Azure Cognitive Services Jobs in the North of England

5 of 5 Azure Cognitive Services Jobs in the North of England

Cloud Services Engineer

Manchester, United Kingdom
Hybrid / WFH Options
Lewis Paige
Cloud Services Engineer Manchester Salary up to £65,000 Office-based, with 2 days a week of remote working Our client is a Manchester-based regional Law firm whose mission is to empower businesses with cutting-edge cloud technologies and AI-driven automation to enhance their operational efficiency and drive innovation. Job Overview We are seeking a highly … skilled and motivated Cloud Services Engineer to join our clients dynamic team. The ideal candidate will have extensive experience with Azure Cloud, Azure AI Foundry, and Power Automate. This role is critical in designing, implementing, and maintaining cloud-based solutions for our clients, as well as driving innovation within the organization. Key Responsibilities Design … develop, and deploy scalable and secure cloud solutions using Azure Cloud services Implement and optimize AI-driven solutions leveraging Azure AI Foundry Create and maintain automated workflows using Power Automate to streamline business processes Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions Provide technical leadership and mentorship More ❯
Employment Type: Permanent
Salary: £55000 - £70000/annum
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Senior Azure Cloud Engineer

Leeds, West Yorkshire, Yorkshire, United Kingdom
Hybrid / WFH Options
Netcompany UK Limited
be the leading digital challenger in Europe whilst evolving the next generation of IT consulting. Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to … meet diverse business needs. Job Description Netcompany is seeking a Senior Azure Cloud Engineer to join its Cloud Operations Team and drive forward our support capability to deliver high-performing solutions to our clients. Based in a brand new purpose-built office in Leeds city centre, you will join a forward-thinking organisation that prioritises your personal development. … As a Senior Azure Cloud Engineer, you will be part of a dynamic team responsible for designing, implementing, and managing cloud solutions for our prestigious clients. You will leverage your expertise in Azure and Infrastructure as Code to deliver robust, scalable, and secure cloud environments. This role offers significant opportunities for professional growth and the chance More ❯
Employment Type: Permanent, Work From Home
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Senior Machine Learning Operations Engineer

Manchester, United Kingdom
Hybrid / WFH Options
First Central Services
machine learning models from data ingestion, model development, testing, validation, deployment, to monitoring and retraining of models within different environments. If you've a strong understanding of Microsoft Azure, fluency in data science coding, and expertise in MLOps frameworks, we want to hear from you. Bring your excellent communication, problem-solving, and organizational skills to our team and … flexibility in working patterns and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such … engineering infrastructure to embed scaled machine learning solutions. You'll use CI/CD pipelines, manage the deployment and version management of large numbers of data science models (Azure DevOps). You'll support the implementation of Machine Learning Ops on cloud (Azure & Azure ML. Experience with Databricks is advantageous.) You'll protect against More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Senior Machine Learning Operations Engineer

Manchester, Lancashire, United Kingdom
Hybrid / WFH Options
First Central Services
machine learning models from data ingestion, model development, testing, validation, deployment, to monitoring and retraining of models within different environments. If you've a strong understanding of Microsoft Azure, fluency in data science coding, and expertise in MLOps frameworks, we want to hear from you. Bring your excellent communication, problem-solving, and organizational skills to our team and … flexibility in working patterns and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such … engineering infrastructure to embed scaled machine learning solutions. You'll use CI/CD pipelines, manage the deployment and version management of large numbers of data science models (Azure DevOps). You'll support the implementation of Machine Learning Ops on cloud (Azure & Azure ML. Experience with Databricks is advantageous.) You'll protect against More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Senior AI Engineer

Manchester, Lancashire, United Kingdom
Hybrid / WFH Options
First Central Services
Awards 2024 and our Glassdoor score is pretty mega too! Are you a seasoned AI expert ready to take your skills to the next level? Do words like Azure OpenAI, Cognitive Services, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, vector stores, and API integrations make you light up inside? If so, we want to … and you know how to turn those ideas into working solutions. What's involved: Lead the design and implementation of AI engineering frameworks and standards, emphasising API integrations, Azure infrastructure, and Azure security & networking. Architect and develop AI and Generative AI solutions using services like Azure OpenAI and Azure Cognitive Services Implement prompt engineering techniques and Retrieval-Augmented Generation (RAG) architectures. Ensure scalability, security, auditability, and efficiency of AI solutions through detailed system design and development practices. Deploy and manage AI solutions via CI/CD pipelines in Azure DevOps, emphasising automation, version control, and continuous integration. Develop and maintain automated frameworks for testing More ❯
Employment Type: Permanent
Salary: GBP Annual
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