10 of 10 Permanent Azure Machine Learning Jobs in the North of England

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 … Security Center In-depth knowledge of Azure AI Foundry and its components, including: Azure Cognitive Services Azure Machine Learning Azure Bot Service Azure Databricks Proficiency in Power Automate for creating and managing automated workflows Strong programming skills in languages More ❯

Company: The Citation Group Position: Machine Learning Engineer Location: Wilmslow/Remote Type: Full-time – Permanent We’re looking for a Machine Learning Engineer to help us deploy, maintain, and continuously improve our machine learning models in production. As part of the Data Science & AI team you'll … better, faster, and smarter. You’ll be part of a collaborative, forward-thinking team that values experimentation, autonomy, and clear impact. Key Responsibilities Design, deploy, monitor, and maintain machine learning models in production using Databricks. Collaborate with data scientists, data engineers, and software developers to operationalise models. Own and improve model lifecycle management including versioning, performance … Requirements Experience deploying and maintaining ML models in production. Solid hands-on experience with Python and SQL. Practical knowledge of Databricks or similar platforms (e.g. SageMaker, Vertex AI, Azure ML). Comfortable working with Git and GitHub-based workflows. Strong problem-solving mindset and a proactive approach to automation and scaling. Ability to communicate clearly and collaborate More ❯

to solve our client's challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning softwaree.g. Amazon and Azure machine learning, or Google'sTensorFlow Deploying and managing in Cloud Computing such as AWS, MS … Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the More ❯

to solve our client's challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as … AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and More ❯

functional teams. Responsibilities Architect, implement, and maintain CI/CD pipelines to optimise software build, test, and deployment processes. Lead cloud infrastructure management and automation efforts on Microsoft Azure, ensuring scalability, security, and efficiency. Develop and enforce best practices in infrastructure as code using tools such as Terraform, Ansible, or CloudFormation. Design and implement monitoring, logging, and … Essential Proven experience in designing and managing complex CI/CD pipelines. Extensive hands-on experience with cloud computing on Microsoft Azure. Strong scripting and automation skills in Azure CLI, Bash, PowerShell, or Python. Deep expertise in containerisation technologies (Docker) and orchestration tools (Kubernetes). Advanced knowledge of infrastructure as code tools such as Terraform with Terragrunt … Desirable Strong understanding of DevOps security best practices, including IAM, compliance, and vulnerability management. Experience with Azure AI services, such as Azure Machine Learning or Azure AI Services (Cognitive), to enhance CI/CD automation, optimize DevOps processes, and accelerate developer code and feature delivery. Experience with More ❯

Strong analytical and problem-solving skills to tackle complex challenges. Some experience of curating and running production-scale ML pipelines. Up to date with the latest developments in machine learning (LLMs). Experience with AWS, Google Cloud, or Azure for deploying machine learning models. About working for us Our More ❯

Strong analytical and problem-solving skills to tackle complex challenges. Some experience of curating and running production-scale ML pipelines. Up to date with the latest developments in machine learning (LLMs). Experience with AWS, Google Cloud, or Azure for deploying machine learning models. About working for us Our 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 hear from you … 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 … tools (Azure DevOps preferred). Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising More ❯

teams to ensure project milestones are met. Ensure all appropriate reporting is in place. Leverage Microsoft's AI-driven capabilities such asCopilot, Azure AI, and machine learning capabilitiesto enhance customer experience, business processes and decision-making. Collaborate across our business sharing knowledge within the Accenture ecosystem to improve our platform capability and leverage … partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. Accenture is … best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Discover where this job fits at Accenture Industry understanding. Deep More ❯

Bamboo, Jenkins, TeamCity, Bitbucket) to streamline delivery Automated testing and static code analysis (e.g. SonarQube) to ensure quality It would be great if you also had experience with: Machine learning frameworks (e.g. TensorFlow, AWS/Azure ML) Cloud deployment and management (AWS, Azure) Containerisation (Docker, Kubernetes) Databases (relational, document, or More ❯