10 of 10 Azure Cognitive Services Jobs in the UK excluding London

strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, andtransport. Our teams operate globally from offices across theUK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. Flexible working … designated office 2 days per week. This is an interesting and varied role where you will be responsible for designing, developing, and deploying AI enabled solutions on the Azure and wider Microsoft 365 platform. You will utilise Microsoft low code tools such as Copilot Studio, Teams toolkit and the Power Platform to deliver solutions where appropriate, whilst having … the knowledge to code directly to underlying models when required. The role will allow you to develop your skills in areas such as machine learning, cognitive services, and cloud-based AI operations. The successful candidate will work within a wider development team to create innovative AI enabled solutions where appropriate, applying the latest advancements in AI More ❯

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 ❯

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 ❯

and skills Our ideal candidate would have experience in the following areas: Proven experience leading technical teams and delivering AI and data projects in a cloud environment (preferably Azure). Strong hands-on development skills. Our main application stack is based on .Net and C# Deep understanding of machine learning, data pipelines, and MLOps practices. Experience with Azure services such as Azure Machine Learning, Azure Data Factory, Azure Synapse, and Azure Functions. Implementing modern retrieval techniques such as vector search, semantic search and Retrieval-Augmented Generation (RAG) using tools like Azure Cognitive Search, FAISS, Pinecone, or Weaviate. Familiarity with data governance, privacy More ❯

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 ❯

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 ❯

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 ❯

HealthNet Homecare are specialists in delivering homecare services for patients, from medical deliveries to nursing support for patients in their own homes. Working with over 180,000 patients across numerous different therapy areas, our dedicated team offer support to patients with rare and orphan diseases right through to more common conditions. Our aim is to make patients' lives … improvement. Maintain and update bot-related technical documentation, workflows, and knowledge bases. Provide training and support to internal teams on bot functionalities and troubleshooting best practices. Collaborate with Microsoft Azure teams to leverage new features and updates for the Microsoft Health Bot. What experience and skills are we looking for? This role is perfect for someone with experience … integration, and healthcare technologies who thrives in a fast-paced, mission-driven environment. Experience working in healthcare technology or telehealth platforms. Hands-on experience with Microsoft Health Bot, Azure Bot Framework, or similar chatbot platforms. Strong knowledge of API integrations, webhooks, and data exchange protocols. Experience with Azure services (e.g., Azure Cognitive More ❯

across multiple client engagements. Act as a trusted advisor to C-level stakeholders, providing strategic direction on emerging technologies such as IoT, machine learning, event-driven architectures, and cognitive services. Design scalable, resilient systems using modern cloud platforms (AWS, Azure, or GCP), leveraging IaaS, PaaS, and SaaS solutions. Provide technical assurance and mentorship to agile delivery … building, and deploying enterprise-scale, data-intensive applicationspreferably across distributed systems. Proven ability to lead architecture for cloud-native solutions, using at least one major cloud provider (AWS, Azure, GCP). Experience integrating data using messaging systems, event streams, CDC techniques, or virtualisation approaches. Ability to communicate complex technical concepts to senior, non-technical stakeholders with confidence and More ❯

Architect - Data & AI, you will: • Own the architecture and technical strategy for complex, scalable, data- and AI-intensive platforms • Guide customers on emerging tech: IoT, edge processing, serverless, cognitive services, ML, etc. • Lead technical teams across multiple engagements-designing for outcomes, not just delivery • Work directly with C-level stakeholders to define strategy and design principles … and career development of architects and engineers You'll bring: • Deep technical experience in designing and delivering distributed, modern data/AI platforms • Strong grasp of cloud-native services on AWS, Azure or GCP (IaaS, SaaS, PaaS) • Broad technical fluency across data storage models, messaging, queuing, CDC, virtualisation • A solid understanding of system design that balances More ❯