51 to 57 of 57 Permanent Azure Machine Learning Jobs

scalable multi‐provider AI platforms, leveraging third‐party capabilities where they add value that minimise vendor lock‐in and support rapid experimentation across Azure OpenAI and alternative LLM ecosystems. You’ll also shape the design of agentic AI systems, orchestration layers, and integration patterns that support flexible … understanding of adjacent AI disciplines such as NLP, Computer Vision, and data engineering. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Skills: Expert‐level Python development and strong familiarity with modern AI frameworks ...

tools to push the boundaries of what's possible today, with the scepticism to avoid overhyping what they can do. You're actively learning and experimenting with AI tools, pushing the boundary of what's possible today, with the healthy scepticism that keeps you from overhyping what they ...

modelling to identify gaps between predicted vs. actual claim costs Working with large, messy insurance datasets across multiple product lines Tools & tech: Python, SQL, AzureML, XGBoost Opportunity to mentor within the team ...

highly client-facing background • Ability to build trust and confidence with senior stakeholders • Experience delivering AI solutions into production • Strong Python engineering fundamentals • Azure AI Foundry, Azure ML, Databricks, SageMaker, Bedrock, or similar • MLOps, CI/CD, observability, and production AI delivery • Experience leading ...

getting it right is visible at company level. You'll design and deploy solutions in Python, SQL and Spark SQL, working across Azure Synapse, Snowflake, Databricks and Azure ML. The environment is modern and evolving. You'll help shape what good looks like before … background in data science or applied statistics, with hands-on ML experience and the Python/SQL depth to match. Experience with Azure tooling is useful; the ability to think clearly about business problems and turn them into scalable analytical solutions is non-negotiable. Curious to find ...

commercial stakeholders to ensure models are practical and impactful. Your Skills and Experience Strong commercial experience using Python for Data Science and Machine Learning. Confident working with SQL to access and manipulate data. Proven experience delivering end-to-end Data Science solutions, including deployment into production environments. Ability … communicate clearly with non-technical stakeholders and explain model outputs and impact. Exposure to cloud platforms such as GCP or Azure is beneficial, with openness to tools like Vertex AI or Azure ML. What They Offer Salary up too £48,000. Hybrid working with ...

large and complex datasets • Develop residual and pricing models to test new signals • Work on geospatial/footprint modelling problems • Deploy models using Azure ML and internal infrastructure • Experiment with new data sources to improve pricing models • Mentor a graduate data scientist Key Details • Salary … exceptional candidates) • Bonus: ~20% + £5k car allowance • Working model: Hybrid (1 day per week in office – London) • Tech stack: Python, SQL, Azure ML, GraphDB • Visa sponsorship: Available Interested? Please apply below. ...