1 to 25 of 417 Azure Jobs in Central London

Azure DevOps Engineer | London | Hybrid 3 days | Permanent | Investment management client Role Overview: Manage and support Azure cloud platform operations with a focus on Infrastructure as Code, network operations, and identity management whilst ensuring platform reliability, security, and performance across Azure environments. Key Characteristics: Azure Platform … Operations - Extensive hands-on experience managing and supporting Azure environments including Virtual Machines, Azure Storage (Blob, Files, Disks), Azure SQL Database, App Services, Azure Functions, and container services (ACI, AKS). Proficient in Azure Monitor, Log Analytics, Application Insights, cost management and optimisation, resource tagging ...

tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting Applications for the role of Senior Principal Consultant – Azure AI Engineer/Lead In this role, we are seeking a highly skilled and passionate Azure AI Engineer/Lead to join … dynamic Cora Sequence team. In this role, you will be instrumental in designing, developing, deploying, and managing AI/ML solutions on the Microsoft Azure platform. You will work closely with data scientists, researchers, and product managers to translate complex analytical models into production-ready, scalable applications. Your expertise ...

Microsoft AI Engineer/Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for a AI Engineer/Azure Artificial Intelligence Engineer to join a thriving STEM business as they are growing their AI Engineer/Azure Artificial Intelligence centre of excellence Role details Title … containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals/Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance to be considered, please ...

package and flexible working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. … Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure Data Factory and Azure DevOps Experience working in fast-paced Agile environments Creativity and curiosity for solving complex problems. ...

Title: Azure Databricks Data Engineer Primary skills: Advanced SQL, Azure Databricks, Azure Data Factory, Azure Datalake. Secondary skills: Azure SQL, PySpark, Azure Synapse. Experience: 10+ Years of Experience Hybrid - 3 Days/Week onsite is MUST About the job We are looking … experienced Databricks Data Engineer to design, develop, and manage data pipelines using Azure services such as Databricks, Data Factory, and Datalake. The role involves building scalable ETL solutions, collaborating with cross-functional teams, and processing large volumes of data. You will work closely with business and technical teams ...

location. Role : Senior DotNet Developer/Lead Location: London, UK(3 Days/week onsite) Desired Industry Experience: 7+ years Relevant Experience: .Net Core, Azure functions, Azure Functions, Microservice Architecture. Job Description: Proven experience as a .NET Core Developer with expertise in Microsoft Azure. Proficiency in C# … .NET Core for server-side development. Excellent Coding skills and best practices Strong experience of Azure services, including but not limited to Azure App Service, Azure Functions, Azure SQL Database, and Azure DevOps. Experience with containerization technologies (e.g., Docker) and orchestration (e.g., Kubernetes ...

seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible … data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation : Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming ...

Azure DevOps Engineer | Azure, Terraform, CI/CD | Bank-Grade Cloud Platform Build £600–£650 p/d (Outside IR35) 5-month initial contract (extensions likely) Hybrid: London (2 days/week on-site) Option for the role to be made Perm if preferred The Role Join … newly formed Cloud Platform Engineering team building a greenfield Azure platform for a regulated banking venture. You’ll join as a senior individual contributor, taking ownership of the most complex, high-risk platform engineering work across a large Azure estate in a regulated financial services environment. This ...

applications and programs Design and develop testing and maintenance procedures and activities Develop and write high-quality coding standards Considerable and proven experience in Azure Cloud Services, e.g. Azure Functions, Azure SQL, and Azure App Service Experience with Azure Blazer is a plus Experience ...

Your Role We are looking for strong Azure Solution Architects who are passionate and focused on data solutions and Microsoft technology and who ideally have skills in many of the following areas: Partners with other solution architects to assess solution alignment to the overall architectural blueprint – and drive proposal … technical liaison between Sales team, Clients, Delivery & support teams up to and including Contract negotiations Have experience of designing architecture for data focused Microsoft Azure projects, Cooperate with sales team to formulate/execute a sales strategy to exceed revenue objectives Working on Microsoft Azure PaaS and IaaS ...

leadership, and mentoring skills. Nice-to-have Familiarity with Next.js , Micro Frontends , and Server-Side Rendering (SSR) . Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code tools such as Terraform. Background in data visualization or AI-driven UX design . Contributions to open-source projects ...

.NET Developer, .NET 10.0, C# 14 - Global Internet Icon - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS Living Standard, Programmer, Full Stack Engineer, Architect, .NET Developer) Our client … take place since the birth of the World Wide Web. .NET Developer applicants should have a skill set that encompasses: .NET, .NET Core, C#, Azure SQL. Full training will be provided into: .NET 10.0, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire ...

with SQL. ML Expertise: Solid understanding of supervised/unsupervised learning, deep learning, and model evaluation techniques. Cloud & MLOps: Experience with AWS, GCP, or Azure; Docker/Kubernetes; MLflow or similar tools. Data Handling: Familiarity with big data frameworks (Spark, Hadoop) and data versioning tools (DVC). Soft Skills ...

Overview of DNS, DHCP, TCP/IP and tracing/troubleshooting Network related issues Some knowledge of VM Ware and Cloud Technologies - AWS/Azure beneficial Highly Desirable Skills: Strong Network Engineering - installing, configuring and administering Routers/Switches - Cisco Firewall Administration - Cisco ASA Scripting - PowerShell or Python Core ...

Understand Software Engineering techniques and processes. Strong interpersonal, communication, and presentation skills applicable to a wide audience. Experience with PyTorch, Scikit-learn, Go, JavaScript, Azure Pipelines, and Databricks is desirable, but not essential. Experience of participation in software engineering efforts for AI-enabled SaaS products is desirable ...

Understand Software Engineering techniques and processes. Strong interpersonal, communication, and presentation skills applicable to a wide audience. Experience with PyTorch, Scikit-learn, Go, JavaScript, Azure Pipelines, and Databricks is desirable, but not essential. Experience of participation in software engineering efforts for AI-enabled SaaS products is desirable ...

practices. Knowledge of DevOps practices for data engineering including CI/CD, version control, and environment management. Relevant Microsoft certifications such as Fabric or Azure Data Engineer. Work in a way that works for you: We promote a healthy work/life balance across the organisation. We offer ...

successful Financial Modelling Manager should have: Advanced Microsoft Excel (including complex formulas, macros, and data analysis). Programming & Data Tools: VBA, SQL, SSIS, Azure Data Factory (ADF), Python, .NET, Java. Business Intelligence Tools: Power BI or similar for reporting and visualization. Version Control & Automation: CI/CD pipelines ...

Technical requirements Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps tooling (MLflow, Kubeflow or similar) Docker, Kubernetes, CI/CD pipelines Cloud platforms (AWS, Azure or GCP); Terraform experience preferred Financial services experience highly desirable A hands-on role with real impact, autonomy, and senior stakeholder exposure. ...

Friday. About you: You have strong C# .Net Core backend development experience You have a good knowledge of microservices and Cloud (AWS or Azure) experience, ideally, you'll have some experience with Docker/Kubernetes, EKS You have a good understanding of CQRS and event driven architectures Ideally ...

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like ...

modern javascript framework (we use React) Experience working with databases (SQL and NoSQL), APIs, and web technologies. Experience with cloud platforms (AWS, GCP, Azure) Solid understanding of software engineering principles, including clean code, testing, and version control (git). Strong problem-solving skills and the ability to break down ...

generation (RAG) pipelines. Experience integrating ML models via APIs and embedding AI in enterprise systems. Deep knowledge of cloud platforms (AWS/GCP/Azure) and containerized deployments (Docker, Kubernetes). Familiarity with ML pipelines, model registries, CI/CD, Git-based version control, and production monitoring. Soft Skills ...

modern cloud-based data technologies. Role Overview As a Data Platform Engineer, you will design, build, and maintain scalable cloud-based data infrastructure using Azure and Databricks. You’ll play a key role in ensuring that data pipelines, architecture, and analytics environments are reliable, performant, and secure. Key Responsibilities … Platform Development & Maintenance Design and implement data pipelines using Azure Data Factory, Databricks, and related Azure services. Build ETL/ELT processes to transform raw data into structured, analytics-ready formats. Optimise pipeline performance and ensure high availability of data services. Infrastructure & Architecture Architect and deploy scalable data ...

modern cloud-based data technologies. Role Overview As a Data Platform Engineer, you will design, build, and maintain scalable cloud-based data infrastructure using Azure and Databricks . Youll play a key role in ensuring that data pipelines, architecture, and analytics environments are reliable, performant, and secure. Key Responsibilities … Platform Development & Maintenance Design and implement data pipelines using Azure Data Factory , Databricks , and related Azure services. Build ETL/ELT processes to transform raw data into structured, analytics-ready formats. Optimise pipeline performance and ensure high availability of data services. Infrastructure & Architecture Architect and deploy scalable data ...