1,701 to 1,725 of 9,470 Azure Jobs

and generate insights using Databricks analytical tools and features Practical knowledge of common data engineering and BI/data visualisation integrations such as dbt, Azure Data Factory, PowerBI and Sigma Experience using native functionality to deploy and interact with Large Language Models Ability to develop, test and deploy machine More ❯

such as Lit, Angular, and/or React) • Experience with application containerization (e.g. Docker, Kubernetes, Helm, Rancher, etc.) in a cloud environment (AWS/Azure/Openstack/Openshift) • Experience with CI/CD - Deployment pipelines, automated build, and configuration tools • Experience working in an Agile development environment, using More ❯

CD - Deployment pipelines, automated build, and configuration tools • Proficiency in application containerization (e.g. Docker, Kubernetes, Helm, Rancher, etc.) in a cloud environment (AWS/Azure/Openstack/Openshift) • Experience with standard change management and build/packaging tools (e.g., Git, Maven, Gradle, Yarn) Security Clearance Statement: This position More ❯

Digital Service Standard and Technology Code of Practice Proven experience delivering a complex software solution hosted on one of the leading cloud platforms (AWS, Azure, GCP), with working knowledge of other cloud platforms Demonstrable expertise in software engineering practitioner skills (i.e. a programming language, frameworks, cloud technologies) evidenced by More ❯

Strong programming skills in JavaScript, or Python/other AI-related languages. Strong SQL and data analytics skills. Familiarity with cloud platforms (AWS and Azure) for AI deployment. Knowledge of MLOps principles for scaling AI models. Understanding of knowledge graphs, semantic search, and vector databases. AI Ethics and Responsible More ❯

e2e tests, using frameworks like Jest & Cypress. Containerization and Orchestration: Experience with Docker and Kubernetes. Cloud Services Familiarity: Knowledge of cloud platforms like AWS, Azure, or GCP. Preferred Applied AI: Previous experience leading or being involved in AI-based feature development is highly appreciated. No-code tools: Prior experience More ❯

with DS teams, and providing Model API support to Quantexa's platform teams. Model Deployment & Infrastructure Build and manage scalable cloud-based infrastructure (GCP, Azure) for deploying machine learning models in production. Implement CI/CD pipelines for ML/NLP model deployments. Experience with Kubernetes and Docker for More ❯

d3.js to communicate findings and relate them back to how your insights create business impact. Experience with cloud-based ETL solutions (e.g., AWS Glue, Azure Data Factory). Knowledge of Big Data technologies (e.g., Hadoop, Spark). Certification in relevant ETL or data integration technologies. Bachelors Degree in data More ❯

Digital Service Standard and Technology Code of Practice. Proven experience delivering a complex software solution hosted on one of the leading cloud platforms (AWS, Azure, GCP), with working knowledge of other cloud platforms. Demonstrable expertise in software engineering practitioner skills (i.e. a programming language, frameworks, cloud technologies) evidenced by More ❯

Analysis, Third Party Code Provenance, Third Party Dependencies, Software Vulnerabilities, Container Health Assessment and Dynamic Code Analysis Experience with On-Prem and Cloud (AWS, Azure, Google Cloud, etc.) computing environments Familiarity and experience managing cybersecurity teams in a DoD/USAF operational environment Familiarity with log aggregation and SIEM More ❯

Analysis, Third Party Code Provenance, Third Party Dependencies, Software Vulnerabilities, Container Health Assessment and Dynamic Code Analysis Experience with On-Prem and Cloud (AWS, Azure, Google Cloud, etc.) computing environments Familiarity and experience managing cybersecurity teams in a DoD/USAF operational environment Familiarity with log aggregation and SIEM More ❯

Experience working in a regulated environment and knowledge of the risk and compliance requirements associated with this. • Oracle Database. • MongoDB. • Cloud Data Technologies (Mainly Azure - SQL Database, Data Lake, HD Insight, Data Factory etc.). • A collaborative team player, approachable, self-efficient and influences a positive work environment. • Demonstrates More ❯

systems operating in non-standard networking conditions Familiarity with modern build and deployment tooling (e.g. NixOS, Terraform) Familiarity with industry standard cloud platforms (AWS, Azure) and software infrastructure fundamentals (networking, security, distributed systems) A deep, demonstrated understanding of how computers and networks work, from a single desktop to a More ❯

Experience working in a regulated environment and knowledge of the risk and compliance requirements associated with this. • Oracle Database • MongoDB • Cloud Data Technologies (Mainly Azure - SQL Database, Data Lake, HD Insight, Data Factory etc.) • A collaborative team player, approachable, self-efficient and influences a positive work environment • Demonstrates curiosity More ❯

Digital Service Standard and Technology Code of Practice. Proven experience delivering a complex software solution hosted on one of the leading cloud platforms (AWS, Azure, GCP), with working knowledge of other cloud platforms. Demonstrable expertise in software engineering practitioner skills (i.e. a programming language, frameworks, cloud technologies) evidenced by More ❯

to open-source software repositories Familiarity with containerization technologies (e.g. , Docker, Kubernetes, Rancher, etc.) Familiarity deploying machine learning models on cloud platforms (e.g., AWS, Azure) Experience implementing real-time reinforcement learning algorithms in large scale environments Participation in extracurricular activities related to data science (e.g., Kaggle competitions) Active security More ❯

OpenID Connect. Understanding of concepts like "least privilege access," continuous authentication, and device security posture. Experience with securing workloads in multi-cloud environments (AWS, Azure, GCP) and hybrid setups. Knowledge of endpoint protection solutions and secure software development practices. Work with IT, DevOps, and cybersecurity teams to design and More ❯

information in non-technical terminology (written and verbal). Strong knowledge of Operating Systems - Windows, Solaris or Linux; or strong knowledge of cloud platforms: Azure, Amazon or Google Strong understanding of advanced programming concepts, data structure and algorithms. Programming Languages/Platforms: Mastered 2-3 languages/frameworks. Understand More ❯

information in non-technical terminology (written and verbal). Strong knowledge of Operating Systems - Windows, Solaris or Linux; or strong knowledge of cloud platforms: Azure, Amazon or Google Strong understanding of advanced programming concepts, data structure and algorithms. Programming Languages/Platforms: Mastered 2-3 languages/frameworks. Understand More ❯

consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework More ❯

consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework More ❯

consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework More ❯

cloud infrastructure running centos/rocky linux on a mix of bare-metal, virtualization, and containerization. Managed public cloud environments such as aws, gcp, azure and their federation into on-premise environments. Life-cycle management of baremetal servers such as Dell and Supermicro in globally distributed data centers (e.g. More ❯

Cloud Architect - Azure £80-£90k + benefits + Flexible hybrid working options. A Cloud Architect opportunity for an experienced Architect to lead architectural design and technical direction of a pivotal Azure hosted SaaS product. This role will steer architecture decision making and associated processes so extensive knowledge of … Azure is essential; Azure Services, AKS, Azure Service bus, Azure SQL, etc. You will work closely with experienced tech team members in a SaaS product led environment following modern engineering processes The company encourage hybrid working with 1 day per week in their offices, which are … Required skills and experience: 5 years+ commercial experience in a Cloud architect or Solution Architect capacity Demonstrate architecting large scale SaaS solutions hosted in Azure Ability to steering tech team members within an Microsoft stack environment Experience of Kubernetes, Azure Kubernetes Service/AKS Enterprise architecture experience is More ❯

a Data Engineer able to create data pipelines, efficient storage structures, powerful materialized views in different analytical technologies. Qualifications 3 years' experience SQL server Azure Databricks/Azure Data Factory/Azure Functions/Azure Stream/log Analytics/Azure DevOps Python Language: English More ❯