101 to 125 of 6,199 Azure Jobs in the UK

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability ...

infrastructure testing automation using scripting and pipeline integration. What You'll Bring Solid experience testing infrastructure across Windows/Linux, virtualised platforms, and cloud (Azure/AWS/GCP). Strong understanding of networking fundamentals, load balancing, firewalls, DNS, certificates, and IAM. Hands-on experience with CI/… tooling such as Azure DevOps, GitLab, or Jenkins. Comfort working with logs, metrics, traces, and diagnostic tooling. Scripting skills in PowerShell, Bash, or Python. Desirable: Knowledge of Terraform, Bicep/ARM, Ansible, or container platforms (Docker/Kubernetes). Experience with performance test tooling or chaos/failover frameworks. ...

infrastructure testing automation using scripting and pipeline integration. What You'll Bring Solid experience testing infrastructure across Windows/Linux, virtualised platforms, and cloud (Azure/AWS/GCP). Strong understanding of networking fundamentals, load balancing, firewalls, DNS, certificates, and IAM. Hands-on experience with CI/… tooling such as Azure DevOps, GitLab, or Jenkins. Comfort working with logs, metrics, traces, and diagnostic tooling. Scripting skills in PowerShell, Bash, or Python. Desirable: Knowledge of Terraform, Bicep/ARM, Ansible, or container platforms (Docker/Kubernetes). Experience with performance test tooling or chaos/failover frameworks. ...

team of Data Engineers on various projects Proven experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling … ensuring both consistency and scalability across environments Certifications in relevant technologies and methodologies, such as certified solutions architect or data engineer credentials from Microsoft Azure, GCP, AWS or Databricks. Ability to inspire, lead, and manage a diverse team of data engineers, fostering an environment that promotes professional growth ...

Define and own solution, data, and cloud architecture - Design conceptual, logical, and physical data models - Architect cloud-native and hybrid solutions on AWS and Azure - Establish architecture governance frameworks and best practices - Lead cloud migration and modernization initiatives Cloud & Technology Leadership: - AWS: EC2, S3, RDS, Lambda, EKS, Elastic Beanstalk … Neptune - Azure: Data Factory, Databricks, Synapse, Data Lake, Event Hub, AKS, Power BI - Microservices and APIs using Java/Spring Boot - CI/CD using GitLab, Azure DevOps, Kubernetes, Helm, Terraform - Ensure cloud security, compliance, and resilience Data, Analytics & Governance: - Define enterprise data strategy and governance - Architect data ...

both maintaining our existing systems and developing new products that drive our business forward. You’ll work primarily with .NET technologies, Angular, and Azure cloud services, in a collaborative Agile environment, contributing to innovative solutions across the organization. You will have the opportunity to balance legacy system support with … Work with SQL Server databases and develop API-first solutions using REST and OpenAPI/Swagger Contribute to cloud-based solutions in Azure (App Services, Functions, Event Grid, Logic Apps, Cosmos DB) Implement and maintain CI/CD pipelines using Azure DevOps Write clean, maintainable, and well-documented ...

sidelines here, it drives their growth, their data, and their customer experience. Your Impact Define and execute the engineering strategy across Azure cloud, integration, and legacy modernisation, aligned to the clients long-term digital roadmap. Design and deliver cloud-native solutions that scale efficiently, perform reliably, and integrate seamlessly … across business functions. Lead by example in Azure DevSecOps: create and manage pipelines (YAML), infrastructure-as-code (Bicep, Terraform), and container orchestration (AKS, Docker). Embed engineering best practice: implement CI/CD, code quality gates, automated testing, and observability from build to production. Guide platform evolution: re-engineer ...

unit tests as part of the development process. Contribute to DevOps practices including CI/CD pipelines, containerization (Docker/Kubernetes), and cloud deployment (Azure/AWS). Support production systems and troubleshoot technical issues when needed. Agile Collaboration Participate in Scrum ceremonies and contribute to planning, stand … similar). Solid experience in full-stack development using C#, .NET 8, Python, RESTful APIs, and microservices architecture. Familiarity with cloud platforms (Azure or AWS) and containerization technologies. Experience with databases (SQL Server, AWS RDS, MongoDB or other NoSQL). Knowledge of DevOps tools such as Azure DevOps ...

data systems for performance, reliability, and scalability. Implement data quality processes and maintain data models, schemas, and documentation. Operate CI/CD practices in Azure DevOps and contribute to Agile sprint cycles. Troubleshoot and resolve pipeline issues promptly. Stay current with industry trends and recommend improvements. Ensure adherence … experience, including Unity Catalog. Strong skills in Python, Spark, SQL and experience with SQL databases. Terraform experience for cloud infrastructure as code. Experience with Azure and workflow tools (Airflow, ADF). Excellent problem-solving ability, communication skills, and attention to detail. Experience across Waterfall and Agile methodologies. Curious, inclusive ...

maintainability. Infrastructure & DevOps: Build, deploy, and manage applications using cloud platforms such as AWS and Azure. Use modern DevOps tools and practices-including GitHub, Azure DevOps, Docker, Kubernetes, and Linux-based systems-to deliver scalable, reliable services. Implement and maintain CI/CD pipelines with a strong focus …/or .NET. Proficiency in SQL and experience with Oracle PL/SQL or similar technologies. Hands-on experience with cloud platforms (AWS, Azure), containerisation, DevOps tooling, and CI/CD automation. Familiarity with TDD, automated testing frameworks, and modern monitoring/observability tools. A commitment to open, transparent ...

maintainability. Infrastructure & DevOps: Build, deploy, and manage applications using cloud platforms such as AWS and Azure. Use modern DevOps tools and practices-including GitHub, Azure DevOps, Docker, Kubernetes, and Linux-based systems-to deliver scalable, reliable services. Implement and maintain CI/CD pipelines with a strong focus …/or .NET. Proficiency in SQL and experience with Oracle PL/SQL or similar technologies. Hands-on experience with cloud platforms (AWS, Azure), containerisation, DevOps tooling, and CI/CD automation. Familiarity with TDD, automated testing frameworks, and modern monitoring/observability tools. A commitment to open, transparent ...

machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow and AWS services. Apply data modelling concepts (e.g., medallion architecture) and ensure data quality and governance. Collaborate with DevOps teams … automate CI/CD and MLOps processes using Azure DevOps, Kubernetes, and Terraform. Visualize and communicate insights using Power BI, Tableau, and PowerApps. Mentor junior engineers and contribute to internal knowledge sharing. Ensure solutions meet security, compliance, and performance standards. ...

. Production experience with JavaScript/Typescript/React (functional components, hooks, routing). Practical knowledge of CI/CD tooling and pipelines (e.g., Azure DevOps, GitHub Actions, Jenkins, GitLab CI). Experience working in a cloud hybrid environment (Azure/AWS/GCP + on-prem). ...

. Production experience with JavaScript/Typescript/React (functional components, hooks, routing). Practical knowledge of CI/CD tooling and pipelines (e.g., Azure DevOps, GitHub Actions, Jenkins, GitLab CI). Experience working in a cloud hybrid environment (Azure/AWS/GCP + on-prem). ...

migration and architecture We’re looking for candidates with skills in one or more of the following areas: Cloud Architecture & Engineering Cloud platforms: AWS, Azure, Google Cloud Platform, or OCI Container technologies (Docker, Rocket) and orchestration (Kubernetes, OpenShift, Rancher, Swarm) Infrastructure as Code (Terraform, CloudFormation … stand-ups Architecting and delivering cloud platforms Understanding and advising on emerging cloud technologies and challenges Maintaining strong relationships with cloud vendors (AWS, Azure, GCP) Technical Authoring Translating architectural information into clear, technical documentation for engineering and development teams Publishing and maintaining network documentation using tools like ...

leverage the skills and experience of a wider set of practitioners. Key Skills Expertise in at least one major cloud platform e.g. AWS, Azure, GCP . Knowledge of modern, cloud native, tech stacks. Proficiency with Infrastructure as Code tools, particularly Terraform. Experience with CI/CD tools e.g. Jenkins … GitHub Actions, Azure DevOps. Capability in at least one programming language e.g. Python, Go, JavaScript. Understanding of networking concepts, security principles, and distributed systems. Experience with container orchestration platforms (Kubernetes, ECS). Strong problem-solving skills and systematic debugging approach. Comfortability with agile ways of working. Good communication ...

leverage the skills and experience of a wider set of practitioners. Key Skills Expertise in at least one major cloud platform e.g. AWS, Azure, GCP . Knowledge of modern, cloud native, tech stacks. Proficiency with Infrastructure as Code tools, particularly Terraform. Experience with CI/CD tools e.g. Jenkins … GitHub Actions, Azure DevOps. Capability in at least one programming language e.g. Python, Go, JavaScript. Understanding of networking concepts, security principles, and distributed systems. Experience with container orchestration platforms (Kubernetes, ECS). Strong problem-solving skills and systematic debugging approach. Comfortability with agile ways of working. Good communication ...