76 to 91 of 91 Azure Machine Learning Jobs in the UK

architecture, security, business, engineering, and data teams (data protection, data risks, AI governance) to shape pragmatic, future-facing AI solutions Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure ...

architecture, security, business, engineering, and data teams (data protection, data risks, AI governance) to shape pragmatic, future-facing AI solutions. Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure ...

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 ...

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 ...

Royal London is seeking a Senior Machine Learning Operations Engineer to lead scalable, production-grade ML workflows. You’ll collaborate with data scientists, engineers and platform teams to establish standards for CI/CD, experiment tracking, model lineage and governance. Using Databricks, MLflow and Azure ...

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 ...

ML solutions for the business. You will develop AI-powered automations, multi-agent workflows, and predictive models usingMicrosoft AI Foundry, Agent Framework and Azure ML. You will collaborate with stakeholders, ensure secure, scalable and observable systems, and contribute to architectural decisions while advancing responsible AI practices. #J ...

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 ...

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 ...

Huxley is seeking an AI Engineer in London (and Glasgow) to design, implement, and maintain AI solutions using Azure services. You will build scalable models and integrate them into business workflows. The role requires 5+ years in cloud AI, strong Python/C#/Java skills … deep knowledge of Azure OpenAI, Azure ML, and related tools. Collaboration with analysts, data scientists, and IT teams is essential. #J-18808-Ljbffr ...

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 ...

documentation of support processes & resolutions to known operational issues. Participate in a 24/7 on call rota as required. Essential Criteria Proven Azure commercial experience in AI Foundry, ACS/Telephony, Voice Live, Azure ML Proven industry experience with Python, Javascript, Typescript, React ...

Generative & Agentic AI services, deploy scalable and secure production systems, and collaborate with engineers to evolve the architecture. The role requires experience with Azure ML, Python/JS/TS/React/Redux/Java, and Docker-based distributed systems. You will participate in a fast ...

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 ...

Science, Engineering, or a related technical field is preferred. Key Skills and Competencies: Deep Technical Expertise: Profound understanding of cloud-native architectures (AWS, Azure, GCP), AI/ML fundamentals and MLOps, and API design principles (REST, GraphQL). Experience with AI SDKs and mobile device ecosystems (Android … committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending ...