76 to 84 of 84 Azure Machine Learning Jobs

analytics solutions Proven experience designing and evolving enterprise-scale data platforms Deep expertise in cloud-based data and analytics services on the Microsoft Azure platform (e.g. Azure Databricks, Azure ML) Experience shaping proofs of concept and evolving designs into production solutions ...

while helping shape the next generation of analytics and AI offerings. This is an opportunity to sit at the intersection of Data Science, Machine Learning, analytics, and consulting. You'll have significant ownership from day one, working on both client-facing engagements and internal innovation projects. … base + up to £13,000 annual bonus • Working model: Hybrid (2–3 days per week in Victoria, London) • Tech stack: Python, SQL, Azure/cloud technologies, ML tooling • Sponsorship: Exceptional candidates only Interested? Please apply below. ...

product demos independently. Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on‐premise, and hybrid deployment models. Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency ...

leading validation activities. Candidates should have 7+ years of experience in model risk management and strong skills in Python and ML tools like Azure ML. The position offers a salary range of £95,000–£130,000, hybrid working conditions, and direct exposure to regulatory engagements. #J ...

cloud platform and driving engineering excellence across the organisation. We're seeking a highly skilled DevOps professional with deep expertise in Microsoft Azure, Infrastructure as Code (IaC), and cloud automation to design, build and optimise secure, scalable and resilient cloud solutions. Working at the heart … infrastructure strictly through modular, reusable Terraform. GitOps & GitFlow : Enforce rigorous GitFlow branching strategies, code reviews, and automated deployment practices for all infrastructure changes. Azure DevOps Pipelines : Design, build, and maintain secure, high-speed CI/CD pipelines within Azure DevOps to automate code promotion ...

infrastructure strictly through modular, reusable Terraform. GitOps & GitFlow : Enforce rigorous GitFlow branching strategies, code reviews, and automated deployment practices for all infrastructure changes. Azure DevOps Pipelines : Design, build, and maintain secure, high‐speed CI/CD pipelines within Azure DevOps to automate code promotion … effectively to both technical and non‐technical stakeholders. AI/ML Platform Automation : Architect and maintain highly available MLOps platforms across AWS and Azure environments. Developer Enablement : Build self‐service infrastructure tools, deployment templates, and continuous training/inference pipelines to eliminate friction. Why you should apply ...

Skills & Experience Deep experience architecting and scaling enterprise-grade AI/ML systems . Proven expertise with cloud AI ecosystems (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong command of agent frameworks , vector databases , and LLM orchestration tools . Ability to lead multi ...

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 ...