951 to 975 of 2,792 Azure Jobs in the UK

influence senior stakeholders. It would be great if you have: Experience working with frameworks such as NIST. Exposure to cloud and container security (AWS, Azure, GCP, Kubernetes). Experience operating in air-gapped or highly restricted environments. Background in Defence or highly classified programmes. Employment Type: Permanent Location: Office ...

management platforms Customer portals Smart lockers, RFID, Bluetooth or IoT-enabled systems EDI or third-party integrations Agile/Scrum delivery environments Jira, Confluence, Azure DevOps, Figma, Balsamiq, Miro or similar tools Full domain training will be provided, so direct industry experience is not essential. The Person The successful ...

Load balancing and reverse proxy configuration (HAProxy) Message queue administration (RabbitMQ) Cloudflare CDN, WAF, and DNS management, including domain registrations Cloud engineering (e.g. GCP, Azure, AWS) DevOps & CI/CD: CI/CD pipeline development and maintenance Application deployment and release management Developer tooling administration (GitLab, Packagist, NPM, Dependabot ...

infrastructure engineering in enterprise environments. Proven expertise in observability, monitoring, and system performance management at scale. Hands-on experience with cloud platforms (AWS, Azure) and modern infrastructure (e.g., containers, Kubernetes, CI/CD pipelines). Experience with MLOps/LLMOps or supporting AI/ML systems in production environments. ...

preferred/strong advantage). Solid understanding of data governance, quality, lineage, and security in regulated environments. Experience with modern cloud data platforms (AWS, Azure, or similar) and associated tooling. Strong stakeholder collaboration skills, with the ability to translate business needs into scalable data solutions. Next steps Computershare ...

skills Desirable Skills Network automation (eg Ansible, Python) Software-defined networking (eg Cisco ACI, SD-WAN, VMware NSX, Nuage) Exposure to cloud platforms (AWS, Azure) Expected behaviors We have a structured performance management framework which measures continual attainment against key personal behaviours. We believe this is an important part ...

ability to engage in technical discussions with confidence Experience leading multiple engineering teams, not just a single squad Strong understanding of cloud platforms (Azure preferred, AWS/GCP also considered ) Experience working with modern architecture (microservices, event-driven systems) The ability to influence stakeholders across engineering, productand senior leadership ...

with globally dispersed resources. Communicate effectively at an executive level, tailoring messages to individual customers by adding contextual relevance. Cloud technical certifications in AWS, Azure and/or GCP. Preferred qualifications, capabilities, and skills Experience in a business to business (B2B), software as a service (SaaS), or technology environment ...

developer, and open source technologies Experience with GTM at early-stage, high-growth, VC-backed startups Familiarity with Git providers, e.g. GitHub, Bitbucket, GitLab, Azure DevOps Experience with major cloud providers and cloud-native technologies Familiarity with observability, RCA, and debugging practices Our Values Collaborative Humans: Prioritizing collective intelligence ...

Science/ML Skills Hands‐on industry ML experience in at least one of the following: ML Engineer: Develop production‐grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. Data Scientist: Experience with the latest techniques in natural language processing ...

logging, tracing) and tools (e.g., Prometheus, OpenTelemetry, Grafana, ELK Stack). Familiarity with cloud-native technologies (Kubernetes, Docker, Microservices) and major cloud platforms (AWS, Azure, GCP). Strong verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. Preferred ...

with a deep understanding of their application in complex technical or scientific problem spaces. Deep technical fluency with cloud‐native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale advanced AI/ML applications. Preferred Qualifications & Skills Master ...

ability to work effectively in teams Proficiency in Go, Python, C++, or other statically typed languages Experience/knowledge with public clouds (AWS, Azure or GCP) What Gives You an Edge: Experience with Golang is advantageous Experience using Apache Kafka is a big plus Ready to build what ...

scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). Industry knowledge: Experience in gaming or digital entertainment is a strong plus. Why Product Madness As part of the Aristocrat family, we share their ...

this you? · 3 years experience working within a Data Analyst role. · Experience using SQL database management systems, Google Analytics, Advanced Excel, Power BI and Azure is essential for this role. · Strong IT Skills including Word, Excel, PowerPoint, and Outlook. · Assertive, self-starter and pro-active. · Able to manage multiple ...

designing, implementing, and scaling AI‐driven solutions within technology consulting or digital services organizations. Strong understanding of AI/ML frameworks, cloud AI platforms (Azure, AWS, GCP), data pipelines, and MLOps practices. Demonstrated ability to advise C‐level clients on AI strategy, organizational readiness, and transformation. Experience driving ...

flows Knowledge of clinical systems and database structures Desirable Experience working with mental health NHS mandatory datasets (e.g. MHSDS) Experience using source control tools (Azure DevOps, GitHub) Training and qualifications Essential Degree in computer related subject or equivalent professional qualification or experience Desirable Certificate in database administration/data ...

roadmaps for investment pitches. Are we the perfect match? Architectural Mastery: You have a proven track record of designing modern, cloud-native applications (AWS, Azure, or GCP) and a deep understanding of microservices and API-first designs. Strong analytical and problem-solving skills: You can untangle complex technical requirements ...

right tech for the right task, you can expect to work with the following technologies to ensure scalable, high‐performance applications: Cloud & Platforms: AWS, Azure, Google Cloud Platform, IBM, Oracle, Salesforce Architecture & Delivery: Microservices, packaged solutions, cloud/on‐premise models, agile delivery, digital transformation Tools & Frameworks: IoT, cloud ...

data modelling techniques and data warehousing methodologies (e.g., Kimball, Inmon, Data Vault).* Hands-on experience with cloud data platforms and services (e.g., AWS, Azure, GCP). Familiarity with cloud-native data architectures and technologies.* Experience with data management tools and processes.* Experience with AI and Machine Learning, including ...

/4.8 frameworks, C# .NET Core and SQL Server. Confident writing and optimising SQL queries, scripts and stored procedures. Practical experience with Octopus Deploy, Azure Pipelines and RESTful APIs. Solid understanding of clean code practices, Agile delivery and thorough code review. Able to troubleshoot production issues and improve ...

.NET technologies. Experience designing, developing and supporting REST APIs and web services. Experience working with cloud-based technologies and modern development tools (e.g. Azure, Docker, Event Bus technologies and related services). Experience designing and developing resilient, scalable and production-ready applications and services. Strong SQL knowledge with experience ...

experience with GPU resource management and ML framework infrastructure (beyond API consumption of foundation models) Experience interacting with cloud platform services, such as AWS, Azure or GCP across their multiple offerings Familiarity with AI‐specific cloud platform services, such as TogetherAI, ScaleAI, Databricks or AWS SageMaker, at least from ...

LLMs and agent systems, evaluation frameworks, backend and API design (Python or TypeScript), data systems (PostgreSQL, DynamoDB, MongoDB, or similar), and cloud infrastructure (AWS, Azure, or GCP) including Kubernetes, Docker, and IaC tooling. Experience deploying AI into complex enterprise environments , including navigating security reviews, identity/SSO, data residency ...

Thought Leadership in Data & AI - Seen as a credible thought partner to CXOs, with strong understanding of Data, AI, Analytics and tech ecosystems (AWS, Azure, GCP, Databricks, Palantir), enabling articulation of value, limitations, and ROI while influencing strategic decisions and guiding Data & AI-led transformation EXL Differentiation - Position ...