651 to 675 of 3,068 Azure Jobs in England

with ITIL processes, including managing incidents, working with third-party support teams, raising and managing change requests, and driving continuous service improvement. Office 365, Azure, Windows Server environments. M365/Microsoft Exchange, Intune, Autopilot, SCCM. Client Operating Systems: Windows 10/11; Server Operating Systems: Windows Server (Apply online ...

based data science platforms and MLOps practices. Data visualisation and storytelling tools. Desirable SkillsExperience within financial services, regulated environments or market infrastructure. Familiarity with Azure AI services and Microsoft AI ecosystem. Experience with observability, SRE or operational analytics use cases. Experience developing AI-powered automation solutions. Knowledge of Responsible ...

Engineer 2 days on site in London £570 a day - Inside IR35 Requires Active SC Clearance expiring after 2030 We're seeking an experienced Azure-focused Lead DevOps Engineer to support secure Defence and Government programmes. You'll lead the design, deployment, and optimisation of cloud platforms, driving automation … reliability, and DevOps best practices within highly secure environments. Key Skills & Experience: Strong Azure cloud engineering and architecture expertise Experience leading DevOps and platform engineering teams Hands-on experience with Azure DevOps , Azure Pipelines , and Azure Deployments Infrastructure as Code using Terraform , Bicep , or ARM templates ...

Data Engineer London - Hybrid £65,000 - £75,000 Azure Data/SQL/Financial Services I'm currently working with a growing data and technology consultancy who are looking to bring a Data Engineer into their expanding delivery team. The business works with a range of organisations across telecommunications … work closely with both technical teams and client stakeholders to understand requirements, design scalable solutions and deliver robust data platforms using modern Azure technologies. The company have offices in London and are looking for someone who is happy to work from the office 2 days per week. Key Responsibilities ...

Lead Databricks Engineer to join our team in London, UK in a hybrid working mode. This role involves designing and leading enterprise-scale Azure and Databricks data platforms to enable advanced analytics and Real Time processing capabilities. You will be responsible for platform architecture, governance, cost optimization and ensuring … high-quality solutions that meet critical business needs in a complex, data-driven environment. Responsibilities Lead architecture design and implementation of scalable solutions on Azure Databricks Define and enforce platform standards, ensuring compliance with data governance and security policies Build and optimize Databricks streaming workloads, including Structured Streaming ...

works, and progress into a team lead position as the team grows. The client is hiring for two seperate roles, one focused on their Azure platform, another focused on their AWS platform. Both roles require hands on experience with IaC, Containerisation and Monitoring/Observability tools. Experience required … Engineer or similar (cloud, infrastructure, DevOps or platform engineering) within a customer facing environment – e.g SaaS or MSP. Strong hands-on experience with either Azure or AWS. Experience with Infrastructure as Code/Terraform, Container orchestration (Kubernetes, EKS or AKS), and monitoring and observability tooling (Prometheus, Grafana, Datadog ...

engineering and cloud-native development. Hands-on experience with Generative AI, LLMs, RAG solutions and AI agent frameworks. Experience with technologies such as OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, LangChain, LangGraph and LlamaIndex. Experience deploying and monitoring AI solutions using MLOps and LLMOps best practices. Knowledge of Azure … alongside CI/CD, Docker, Kubernetes and Infrastructure as Code. Experience with vector databases and search technologies such as Pinecone, Weaviate or Azure AI Search. Strong understanding of AI governance, security, privacy and responsible AI principles. Comfortable working in client-facing environments and communicating effectively with both technical ...

landing zones Defining cloud architecture, governance and security standards Driving Infrastructure as Code adoption Building and maintaining CI/CD pipelines across AWS and Azure environments Acting as the AWS SME Supporting the evolution of a multi-cloud environment YOUR SKILLS AND EXPERIENCE: You will bring strong capability … architecture and engineering Terraform and Infrastructure as Code Cloud networking, security and governance CI/CD pipeline development using GitHub Actions and/or Azure DevOps Python, PowerShell and cloud automation tooling Designing scalable, secure and resilient cloud environments Stakeholder engagement and technical leadership AWS Landing Zones, Organisations ...

services and integrations across a complex enterprise environment. Joining a small, collaborative engineering team, you'll develop Go microservices on a modern, cloud-native Azure platform. Your work will connect enterprise systems, automate processes and deliver practical improvements across the organisation. The role Design, build and maintain backend services … experience, with substantial hands-on Go expertise. Experience designing and consuming REST APIs and working with event-driven architectures. Familiarity with cloud platforms, ideally Azure, alongside Git, CI/CD and GitOps practices. A commitment to clean, well-tested code and experience working within Agile teams. Strong communication skills ...

infrastructure, and analytics. Experience working with data pipelines, ELT workflows, and contemporary cloud data architectures. Experience with current cloud data platforms such as Snowflake, Azure Data Lake, Azure SQL, dbt, Airflow, or similar tools. Ability to understand and work with SQL queries and data models. Knowledge of data … Agile Product Management experience: Features/User Stories, Acceptance Criteria and Agile Delivery. Proficiency with product management tools such as Jira, Trello, TFS/Azure DevOps Server, Monday.com. BA/B.Sc. in Industrial Engineering, Economics, Information Systems, Computer Science/Engineering, Information Technology, or another quantitative field. Familiarity with ...

delivering next-generation AI and data solutions that transform how global organisations operate: Lead the design of AI-enabled data platforms using AWS, Azure, and GCP, building scalable and self-optimising architectures Shape and deliver AI strategy and transformation roadmaps, enabling enterprise-wide adoption of GenAI, copilots, and agentic … architecture Strong consulting background delivering technology and AI transformation programmes Deep understanding of AI, machine learning, GenAI, and cloud data platforms Experience with AWS, Azure, or GCP Strong knowledge of data architecture, DevOps, and automation tooling Experience engaging with senior stakeholders and C-level audiences Proven ability to design ...

business. You will also be responsible for working closely with the data warehouse team, to understand how reports can be re-provided from the Azure data warehouse, documenting the required technical specifications. Main duties of the job Design, develop and continually improve Power BI reports, dashboards and semantic models. … effective management of the Power BI Service. Lead the migration and modernisation of Power BI reporting from legacy data sources to the Azure data platform. Collaborate with Data & Analytics teams and stakeholders to translate complex business requirements into effective analytical solutions. Provide technical and Agile/SCRUM leadership, coordinating ...

requests, changes and problem-solving within SLAs. Hands-on experience with Spark, Data Architecture, SQL and Delta Lake. Cloud development experience (AWS, GCP or Azure). Working knowledge of Medallion Architecture. Demonstrated capability in implementing and supporting pipelines in demanding environments. Strong communication skills and confidence presenting ideas … work effectively in complex, high-pressure environments using both legacy and modern technologies. Strong analytical thinking and attention to detail. Desirable Experience with Fabric, Azure, JIRA, Confluence, CI/CD, GitHub and Git Actions. Certifications in Data Engineering, Cloud, Data Modelling or Data Architecture. Experience with development lifecycle processes ...

based products, ideally at meaningful scale Hands-on experience with at least one major cloud AI platform (AWS Bedrock, GCP Vertex AI or Azure AI Studio) Experience designing eval frameworks, red-teaming processes and quality measurement for AI systems A portfolio or track record that demonstrates deployed or near … Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/CD for AI: version-controlled prompts, automated testing, deployment pipelines EU AI Act compliance, bias auditing and model drift detection ...

Airflow, Metaflow or Prefect)Demonstrated skills with Docker, Kubernetes and distributed deploymentsPractical knowledge of Infrastructure-as-Code (Terraform) and a major cloud provider (AWS, Azure or GCP)Familiarity with ML model serving, scaling and monitoring frameworks in productionStrong communications skills to convey technical decisions and engage with clients effectivelyNice … enterprise architecture experience in large-scale AI programsUnderstanding of FinOps strategies for managing GPU/CPU costs in cloud environmentsCertifications in cloud technologies (AWS, Azure, GCP) or Kubernetes (CKA/CKAD)Expertise in securing and operationalizing ML/LLM/agent-based systems for enterprise readinessWe offerEPAM Employee Stock ...

standards that are binding on all GSK AI initiatives - not only those inside that Cyber Architecture and Solutions - and cloud security governance across the Azure and GCP estate. A 17-role function across the UK, India and the US, spanning AI architecture, AI engineering, AI platform and cloud security … builds and tests before a managed service vendor operates it. The team also governs AI tool security posture, advises on cloud security across the Azure and GCP estate, and is the front door between GSK's business units and R&D and the technical AI function. AI security standards ...

building scalable data pipelines that support machine learning, analytics and data science initiatives. Developing high-performance data solutions using Python, Spark, Databricks and Azure technologies. Creating and maintaining datasets that power customer, marketing, pricing and forecasting use cases. Collaborating closely with Applied Scientists and Machine Learning Engineers to operationalise … grade data pipelines and data products. Experience working with Databricks, Spark and distributed processing technologies. Experience designing and operating large-scale data platforms using Azure, AWS or GCP.Deep understanding of data modelling, data architecture and modern data engineering principles. Experience enabling data science, analytics or machine learning workloads through ...

support retention and archival. \n · Owning the SQL estate end-to-end as the senior practitioner — security model design and rollout (EntraID groups for Azure SQL, Active Directory groups for SQL on VM, role-based access controls, elimination of shared/admin accounts), backup and restore strategy, retention … architecture review — helping the entire delivery team be the best that they can be. \n · Contributing to forward planning for the SQL estate direction — Azure SQL adoption, on-prem retirement, tooling roadmap (e.g. dbt, Redgate), and integration with new business systems (e.g. Workday integration currently in flight). ...

experimentation, and technical excellence Build production ML infrastructure – Develop scalable APIs (FastAPI, etc.) for model deployment, implement MLOps pipelines, leverage cloud platforms (AWS/Azure) to optimize AI infrastructure, and use orchestration tools (Airflow) for complex ML workflows Champion ML governance and operational excellence – Ensure adherence to AI/… strongly preferred) Production ML engineering excellence – Strong understanding of MLOps, containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure including Bedrock, SageMaker, Azure AI Search), workflow orchestration (Airflow), and API development for ML systems Software development fundamentals – Deep understanding of automated testing, source version control, code ...

/data poisoning, sensitive-data exposure via GenAI), and familiarity with OWASP LLM Top 10/MITRE ATLAS. Hands-on cloud incident response across Azure, AWS, and/or GCP, including cloud-native log sources (Azure Activity/Entra ID sign-in logs, AWS CloudTrail) and the reality ...

Java/others a plus)Experience in 3+ of: REST/WebSocketKafka (event-driven messaging)SQL (Oracle/SQL Server)RedisAzure PaaS (Event Hub, Azure SQL, Kubernetes, Azure Cache, etc.)Terraform/HelmGitLab CI (or AWS equivalents)Exposure to one or more of: Business/Technical Analysis ...

APIs, Apache Kafka and Kafka Streams. Strong SQL skills and understanding of data modelling, data analysis and dbt. Cloud experience across AWS, GCP or Azure, ideally including GKE. Knowledge of Docker, Kubernetes, Helm, Jenkins, IAM and API gateways such as Apigee. Experience with Python, Pytest, API automation ...

experience with Python or Spark. Data modelling, aggregation and MI/reporting expertise. Hands-on experience with dashboarding and visualisation tools. Familiarity with Azure, AWS or GCP. Understanding of data governance, privacy and compliance. Desirable: Experience with monitoring, observability or security log data. Knowledge of AI/ML platform ...

designing scalable AI architectures. Proficiency in programming languages such as Python, Java, or similar. Preferred Skills Experience with cloud-based AI services (AWS, Azure, GCP).Familiarity with natural language processing (NLP) and computer vision. Knowledge of AI ethics and responsible AI practices. Strong problem-solving and analytical skills. Qualifications ...

their Head of Analytics in delivering data for successful business solutions. You'll build machine learning, forecasting and identity resolution solutions on Snowflake and Azure DevOps, with models powering web apps, mobile apps and Power BI. Skills & Experience Strong SQL and Python skills. Proficient experience using AI/ ...