8 of 8 Azure Machine Learning Jobs in Glasgow

PURPOSE OF JOB: We’re looking for an experienced Azure Data & AI Engineer with a strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML … block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning … Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing More ❯

block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning … share insights and contribute to a knowledge-sharing culture. QUALIFICATIONS, EXPERIENCE, & SKILLS: Professional Qualifications Relevant Azure certifications such as Microsoft Certified: Azure Data Engineer Associate or similar - DESIRABLE Years of Experience 5+ years working with production data workloads in Azure - ESSENTIAL … Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing More ❯

working in a dynamic environment. You should have a foundation in Python, data handling, and cloud concepts, and an interest in the Microsoft Azure ecosystem. Over time, you’ll also gain exposure to customer-facing activities such as workshops, demos, and project delivery sessions. Key areas you … ready cloud environments Consulting fundamentals and effective customer communication KEY RESPONSIBILITIES: Support the design, development, and deployment of Data & AI solutions using Microsoft Azure technologies Assist in delivering client-facing engagements, including workshops, solution demos, and project implementation Collaborate with senior engineers and consultants to contribute to … Other Requirements Strong foundational knowledge of Python, data structures, and basic ML/AI concepts - ESSENTIAL Awareness of cloud computing fundamentals, preferably Microsoft Azure - ESSENTIAL Strong problem-solving skills and eagerness to learn new technologies - ESSENTIAL Clear written and verbal communication skills - ESSENTIAL Exposure to Azure More ❯

Machine Learning Engineer Remote with Travel Are you an experienced Machine Learning Engineer looking to work on cutting edge cloud projects for prestigious clients? This organisation has experienced continually strong growth since founding, and this exciting role would see the successful candidate … Opportunities for career development and progression within the company and support for this Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will be involved in creating ML models to be deployed in the cloud and supporting the Data Engineering, DataOps … grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to work with databases like More ❯

science team as we scale. Key Responsibilities Design and implement data science solutions to drive business insights and decision-making Build and deploy machine learning models to solve real business problems Develop and maintain data pipelines and analytics infrastructure on Azure Collaborate with … team members and contribute to building a data-driven culture Essential Requirements Technical Skills: Proficiency in Python or R for data analysis and machine learning Strong SQL skills for data extraction, transformation, and analysis Experience with Azure cloud platform and services Hands-on … experience with AI productivity tools (e.g., GitHub Copilot, ChatGPT, etc.) Practical machine learning experience including model development, validation, and deployment Experience working with data platforms and infrastructure (any technology stack) Professional Experience: Proven track record of delivering data science projects in a business environment Experience translating More ❯

Cloud Architect – Azure, Synapse, Data Platforms 1 year Fixed Term Contract Hybrid – Cardiff, London, or Glasgow – 1 day per week onsite. Salary – up to £62,000 per annum. We are looking for a cloud architect to help play a crucial role in shaping and advancing our customers … Monitor. Design the integration of the Power Platform ecosystem with the existing Common Data Platform. Develop solutions using Azure Machine Learning, Function Apps, and Logic Apps. Oversee API management and authentication processes. Ensure compliance with industry standards and best practices. Key Skills … Services including VNets, gateways, Service Bus, Event Grid, Synapse, Blob Storage, Azure Monitor, Azure Machine Learning, API Management, authentication and Logic Apps. Proven experience in data technologies and development processes best practices. Experience monitoring impact, service quality More ❯

Engineer (Agentic AI & LLM Specialist) Location: UK-based, fast-growing technology consultancy specialising in the energy sector Cloud Experience: Must have AWS or Azure (certifications desirable) Management: No direct line management required (unless preferred) Consultancy/Energy Experience: Highly beneficial, non-essential Visa Sponsorship: Not currently available … AI architectures and LLM frameworks. End-to-End AI Delivery Design, build, and maintain scalable AI and LLM-based pipelines using AWS or Azure services (e.g., SageMaker, Azure ML, Databricks, OpenAI integrations). Oversee AI model lifecycles from data preprocessing and prompt engineering through … Skills Agentic AI & LLMs: Hands-on experience building, deploying, and managing large language models and agent-based AI workflows. Cloud AI (AWS/Azure): Demonstrated experience delivering AI solutions in production cloud environments. Advanced Python: Expertise in developing efficient, production-grade AI/ML code. LLMOps & AI More ❯

Engineer (Agentic AI & LLM Specialist) Location: UK-based, fast-growing technology consultancy specialising in the energy sector Cloud Experience: Must have AWS or Azure (certifications desirable) Management: No direct line management required (unless preferred) Consultancy/Energy Experience: Highly beneficial, non-essential Visa Sponsorship: Not currently available … AI architectures and LLM frameworks. End-to-End AI Delivery Design, build, and maintain scalable AI and LLM-based pipelines using AWS or Azure services (e.g., SageMaker, Azure ML, Databricks, OpenAI integrations). Oversee AI model lifecycles from data preprocessing and prompt engineering through … Skills Agentic AI & LLMs: Hands-on experience building, deploying, and managing large language models and agent-based AI workflows. Cloud AI (AWS/Azure): Demonstrated experience delivering AI solutions in production cloud environments. Advanced Python: Expertise in developing efficient, production-grade AI/ML code. LLMOps & AI More ❯