726 to 750 of 2,857 Azure Jobs in England

Proficiency with Git/GitHub and working in agile teams. Beneficial Experience with performance and load testing for high-traffic applications. Practical knowledge of Azure DevOps pipelines and containerization (Docker). Experience writing and maintaining E2E tests using Playwright. ...

backend services and AI pipelines Generative AI tools such as OpenAI APIs, LLM agents and prompt engineering frameworks Cloud platforms including AWS, GCP or Azure for scalable deployments CI/CD pipelines, containerisation (such as Docker) and real-time APIs You may have experience with: Production-level LLM applications ...

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 ...

backend services and AI pipelines Generative AI tools such as OpenAI APIs, LLM agents and prompt engineering frameworks Cloud platforms including AWS, GCP or Azure for scalable deployments CI/CD pipelines, containerisation (such as Docker) and real-time APIs You may have experience with: Production-level LLM applications ...

backend services and AI pipelines Generative AI tools such as OpenAI APIs, LLM agents and prompt engineering frameworks Cloud platforms including AWS, GCP or Azure for scalable deployments CI/CD pipelines, containerisation (such as Docker) and real-time APIs You may have experience with: Production-level LLM applications ...

Partner with sales and account teams to strengthen competitive positioning 3. Architecture & Solution Design Design scalable AI-enabled automation architectures integrating: Hyperscaler AI services (Azure AI, AWS, GCP, OpenAI, Anthropic) Enterprise platforms (SAP, Oracle, ServiceNow, CRM systems) Data platforms and middleware Define: Agent-based automation models RAG architectures Process ...

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 ...

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 ...

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 ...

corporate IT infrastructure , ideally across: International corporate networks End-user compute within corporate environments Data centre infrastructure (server, storage, virtualisation) Public cloud platforms (Azure, AWS, GCP) Big data, visualisation and analytics Leadership experience in project and programme delivery Experience as a client lead or consulting lead under senior sponsorship ...

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 ...

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 ...

functional teams Preferred qualifications • Experience building voice AI or conversational AI systems • Experience with patient-facing systems • Familiarity with cloud infrastructure (GCP, AWS, or Azure) • Exposure to evaluation and safety tooling for LLM-based systems (guardrails, human-in-the-loop review) About the Venture We are an early-stage ...

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 ...

embed GenAI safely and effectively across multiple use cases. Key Responsibilities 1. Environment & Architecture Set-Up Design, configure and manage secure GenAI development environments (Azure, AWS, GCP, or hybrid). Design and implement agent orchestration architectures using frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or custom event-driven ...

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 ...

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 ...

Working knowledge of databases, testing, automation, and CI/CD in agile teams Experience developing on Linux/macOS, using containers, and cloud platforms (Azure/AWS) Familiarity with scalable, secure, and distributed systems, including messaging and APIs A curious, problem-solving mindset with the confidence to tackle complex ...

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 ...