76 to 100 of 3,160 Azure Jobs in the UK

Power Platform (Power BI, Power Automate). Understanding of integration with CRM or HR modules. Prior consulting experience with global customers. Familiarity with Azure DevOps for backlog and sprint tracking. Knowledge of product lifecycle management tools and governance. Strong presentation and facilitation skills. Experience in change management and user ...

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

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

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

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

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

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

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

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

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

Power BI, QlikView, or Tableau Strong experience in data modelling, data transformation, and ETL development Hands-on programming experience with Python Familiarity with Azure Data Factory and modern data platforms such as Microsoft Fabric and/or Databricks Experience or awareness of Big Data, Data Science, AI, or Machine ...

Senior DevOps Engineer that has strong C# code knowledge combined with strong knowledge of DevOps tools like Kubernetes (EKS or ideally AKS) and Azure or AWS Cloud platform. We are looking for a SRE or DevOps Engineer with a strong understanding of C# code combined with experience of monitoring … Kubernetes and/or Docker. Strong preference for AKS or EKS experience as well. Proficiency with one or more public cloud providers such as Azure, AWS or GCP Proficiency using Infrastructure as Code (IaC) tools such as Terraform (preferred), Ansible, or CloudFormation. Experience with monitoring, observability and logging tools ...

built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Principal SRE – Azure Specialist will drive the design and implementation of automation, observability, and operational excellence within Syniti’s Microsoft Azure-hosted runtime environments. This role will … Cyber Essentials+, SecNumCloud), zero trust architectures. This engineer will lead the technical project to port Syniti’s SaaS architecture and services from AWS to Azure, ensuring platform consistency, operational parity, and regulatory alignment. They will serve as a cross-functional technical leader, developing resilient IaC frameworks, secure deployment models ...

technical discipline. Proven ability to adapt quickly to emerging threats or new information, shifting focus as needed. Demonstrated expertise in Microsoft 365 Defender and Azure Sentinel for detecting, investigating, and responding to suspicious behaviors and anomalous activities. Familiarity with endpoint security solutions and security infrastructure, including EDR, vulnerability management … encryption. Working knowledge of cloud based web and email filtering solutions such as , Zscaler, Mimecast, Proofpoint, or Cisco. Experience with securing cloud environments (AWS, Azure, GCP), including configuration management, identity and access controls, monitoring, and incident response. Familiarity with cloud security tools (e.g., Microsoft Defender for Cloud, AWS Security ...

products, namely Active Directory and Entra ID. Extensive experience working in architecture or information security, with a significant focuson identity and access management. Current Azure certifications (e.g., Azure Security Engineer Associate). Strong knowledge of security and compliance standards and frameworks, such as ISO27001, MS CAF, and WAF. ...

secure access and permissions models in line with organizational and MOD/NCSC policies. Integrate SharePoint with other enterprise systems (e.g. ServiceNow, Power BI, Azure, and legacy systems). Customise the SharePoint user experience through modern UI design, scripting (JavaScript/TypeScript), and web part development. What youll bring … Experience developing withSharePoint Framework (SPFx). Advanced SharePoint automation techniques for the Automation of new SharePoint instances. REST APIs and Microsoft Graph. Knowledge of Azure AD integration, permissions, and authentication models. Understanding of information governance, document management, and metadata design. Experience with Agile and DevOps delivery practices. Ability ...

performance monitoring, system internals, and optimisation techniques Experience working within financial services or other regulated industries Desirable: Kubernetes and Docker orchestration Major cloud platforms (Azure, AWS, GCP) Nutanix HCI and VMware ESX Enterprise databases (SQL Server, Oracle, Sybase ASE, MongoDB, Snowflake) Enterprise monitoring tools (Splunk, Netcool) Package Circa ...

quality work. Ability to manage multiple priorities and work efficiently in a fast-paced environment. Experience with Collaboration & development tools such as Jira, Github, Azure devops or similar for issue tracking, version control and release management. Preferred Skills: Knowledge of SSRS & PowerBI would be beneficial but not essential. Solid ...

training, validation, deployment, and monitoring of models. Support scalable ML solutions across use cases like recommendations, forecasting, and automation. Work with tools like Airflow, Azure ML, and FastAPI to deliver production-ready systems. Automate model deployment workflows using CI/CD tools (e.g. GitHub Actions, Azure DevOps). … with data scientists to productionise research code and models into scalable services. Help implement monitoring, alerting, and model drift detection using tools like NewRelic, Azure Monitor, and custom logging frameworks. Continuously improve and manage infrastructure using Terraform, Docker, and Fargate. Your Profile Essential skills/knowledge/experience: Proven ...

solutions that support the future data strategy of the organisation. You will harness modern technologies including Data Vault, Snowflake, DBT, Airflow and AWS/Azure to shape scalable, future-proof data architectures. In this role, you will be responsible for defining, owning and governing data models across delivery teams … ability to translate business requirements into effective data architecture solutions. Experience working with or supporting cloud migrations. Languages: Python (primary), SQL, Bash Cloud: Azure, AWS Tools: Airflow, DBT, Docker, Fargate, FastAPI Data Platforms: Snowflake, Delta Lake, Redis, Azure Data Lake Infrastructure and Operations: Terraform, GitHub Actions, Azure ...

build and deployment resources so that they can support products more effectively. Key areas of responsibility: 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 … 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 ...

Cloud Security Posture Management (CSPM/CNAPP) platform. This role ensures continuous visibility, governance, and risk reduction across Avivas multi-cloud environments (AWS, Azure, GCP). The administrator will drive operational excellence, support engineering teams, integrate Wiz into enterprise tooling, and maintain policy compliance and posture improvement Key Responsibilities … evidence and compliance modules. Manage exceptions/waivers and ensure they are reviewed and retired on schedule. Core Technical Skills Strong understanding of AWS, Azure, and GCP security controls and architecture. Hands-on experience with cloud IAM, network security, logging/monitoring, and workload security. Familiarity with Kubernetes security ...

develop, and optimise robust, scalable data pipelines and architectures to support business intelligence and analytics initiatives. Manage and maintain cloud-based data platforms (AWS, Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache … technical discussions and problem-solving initiatives. Lead Data Engineer Requirements: Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow). Strong programming skills in Python, SQL, and Java for data engineering tasks. Experience designing reliable ...

Technical Architect Frontier Resourcing are looking for a senior level AI Technical Architect to deliver secure, scalable, cloud-native and AI-enabled systems across Azure, AWS, and hybrid environments. You'll turn complex client needs into production-ready solutions — and take ownership from architecture through deployment and operations. … proofs-of-concept, refining delivery patterns, and advancing AI and cloud capabilities. Skills/Experience: Essential Proven cloud architecture and hands-on delivery experience (Azure, AWS, or GCP) Strong Terraform, CI/CD (GitHub Actions or GitLab), Docker, and Kubernetes skills Experience shipping and operating production systems (“you build ...

technical estate while supporting the delivery of new services. This Senior DevOps Engineer is required to have experience with the following: Cloud Platform (Azure, AWS, or GCP), Kubernetes, IaC using Terraform and CI/CD pipelines. Skills & Experience required from the Senior DevOps Engineer: Active SC Clearance Cloud Platforms … Azure, AWS, or GCP) Strong experience supporting production environments, including on-call support and release management. Hands-on experience with Kubernetes or OpenShift in on-premise environments. Proven background in Linux system administration Experience implementing Infrastructure as Code, ideally using Terraform, integrated with CI/CD pipelines such ...