7 of 7 Permanent Azure Machine Learning Jobs in Central London

Machine Learning Engineer - Client facing - 12 months FTC Department: Project Delivery Employment Type: Permanent - Full Time Location: London Description The Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team. A technical, client‐facing group … Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI This is a 12 months contract with potential to become a perm role afterwards. Key Responsibilities Machine learning and AI engineering Design, train and optimise predictive models ...

Data Factory pipelines, datasets, linked services, triggers; Azure Databricks (Spark jobs, notebooks, clusters); Azure Machine Learning models and endpoints; Power BI dashboards and dataset refreshes. Monitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure … Azure Data Factory (pipelines, triggers, parameterization, monitoring); Azure Databricks (Spark, notebooks, job orchestration); Azure Machine Learning (pipelines, model deployment, monitoring); Power BI Service (dataset refreshes, access control, report diagnostics). DevOps & Automation – CI/CD using Azure ...

align with best practice. Deliver secure and compliant AI engagements: leveraging Agent 365, Azure OpenAI, Azure Machine Learning, and Microsoft Cognitive Services tailored to client business needs. Monitor evolving: data privacy and AI compliance regulations (e.g., GDPR, AI Act, HIPAA … presentation skills to translate technical capabilities into business value. Preferred Certifications: Microsoft Certified: Information Protection and Compliance Administrator Associate (SC-400) Microsoft Certified: Azure AI Engineer Associate (AI-102) Microsoft Certified: Cybersecurity Architect Expert (SC-100) Key Traits & Competencies: Strategic Thinking: Ability to develop long-term Data ...

Ph.D. in Speech Science, Artificial Intelligence, Computational Linguistics, Mathematics, or a highly related quantitative field. Experience: 5+ years of industry experience in Machine Learning, Deep Learning, or Data Science, with at least 2 years specifically focused on Generative AI, NLP, or Speech domains. Speech … Experience with multimodal model architectures, including audio-text native models. Familiarity with cloud ML ecosystems such as AWS SageMaker, GCP Vertex AI, or Azure ML. #J-18808-Ljbffr ...

best things about working at Avanade Opportunity to work for Microsoft’s Global Alliance Partner of the Year (20 times) Exceptional learning and development, including a minimum of 80 hours per year for training and paid certifications Real‐time access to global technical expertise and specialist communities Collaboration … solve meaningful problems, and continuously grow your career #Li-EU A great place to work At Avanade, you’ll gain distinctive experiences, limitless learning, and ambitious growth in return for your skills and ideas. As we continue to build a diverse and inclusive culture, we become more innovative ...

their most complex business issues, let’s talk. What you’ll do Design, development, and delivery of enterprise‐grade analytics solutions based on Azure and Databricks technologies Evangelise and evolve best practices for our clients and our team including mentoring your colleagues, supporting their personal development Constantly … Azure technologies, such as Databricks, Microsoft Fabric, Data Factory, Azure Data Lake Storage (Gen2), Purview, Cosmos DB, OpenAI, AzureML, AIFoundry, Kubernetes Understanding of software engineering tools and concepts including experience in Python, Scala or PySpark, database technologies, data modelling and SQL Confident communicator ...

skills and knowledge: Cloud hosting providers such as AWS, Azure, GCP, Vercel & Netlify Cross‐platform AI experience across AWS, Microsoft Azure, Google (e.g. Bedrock, AgentCore, Vertex, Azure ML etc.) Advanced Python programming AI frameworks such as AutoGen, Langflow, Tensorflow Knowledge … such as React, or Mobile technologies such as SwiftUI, Kotlin, Flutter or React‐native CMS, DXPs and common MarTech SaaS products integration Atlassian, Azure DevOps, GitLab or similar workflow tools Understanding of Automation and Quality assurance practices QUALITIES AND CHARACTERISTICS Must be from an engineering or development ...