4 of 4 Permanent Azure Machine Learning Jobs in Central London

days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines … Snowpark, PySpark, or PyTorch Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer Familiarity with cloud platforms (AWS, Azure) and ML services (e.g., SageMaker, Vertex AI) Experience with CI/CD pipelines and automation tools such as GitHub Actions Understanding of monitoring ...

management, and data security solutions for an enterprise across business verticals Experience on at least one of the 3 major cloud platforms- AWS, Azure, GCP Knowledge of GenAI technologies, including LLMs (Large Language Models), generative models … related frameworks (e.g., LangChain, TensorFlow, etc.) Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI, and their relevant services for building and deploying GenAI workloads. Knowledge of market ...

Director of Data & AI | Microsoft Azure Stack | AI-Driven Legal Platform Workplace Type: Hybrid Location: London Salary: 130-150k The Role This is a senior leadership role for someone who wants to sit at the heart of a business where AI is already embedded into live … Employee Benefits Private medical insurance 25 days holiday Pension Hybrid working (2 days per week in the office) Director of Data & AI | Microsoft Azure Stack | AI-Driven Legal Platform ...

data frameworks (DAMA-DMBOK, NIST AI RMF, ISO 23894, ISO 27001, GDPR/DPA 2018); hands-on with platforms such as Microsoft Purview, Azure ML, Databricks, Power BI, Collibra, or Alation; exposure to MLOps practices. ...