101 to 125 of 2,972 Azure Jobs in London

performance testing tools like JMeter, Gatling, K6 or Neoload Hands‐on experience with CI/CD pipelines and tools (e.g., Jenkins, CircleCI, GitLab CI, Azure DevOps) Excellent communication and stakeholder management skills Bonus Points for: Previous experience in a consultancy environment Hands‐on coding experience in additional languages like ...

teams in a regulated environment. Desirable - Professional-level cloud certification, vendor cloud security certification and professional cyber security certification from either AWS, CGP or Azure Next steps Next steps This client will only accept workers operating via an Umbrella or PAYE engagement model. If you are interested in applying ...

Willing to work a hybrid model* Must be fluent in English both verbal and written* undefined **Additional Technical Skills*** **Cloud Platforms:** *(e.g. AWS, GCP, Azure)** **CI/CD Tooling:** *(e.g. GitHub Actions, ArgoCD, Harness)** **Monitoring & Observability:** *(e.g. Prometheus, Grafana, Coralogix, OpenTelemetry)** **Infrastructure as Code:** *(e.g. Terraform, Pulumi)** **Config Management ...

initiatives across multiple sectors. Technical Expertise Proficiency with big data technologies: Apache Spark, Kafka, Confluent, Databricks, Unity Catalog. Strong knowledge of cloud ecosystems (AWS, Azure, GCP) and infrastructure-as-code (Terraform, CloudFormation). Hands-on expertise with data lake/lakehouse architectures and modern streaming solutions. Experience with ...

including unit and integration testing Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure) Experience with large-scale distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake ...

including unit and integration testing Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure) Experience with large-scale distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake ...

awareness of when to use different tools. Scripting & Automation: Skills in a scripting language like Python, Ansible, Bash, Groovy, Powershell, or similar. DESIRABLE SKILLS: Azure or Google Cloud Experience: Ability to compare and contrast cloud offerings, especially in a migration scenario. AWS Professional Certification: If you dont already have ...

awareness of when to use different tools. Scripting & Automation: Skills in a scripting language like Python, Ansible, Bash, Groovy, Powershell, or similar. DESIRABLE SKILLS: Azure or Google Cloud Experience: Ability to compare and contrast cloud offerings, especially in a migration scenario. AWS Professional Certification: If you don't already ...

containerisation supports the development, testing and deployment of reliable applications across different environments. Knowledge of cloud platforms and data services, such as Azure, Google Cloud Platform or AWS. Knowledge of CI/CD practices and how automated build, test and deployment pipelines support reliable software delivery. Awareness ...

paced environment. Continuous learning mindset, with a willingness to stay updated on new technologies and industry trends. Qualifications Certification in relevant cloud technologies (AWS, Azure, GCP) at an expert/professional level is highly desirable, e.g.: AWS Cloud Practitioner AWS Cloud Solutions Architect Associate Certification in Kubernetes or Terraform ...

data. Familiarity with STIX/TAXII, threat intelligence enrichment pipelines, or TIP administration and automation. Familiarity with cloud services and securing cloud environments (AWS, Azure, GCP). Exposure to AI use cases within cyber threat intelligence, such as intelligence collection, analysis acceleration, or reporting efficiency. Experience collaborating with external ...

architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep ...

advocacy for, Agentic AI/Context Engineering Desirable: Engineering : Java, Vue, Angular, .Net Core Tools/Technologies/Infra : Docker, Kubernetes, Kafka, Azure, GCP, NoSQL, DNS Design : Serverless, cloud-native/PaaS, event driven, pub/sub, real-time/websockets, architectural design records (ADRs) SDLC : Agentic AI/ ...

Agentic AI solutions, helping automate complex business processes and establish scalable AI capabilities across an enterprise environment. You'll work across AI engineering, Azure AI, solution integration, observability and Responsible AI. Key Skills: Strong experience delivering enterprise AI solutions using LLMs, Generative AI and Agentic AI Hands-on experience … with RAG, tool calling, orchestration and memory patterns Strong Azure AI experience, including Azure OpenAI, Azure AI Search, Azure AI Foundry and Azure Machine Learning Experience implementing AI monitoring, observability, telemetry and operational metrics Strong Python development and REST API integration experience Knowledge of vector ...

engineering role, ideally within a regulated environment Knowledge of the following is required: Modern Data platform concepts; Data Lake, Lakehouse, Data Warehouse, Data Vault Azure Data Technologies; Azure Data Lake Storage, Azure Data Factory, Azure Databricks, MS Fabric ETL/ELT processes and designing, building … testing data pipelines Building data transformations using Python/PySpark Azure Cloud Version control and CI/CD tools, specifically Azure DevOps Service Analytics and MI products including MS Power BI Data catalogue & governance using MS Purview Knowledge of the following would be desirable: Microsoft server-based data ...

life and bulk annuities sector. Package Details Remote (UK) | £45,000-£60,000 + 6% bonus Main Duties and Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning … Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment outcomes. Machine Learning Operations (MLOps in Azure) Manage the full ML life cycle using Azure ML Studio, including deployment, monitoring, retraining pipelines, and version control. Implement robust MLOps practices such ...

mentoring high-performing data teams. Strong understanding of modern data architecture, engineering, analytics and reporting. Experience working with cloud-based data platforms such as Azure, AWS or GCP . Strong technical knowledge of SQL and Python . Experience with modern data technologies and tooling such as Microsoft Fabric, Power ...

accreditation approaches is highly desirable. Experience supporting compliance initiatives involving standards and regulatory frameworks. Key Skills: Advanced knowledge of cloud security across Microsoft Azure, AWS, Google Cloud Platform (GCP), and Microsoft 365. Expertise in Zero Trust security principles and secure-by-design methodologies. Strong understanding of identity and access ...

accreditation approaches is highly desirable. Experience supporting compliance initiatives involving standards and regulatory frameworks. Key Skills: Advanced knowledge of cloud security across Microsoft Azure, AWS, Google Cloud Platform (GCP), and Microsoft 365. Expertise in Zero Trust security principles and secure-by-design methodologies. Strong understanding of identity and access ...

accreditation approaches is highly desirable. Experience supporting compliance initiatives involving standards and regulatory frameworks. Key Skills: Advanced knowledge of cloud security across Microsoft Azure, AWS, Google Cloud Platform (GCP), and Microsoft 365. Expertise in Zero Trust security principles and secure-by-design methodologies. Strong understanding of identity and access ...

data, e.g. automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Extensive hands‐on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also ...

technologies. Experience with compute, virtualization, and container environments including Cisco UCS, HyperFlex, VMware, Microsoft, and Kubernetes. Technical familiarity with multi-cloud environments across AWS, Azure, and Google Cloud from a network integration perspective. A current active UK Government Security Clearance, or willingness to be put forward for one, would ...

distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ...

distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ...

experience identifying and implementing AI, automation, or digital transformation initiatives in an operational environment.* Familiarity with Agile/Scrum delivery methodologies and tools (JIRA, Azure DevOps, Confluence).**Qualifications & Competencies*** Bachelor's degree in Business, Supply Chain, Information Systems, Data Science, or a related discipline.* Strategic Thinking & Innovation — Sees ...