1,801 to 1,825 of 4,546 Azure Jobs in the UK excluding London

mandatory)** Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude, etc.) into production applications* Familiarity with at least one major cloud provider (**AWS, GCP, or Azure**)This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.**What ...

computers, servers, and network hardware) and associated software Experience in requirements capture/analysis methods, such as Systems Engineering Experience in the development of Azure build and release pipeline Experience of software testing, including automated test of user interfaces In addition, the following role specific skills are preferred: Experience ...

ability to manage ambiguity and prioritize effectively. Passion for innovation, collaboration, and continuous improvement. Desirable Skills: Experience with data platforms such as Snowflake, Azure Data Lake, or similar cloud-based technologies. Understanding of model monitoring, observability, and performance tracking practices. Exposure to AI/ML-enabled products and data ...

Geodatabase including developing Views, Stored Procedures and Functions. Geocortex/VertiGIS HTML/Java Script, ESRI ArcGIS JavaScript API, Angular/React, .Net, Azure DevOps Essential requirements Tertiary qualifications in application development or other relevant field and/or equivalent knowledge and substantial experience in the IT, Spatial ...

support and formal service acceptance Ability to monitor platform performance, reliability and adoption in live operation Strong understanding of security, RBAC and integration with Azure AD and enterprise controls Awareness of cost, performance and scalability trade-offs across compute and storage Familiarity with DevOps practices including CI/ ...

lead capacity Strong experience designing, building and operating scalable data platforms and pipelines in complex environments Experience with cloud-native data platforms across Azure, AWS, GCP or similar enterprise environments Deep understanding of data modelling, data quality, metadata, lineage and governance principles Ability to make pragmatic, risk-aware technical ...

controls that govern themUnderstanding of data-driven decision making and a drive to continue developing technical and cross-functional knowledgePreferred qualifications, capabilities, and skillsKubernetes, Azure, Google Cloud Platform, or Terraform certificationsExperience working in a follow-the-sun or globally distributed on-call support modelFamiliarity with large-scale cloud migration ...

Technical Architect or similar role. In‐depth knowledge of system design, software architecture, and development methodologies. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Expertise in architectural design, data pipelines, cloud platforms, and API development. Knowledge of microservices and containerisation (Docker, Kubernetes). Experience with security best ...

generation (RAG) patterns Exposure to large language model serving, agentic patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAI Experience with Databricks, MongoDB, or large‐scale extract, transform, and load/data integration workflows Knowledge of data governance, lineage, and entitlements concepts ...

relevant domain with understanding of regulatory considerations and responsible AI practices. Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. Experience with MLOps practices including model deployment, monitoring, evaluation, and CI/ ...

relevant domain with understanding of regulatory considerations and responsible AI practices. Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. Experience with MLOps practices including model deployment, monitoring, evaluation, and CI/ ...

them Understanding of data-driven decision making and a drive to continue developing technical and cross-functional knowledge Preferred qualifications, capabilities, and skills Kubernetes, Azure, Google Cloud Platform, or Terraform certifications Experience working in a follow-the-sun or globally distributed on-call support model Familiarity with large-scale ...

mandatory Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude, etc.) into production applications Familiarity with at least one major cloud provider ( AWS, GCP, or Azure ) This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. What ...

writing performant, well-tested production code. Hands-on experience operating containerized services on Kubernetes in at least one major cloud (AWS, GCP, or Azure). Experience with data warehousing or analytics technologies such as Snowflake, Iceberg, Trino, or Postgres. Experience designing, deploying, and operating ML models in production, including ...

programming skills in Python.Experience with data processing frameworks like Apache Spark or Hadoop.Knowledge of database systems (SQL and NoSQL).Familiarity with cloud platforms (AWS, Azure) and their data services.Understanding of data modeling and data architecture principles.Experience with data warehousing concepts and technologies.Experience with message queues and streaming platforms (e.g. ...

software engineering team Run threat modeling and security reviews for new architecture and significant features. Improve cloud security posture across AWS (primary) and Azure, partnering with platform/infra. Lead technical incident response for application‐layer incidents; coordinate with SOC and vCISO on cross‐domain incidents. Build security awareness ...

Proven experience operating as a senior technical lead, reviewer, or technical sign ‐ offauthority. Strong experience building ML solutions on cloud platforms (GCP, AWS, or Azure). Advanced expertise in Python and SQL . Deep applied knowledge of machine learning techniques, including regression, classification, clustering, and time ‐ seriesforecasting. Experience supporting ...

augmented generation (RAG) patternsExposure to large language model serving, agentic patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAIExperience with Databricks, MongoDB, or large-scale extract, transform, and load/data integration workflowsKnowledge of data governance, lineage, and entitlements concepts ...

mandatory)Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude, etc.) into production applicationsFamiliarity with at least one major cloud provider (AWS, GCP, or Azure)This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. What ...

containerization and orchestration technologies, specifically Docker and Kubernetes (K8s), including service meshes and ingress controllers. Advanced experience with major cloud providers (AWS, GCP, or Azure), specifically building and operating highly resilient cloud-native architectures. Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, Splunk, Datadog ...

technical consultancy or solution architecture. Working knowledge of SQL and confidence interrogating data to support your own analysis (desirable). Familiarity with Jira, Azure DevOps or an equivalent backlog tool, and with wireframing or prototyping tools. Excellent written communication. Precise, unambiguous documentation is a core output of this role ...

inside a bank’s own environment and tooling. Current technologies across the portfolio: Java, Python, C#/.NET, SQL and data engineering, AWS and Azure, CI/CD and testing practice, and the current generation of AI and agentic development tooling. What you will be accountable for Technical correctness. ...

pipeline development – Agile and DevOps Coalesce – Data modelling and data marts – CI/CD and test automation SQL – Metadata-driven pipelines – Performance tuning Azure cloud data platforms – Structured and semi‐structured data – Secure development Cloud and on‐premise integration – Batch and near real‐time processing – Troubleshooting ...

Exposure/interest in datastore technology such as MySQL and/or Cassandra. Hands‐on experience with public cloud platforms (we use AWS, but Azure/GCP are fine). Practical background in Infrastructure as Code and Configuration Management (e.g., Terraform, Puppet, Ansible, or similar). Relevant experience with ...

Exposure/interest in datastore technology such as MySQL and/or Cassandra. Hands‐on experience with public cloud platforms (we use AWS, but Azure/GCP are fine). Practical background in Infrastructure as Code and Configuration Management (e.g., Terraform, Puppet, Ansible, or similar). Relevant experience with ...