1,501 to 1,525 of 3,351 Azure Jobs

experience building full-stack production applications. Proficiency in React, TypeScript, and Node.js. Backend experience using Python. Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures. Ability to work in a fast-paced, high-autonomy environment - early-stage startup experience would be awesome. Strong collaboration skills across ...

analysis and validation. Understanding of APIs, system integrations and databases. Experience working on digital transformation or software delivery projects. Exposure to cloud platforms (AWS, Azure, Salesforce) or modern enterprise platforms is beneficial. Experience working within the public sector is advantageous. What You’ll Receive Salary ...

frontend (React, Next.js, Vue) fundamentals ML/data science proficiency: Python, SQL, pandas, scikit-learn, PyTorch/TensorFlow Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Proven ability to build data-secure, privacy-compliant infrastructure Product-minded: you think in outcomes, not just code Startup-ready ...

Work collaboratively with engineers, analysts, and business leaders to deliver impactful projects. Develop and enhance AI/ML tools, including Google Vertex AI and Azure ML. Stay up to date with emerging tools, technologies, and best practices in data science. Youll measure success through model accuracy, quality of insights ...

hardware. Desirable Skills Experience with automation tools such as Pytest, Selenium, or Playwright . Familiarity with integrating automated testing into CI/CD pipelines (Azure DevOps, Jenkins). Understanding of networking concepts, including TCP/UDP and high-speed data streaming. ISTQB Advanced Level (Test Manager) certification or equivalent. ...

modern image optimisation practices. Experience managing artifact repositories and CI/CD integration across multiple programming ecosystems. Experience delivering infrastructure across cloud platforms (AWS, Azure, GCP, or Oracle Cloud) and on-premise environments. Strong understanding of DevOps security practices including SAST, dependency scanning, container security, and supply chain security. ...

Foundry implementations at scale. Technical Breadth: Proficiency in Python, Java, or similar languages, alongside strong knowledge of data architecture, DevOps, and cloud platforms (AWS, Azure, GCP). Leadership Excellence: Demonstrated ability to manage senior engineering teams, set strategic direction, and deliver results across multiple concurrent initiatives. Exceptional Communicator: Able ...

beneficial but is not essential. Proactive, highly organised, and able to manage multiple projects.. Experience working within Agile and DevOps teams. Experience with Azure DevOps for CI/CD and backlog/progress tracking. Excellent communication skills with the ability to liaise directly with stakeholders to gather and refine ...

skills are a must for working closely with internal teams. Experience with Machine Learning, CI/CD and IAC using Terraform for management of Azure/AWS would be beneficial. What you'll get in return The company offers 25 days' holiday plus bank holidays, flexible working hours ...

following areas is beneficial: Virtualisation technologies and concepts Windows Server 2016/2019 administration Cloud platforms such as AWS or Azure Red Hat technologies (e.g., Satellite 6, RHEL/CentOS, CoreOS) Active Directory administration (OU structure, RBAC, DFS) VSAN, SCVMM, Hyper-V Networking fundamentals: TCP/IP, DHCP ...

LookML, dbt, or similar frameworks). Hands-on experience integrating and fine-tuning Large Language Models (LLMs) for conversational analytics. Exposure to cloud ecosystems (Azure, AWS, GCP) and understanding of data governance and ethical AI practices. Deep understanding of marketing analytics & digital analytics Knowledge of customer service metrics such ...

Architecture 10+ years designing large-scale digital transformation solutions - including AI, data platforms, and cloud architectures. AI & Data Expertise in AI/ML platforms (Azure AI, AWS SageMaker, Google Vertex AI), data governance, analytics, and responsible AI practices. Cloud & Integration Strong understanding of hybrid and multi-cloud architectures, APIs ...

outputs, RAG consistency, AI behaviour evaluation). Experience using AI-powered QA tools or test-generation frameworks. Knowledge of cloud environments (AWS/Azure) and containerised applications. Experience with performance and load testing tools (e.g. JMeter, k6, Locust). Understanding of contract testing (e.g., Pact). Familiarity with observability ...

management tool. Needs to have knowledge around Data specific project executions like - Data Warehousing, Data Migrations, Business Intelligence, Analytics, Big Data, Cloud (AWS/Azure) transformations. Key Responsibilities : Own the technical delivery roadmap across data ingestion, ETL/ELT pipelines, data lake/warehouse models, streaming workloads, and analytics ...

agent lifecycle management, orchestration, monitoring, and metering. Cloud-Native Deployment: Architect and manage CI/CD pipelines for public and private cloud environments (AWS, Azure, GCP). Production Readiness: Ensure agentic applications meet enterprise-grade standards for security, reliability, and compliance. Team Leadership: Mentor and manage cross-functional teams ...

hardware and software) medical devices is a plus Experience with Containers, DevOps environments is a plus. Working knowledge of software development tools such as Azure DevOps, Git, etc. is a plus. Strong understanding of Continuous Delivery and Agile development is a plus. Experience working effectively with international teams ...

systems such as MSSQL, Oracle and DB2 Enterprise OS such as Windows Server and Linux Hardware virtualisation and cloud platforms such as AWS and Azure Enterprise system architecture and network design patterns Modern object orientated languages, particularly Java Scripting languages, particularly Python Who are Naviam? Naviam was founded ...

systems such as MSSQL, Oracle and DB2 Enterprise OS such as Windows Server and Linux Hardware virtualisation and cloud platforms such as AWS and Azure Enterprise system architecture and network design patterns Modern object orientated languages, particularly Java Scripting languages, particularly Python Who are Naviam? Naviam was founded ...

production-ready digital asset ecosystems rather than isolated pilots Cloud, Platform Engineering & Confidential Compute Design cloud-native trusted data platforms across major hyperscalers (AWS, Azure, GCP), including network topology, security, and cost optimization Architect solutions for regulated, sovereign, and hybrid cloud environments Apply Confidential Compute and privacy enhancing-enhancing ...

development or data-intensive systems Strong SQL and Python for scalable data transformations and services Experience with at least one major cloud platform (AWS, Azure or GCP) Hands-on experience with semantic or ontology-driven data models, including: Graph databases (e.g. Neptune, Neo4j, Blazegraph, Stardog, TigerGraph, Foundry, Timbr ...

Experience operating in Agile delivery models Demonstrated backlog ownership and prioritisation capability Strong stakeholder management skills Experience balancing operational stability with modernization Preferred Experience Azure, AWS or GCP exposure FinOps principles DR and resilience architecture Platform engineering transformation programs From many places, we work as one, moving from better ...

skills Desirable (Nice to Have) Experience scaling products from MVP to full production with real user load Cloud or serverless deployment experience (AWS, GCP, Azure, or Vercel/similar) Database schema design and query performance optimisation Familiarity with AI/ML tooling or LLM integrations in production systems SaaS ...

evaluating data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior ...

evaluating data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior ...

evaluating data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior ...