26 to 34 of 34 Azure Machine Learning Jobs in Berkshire

HTTPS, OAuth2, OIDC, SAML, JWT Languages - Python/Node.js/Golang Development – REST API/Microservices Desirable Skills: Multi-Cloud Knowledge/Experience - Azure/AWS. AI/ML – Vertex AI. Engagement with major blue-chip clients/financial organisations Certification GCP Professional Certification – Associate Engineer, Data More ❯

to innovative technology Work with customers and identify opportunities to support their strategy and improve their processes across functions Gain access to endless learning opportunities The Role As an Enterprise Data Architect you will be working closely with the Chief Data Officer (CDO) and drive the architectural vision … requires a deep understanding of modern data architectures, cloud technologies, and AI/ML frameworks with hands-on expertise in Snowflake, dbt, and Azure AI/ML services. Key responsibilities: Architect & Design: Define and evolve the Data platform architecture, ensuring scalability, security, and cost-effectiveness Data Strategy … strategy, governance, and compliance frameworks Cloud & AI/ML Initiatives: Lead Azure AI/ML adoption, integrating advanced analytics and machine learning capabilities Modern Data Stack: Oversee the implementation of Snowflake, dbt, and other data processing frameworks for optimal performance Stakeholder Collaboration: Engage More ❯

product innovations arising from emerging technologies and new customer use cases. Technology You'll Use Python, pandas, PyTorch, Databricks, Snowflake, AWS Bedrock, SageMaker, Azure ML, Google Vertex AI Your Role Responsibilities Research and develop expertise in product innovation areas including unstructured data management, AI governance, and protected … horizon. What We'd Like to See Strong technical expertise in data-related areas, including data preparation, model training, and performance evaluation for machine learning/AI. Passion for exploring and evaluating new data management and governance technologies, with the ability to compare approaches to find … Seaborn, with experience in data science and engineering. Experience with cloud service technologies and enterprise tools such as Databricks, Snowflake, AWS Bedrock, SageMaker, Azure ML, and Google Vertex AI. Role Essentials Postgraduate education in Science, Technology, Engineering, or Mathematics. BA/BS or equivalent, or relevant combination More ❯

performing data science teams. Excellent stakeholder management and communication skills – able to explain complex concepts in accessible language. Proficiency in tools such as Azure ML Studio , Databricks , AWS/SageMaker , Snowflake , and cloud-native platforms. Familiarity with CI/CD tools like Azure DevOps More ❯

performing data science teams. Excellent stakeholder management and communication skills – able to explain complex concepts in accessible language. Proficiency in tools such as Azure ML Studio , Databricks , AWS/SageMaker , Snowflake , and cloud-native platforms. Familiarity with CI/CD tools like Azure DevOps More ❯

would be a significant plus. Exposure to the following technologies and platforms would be extremely beneficial (in the context of holistic Solution Definition): Azure Data and Analytics tooling, Salesforce CRM, ESRI GIS, Energy Exemplar Plexos, DigSilent PowerFactory, Azure ML, Python Applications, Azure PowerApps, AI (Azure AAEs/Microsoft Co-Pilot), Enterprise Systems Integration, Portals and Data Exchange, Microsoft 365 and Project Planning Tools. Qualifications No formal qualifications are required for this role, but due to the nature of the Strategic Energy Planning programme, a candidate with More ❯

engineering, data science, and data visualisation Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills (Power BI, Tableau More ❯

engineering, data science, and data visualisation Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) A passion for social impact and a More ❯

engineering, data science, and data visualisation Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) A passion for social impact and a More ❯