2 of 2 Azure Machine Learning Jobs in the Thames Valley

translate them into technical solutions that leverage the latest technologies in data and AI. This role requires a deep understanding of data architecture, machine learning, and AI technologies, as well as strong problem-solving and communication skills. Key Responsibilities: Design and implement data and AI solutions … using tools such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Implement machine learning models and AI algorithms using frameworks like Azure Machine Learning, Microsoft Cognitive Services, and … of experience in data and AI consulting or a related field. Strong understanding of data architecture, data modeling, and data warehousing. Experience with machine learning frameworks and AI technologies. Proficiency in programming languages such as Python, R, or Java. Excellent problem-solving and analytical skills. Strong More ❯

secure data platforms to support business insights, analytics, and other data-driven initiatives. Job Specification ( Technical Skills) : Cloud Platforms: Expert-level proficiency in Azure (Data Factory, Databricks, Spark, SQL Database, DevOps/Git, Data Lake, Delta Lake, Power BI), with working knowledge of Azure WebApp and Networking. Conceptual understanding of Azure AI Services, ML, Unity Catalog, and data catalog technologies such as Purview. Strong proficiency in Azure or Snowflake or AWS or GCP is required. Data Engineering: Advanced proficiency in SQL, Python, and at least … the Five Principles. Join a purpose driven company, where we’re striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. More ❯