. Data Governance & Compliance: Awareness of data governance and compliance principles (GDPR, ISO27001). SaaS/API-driven Environments More ❯

at least one other scripting language (Python, JavaScript, etc.). • Hands-on experience with Microsoft Power Platform (Power Automate, Power Apps, Power BI). • Strong understanding of Microsoft 365, Azure AD, and cloud infrastructure. • Experience in solution design, deployment, and lifecycle management. • Familiarity with DevOps practices and tools is a plus. • Excellent problem-solving skills, proactive attitude, and the More ❯

at least one other scripting language (Python, JavaScript, etc.).• Hands-on experience with Microsoft Power Platform (Power Automate, Power Apps, Power BI).• Strong understanding of Microsoft 365, Azure AD, and cloud infrastructure.• Experience in solution design, deployment, and lifecycle management.• Familiarity with DevOps practices and tools is a plus.• Excellent problem-solving skills, proactive attitude, and the More ❯

Significant experience developing Python scripts/systems Experience working directly with software engineering best practices: source control, unit testing, code reviews, design documentation, excellent debugging, troubleshooting skills. Experience with Azure (ideally), AWS or GCP, Docker, Kubernetes, and Helm. Experience of operationally managing software components once live, including; observability, logging, metrics, error reporting, debugging and live incident management. Experience with More ❯

spatial data analysis Exceptional problem-solving abilities and adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and More ❯

spatial data analysis Exceptional problem-solving abilities and adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and More ❯

banking. Familiarity with DevOps, CI/CD, and automation tools. Strong communication skills and ability to work with technical and non-technical teams. Nice to have: Cloud computing experience (Azure, AWS, or GCP). Knowledge of AQR Reporting (ECB). Exposure to Agile delivery environments. Understanding of enterprise architecture standards. Apply now or email Barry.Ansell@HarringtonStarr.com for a faster More ❯

MLflow, Kubeflow). Proficiency in Python and at least one backend language (e.g., Java, Scala, Go, C++). Strong understanding of cloud ML infrastructure (AWS SageMaker, GCP Vertex AI, Azure ML) and containerized deployments (Kubernetes, Docker). Hands-on experience with data and model pipelines (feature stores, registries, distributed training, inference scaling). Knowledge of observability and monitoring stacks More ❯

industry conferences. Familiarity with vector databases (FAISS, Pinecone, Milvus, Weaviate) and LLM application frameworks. Cloud or AI/ML certifications (e.g., AWS Machine Learning Specialty, Google Professional Data Engineer, Azure AI Engineer) are a plus. Benefits Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services. Drive AI transformation for some of the More ❯

a plus. Experience with TypeScript. Familiarity with GraphQL or other modern data-fetching technologies. Experience in integrating message brokers (e.g., RabbitMQ, Kafka). Familiarity with cloud platforms like AWS, Azure, or Google Cloud. Knowledge of microservices architecture and related tools. Experience with testing frameworks like Mocha, Chai, or Jest. Familiarity with front-end technologies like React, Vue, or Angular More ❯

Azure Architect - Active SC, Azure, Security Up to £650 pd (Inside IR35 - UMB) Primarily Remote/London 3 months My client is a high profile consultancy who urgently require a Technical Azure Architect, with Active Security Clearance (SC), to help provide expert guidance on a critical project for an end client Key Requirements: Proven experience as an … Azure Architect Active Security Clearance (SC) Extensive experience in Azure architecture and design Strong knowledge of Microsoft best practices for Azure Landing Zones Hands-on experience with IaaS, governance, and subscription management Excellent customer-facing skills and ability to engage with stakeholders Nice to have: Industry experience within Government organisations Immediate availability Knowledge of security and compliance … standards in Azure If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as More ❯

Python skills and solid grounding in algorithms and software engineering* Experience designing ML/AI solutions and working with common architecture patterns* Background in serverless data/ML pipelines (Azure preferred, AWS/GCP welcome)* Proficiency in SQL and NoSQL data stores* Broad understanding of machine learning methods (regression, tree-based models, clustering, deep learning, attention models, transformers, vector … representations)* Ability to explain technical concepts clearly to a range of stakeholders* Confidence estimating development effort and costs Nice to have * CI/CD experience (Azure DevOps, GitHub Actions, Jenkins)* Exposure to ML Ops tooling (Azure ML, AI Foundry, SageMaker or Vertex AI)* Infrastructure-as-Code (Bicep, ARM, Terraform)* Previous work building Gen AI-powered products or automation … Tech environment you'll be joining Python, C#Azure Data Factory, Logic AppsSQL, Cosmos DBAzure Functions, Azure BatchAzure DevOps (CI/CD, Bicep)Azure AI services including Azure ML, Azure OpenAI, Speech-to-Text and document intelligenceCopilot Studio, D365, M365 Copilot If you'd like the full details or want to discuss suitability, feel free to get More ❯

End Microsoft Developer Strong Academic 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 Structured Data Environments Demonstrated Ability More ❯

creation and ROI analysis. Exposure to Power Platform (Power BI, Power Automate). Understanding of integration with CRM or HR modules. Prior consulting experience with global customers. Familiarity with Azure DevOps for backlog and sprint tracking. Knowledge of product lifecycle management tools and governance. Strong presentation and facilitation skills. Experience in change management and user adoption planning. MBA or More ❯

End Microsoft Developer Strong Academic 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 Structured Data Environments Demonstrated Ability More ❯

Ability to prioritize tasks and work effectively under guidance. Nice to Have Experience in an IT support or helpdesk environment (internship experience also considered). Understanding of Active Directory, Azure AD, or Intune. Basic scripting or automation knowledge (PowerShell, Bash, Python). Experience with ticketing systems (e.g., Jira, Zendesk, Freshservice). Awareness of security and operational best practices and More ❯

Learning) Architectures, data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions. • A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's • Fundamental knowledge More ❯

Technical Skills : + Strong proficiency in Python + Experience with at least one of: React/TypeScript, Swift/iOS, Kotlin/Android, Ruby + Cloud platforms experience (AWS, Azure, GCP) + Containerized deployment using Docker and Kubernetes Architecture : Experience designing scalable distributed systems and microservices AI/ML : Understanding of modern frameworks (TensorFlow, PyTorch) and production model deployment More ❯