226 to 250 of 386 Azure Jobs in the West Midlands

legal workflows (no legal background required) Bonus experience: • NLP on long-form or structured documents • LangChain/LangGraph, LlamaIndex, Hugging Face • Cloud (AWS/Azure), MLOps, vector databases • Experience in fast-paced AI environments or start ...

architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure ...

architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure ...

architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure ...

based services to meet organisational needs. IT Infrastructure Expertise: Skilled in deploying, configuring, and operating IT infrastructure, including cloud systems and networking (O365/Azure) Operations Management: Experience supporting IT operations to ensure successful delivery of infrastructure and workplace services. Familiarity with delivery methodologies (e.g., Agile, Waterfall, Lean ...

Skills & Experience Strong understanding of release and change management processes. Excellent organisational and communication skills. Ability to manage multiple priorities under pressure. Familiarity with Azure DevOps and managing DevOps teams. Experience coordinating cross-functional teams and external suppliers. Strong focus on governance and compliance. Reasonable Adjustments: Respect and equality ...

following; • Playwright • JavaScript/TypeScript • Postman/REST Client/Axios • Cucumber • Accessibility testing experience manually and using tool such as Axe • Azure DevOps pipeline – CI/CD • GitHub Actions/GitHub commands • YAML Scripting - Defining Pipelines • PowerShell Script - Deployment Tasks • Azure Key Vault Key Responsibilities: • Design, develop … Collaborate with developers, product managers, and other stakeholders to understand requirements and ensure test coverage • Integrate automated tests into CI/CD pipelines using Azure DevOps and GitHub Actions • Develop and maintain YAML scripts for defining pipelines and PowerShell scripts for deployment tasks • Ensure accessibility compliance through automation using ...

Microsoft Cloud platforms are central to our business strategy, and this role will require you to architect and deploy solutions within Microsoft 365 and Azure click apply for full job details ...

Engineer Python, Machine Learning, NLP, Azure An AI Engineer is required by Whitehall Resources for a permanent position with our UK-based client. This role offers hybrid working, with the flexibility to be based from offices in either Birmingham or Manchester three days a week. As an AI Engineer ...

with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research, prototype, and deploy LLM use cases ...

with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research, prototype, and deploy LLM use cases ...

with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research, prototype, and deploy LLM use cases ...

with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research, prototype, and deploy LLM use cases ...

This role requires strong technical delivery experience, excellent stakeholder management, and the ability to drive projects in a structured waterfall approach. Key Responsibilities: Implement Azure API Management (APIM) to migrate from Legacy point-to-point API integrations to a hub-and-spoke model, reducing contention in application test environments ...

firewalls, VPNs, and monitoring tools Coordinating and participating in vulnerability testing, security assessments, and remediation activity Implementing and managing cloud and on-premises infrastructure (Azure or AWS, virtualisation, identity, and access management) Operating and testing backup schedules, disaster recovery procedures, and restoration processes Monitoring systems and resolving issues proactively ...

Storage technologies (IBM, Block Storage, File Storage etc) An appreciation of Monitoring Technologies (SolarWinds, AppDynamics, Datadog etc) An appreciation of Cloud technologies (AWS/Azure) and associated features An understanding of Linux command line technologies Knowledge of AWS server administration and features Some experience of working within an Agile ...

Palo Alto firewalls Cisco ISE, Prime, DCNM, APIC-EM toolsets Experience in MPLS Solarwinds enterprise monitoring ITIL Desirable experience needed will be: AWS/Azure Cisco ACI networking SD Wan experience F5 BigIP load balancing devices F5 WAF administration Full time - 35hrs About ...

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 ...

developing and maintaining automated processes that underpin key technologies that are supported by the Identity & Access Management Team; Identity Lifecyle Windows PowerShell Active Directory Azure Active Directory \ Entra ID DNS Group Policy Azure Administration DHCP Microsoft Certification Authority PKI End User operating System security policy SQL Microsoft Defender … MBAM Azure DevOps The Lead Specialist Engineer will also have experience of administering as many of the above as possible. Daily operational duties will include: Incident and Request management via ITSM suite. Management and Monitoring of existing IAM automation services, predominately focusing on Microsoft PowerShell and Graph API. Development ...

Data Engineer Ms Dynamics 365, Azure Data Factory, SQL, SSIS We have an exciting new permanent opportunity for a dynamic Data Engineer to join a fantastic & growing team at the best timing possible as the business has just embarked on a data transformation journey. This role will give ...

where improvements can be made, build the initial version of internal tools and automation to collect and visualise cloud cost and usage data across Azure and AWS. What You'll Do as Senior FinOps Engineer: Be the SME in the FinOps department, understanding fundamentals and building internal tooling from ...

where improvements can be made, build the initial version of internal tools and automation to collect and visualise cloud cost and usage data across Azure and AWS. What You'll Do as Senior FinOps Engineer: Be the SME in the FinOps department, understanding fundamentals and building internal tooling from ...