101 to 125 of 6,271 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 ...

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 ...

language (Python, JavaScript, etc.).• Hands-on experience with Microsoft Power Platform (Power Automate, Power Apps, Power BI).• Strong understanding of Microsoft 365, Azure AD, and cloud infrastructure.• Experience in solution design, deployment, and lifecycle management.• Familiarity with DevOps practices and tools is a plus.• Excellent problem-solving ...

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. ...

Platform Developer, PL-600: Power Platform Solution Architect. Proven experience with Microsoft Power Automate Desktop and DevOps. Solid understanding of Microsoft 365, Dataverse, and Azure Services Understanding of application lifecycle management (ALM) in Power Platform Knowledge of JSON, Power Fx, JavaScript, HTML and SQL. Qualification or high level ...

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 ...