151 to 175 of 178 Azure Machine Learning Jobs

Desirable: UK Central Government, Defence or regulated-sector experience. Defence, maritime, hydrographic, sonar, underwater mapping or oil & gas experience. Experience with Microsoft Purview, Azure ML, Databricks, MLflow or Microsoft Fabric . Knowledge of DAMA-DMBOK, NIST AI RMF, ISO 23894, ISO 27001 or UK GDPR . MLOps ...

Desirable: UK Central Government, Defence or regulated-sector experience. Defence, maritime, hydrographic, sonar, underwater mapping or oil & gas experience. Experience with Microsoft Purview, Azure ML, Databricks, MLflow or Microsoft Fabric . Knowledge of DAMA-DMBOK, NIST AI RMF, ISO 23894, ISO 27001 or UK GDPR . MLOps ...

required but would be beneficial Solid knowledge of ETL, ETL design patterns, data warehousing and data governance. Problem solving mindset. Familiarity with Microsoft Azure and AI/ML platforms. Current security clearance, or ability to obtain security clearance. Ideally HNC, HND or Degree qualified in a Data ...

required but would be beneficial Solid knowledge of ETL, ETL design patterns, data warehousing and data governance. Problem solving mindset. Familiarity with Microsoft Azure and AI/ML platforms. Current security clearance, or ability to obtain security clearance. Ideally HNC, HND or Degree qualified in a Data ...

required but would be beneficial Solid knowledge of ETL, ETL design patterns, data warehousing and data governance. Problem solving mindset. Familiarity with Microsoft Azure and AI/ML platforms. Current security clearance, or ability to obtain security clearance. Ideally HNC, HND or Degree qualified in a Data ...

required but would be beneficial Solid knowledge of ETL, ETL design patterns, data warehousing and data governance. Problem solving mindset. Familiarity with Microsoft Azure and AI/ML platforms. Current security clearance, or ability to obtain security clearance. Ideally HNC, HND or Degree qualified in a Data ...

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 ...

hiring a Senior Data Scientist to join a leading UK insurer's Pricing & Data Science function, working on innovative machine learning solutions that directly influence risk assessment, pricing, fraud detection, and commercial performance. This is a role for someone who enjoys taking models from problem definition … model refreshes. What they're looking for - Proven experience delivering ML projects from concept to deployment. - Strong Python and SQL skills. - Experience with Azure ML, Git, and cloud-based analytics environments. - Strong stakeholder engagement and commercial problem-solving capability. - Passion for applying emerging ML techniques to real ...

MLOps Engineer for AI training to build scalable pipelines, registries, and rollback plans. You will review code across Kubeflow, MLflow, SageMaker, Vertex AI & Azure ML and improve CI/CD for ML workflows. Ideal candidates bring multiple cloud ML platform strengths, Docker/Helm proficiency, and experience ...

data governance, DPIAs, and data quality frameworks. Practical exposure to AI risk management and lifecycle assurance. Familiarity with MLOps/cloud ecosystems (Azure ML, Databricks, Fabric). Background in defence, maritime, geospatial, or energy sectors is a strong plus. #J-18808-Ljbffr ...

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 ...

hands-on product demos independently. 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. Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, safetensors, HuggingFace model ...

grade AI solutions using modern engineering practices. Youll work directly with customers to design and deliver applications that integrate LLMs, agentic systems and Azure AI services. Initially, youll join an innovation-focused team to establish a mature, repeatable pattern for AI delivery. Once proven, youll transition into … testing approaches. Experience mentoring or leading small development teams. Why Candidates Are Attracted to This Environment The organisation offers strong development culture, structured learning pathways, competitive salary progression, generous leave, wellbeing support, health cash plans, volunteering days, life assurance, EV and tech schemes, retail discounts, onsite gyms (where ...

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 ...

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 ...

work model, collaborating with engineering and product teams to embed security early in design. The team emphasizes governance, threat modelling, cloud security across Azure/GCP, AI/ML security, #J-18808-Ljbffr ...

Data Engineering Consultant, Data Specialist, Data Bricks, Snowflake, Data Analytics, Azure, Fabric, ML, Azure, Mainly Remote Data Consultant/Data Specialist required to join a fast growing Professional Services business based in the City of London. As this is an external client facing consulting ...

Data Engineering Consultant, Data Specialist, Data Bricks, Snowflake, Data Analytics, Azure, Fabric, ML, Azure, Mainly Remote Data Consultant/Data Specialist required to join a fast growing Professional Services business based in the City of London. As this is an external client facing consulting ...

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 ...

engineering experience - for example, working with IaC, Terraform, or similar tooling. Role: * Contribute to the design and delivery of robust, automated, and scalable Azure and Snowflake data platform components. * Develop and maintain infrastructure-as-code using Terraform, ensuring consistency and reusability across environments. * Build and optimise …/CD pipelines using Azure DevOps and GitHub Actions to support rapid, reliable deployments. * Implement observability practices including logging, metrics, and alerting using observability tools. * Collaborate with the Lead Engineer and Architects to align implementation with platform standards and patterns. * Provide technical guidance and mentorship ...

designing and operating model monitoring frameworks — drift detection, performance tracking, alerting Exposure to GenAI/LLM deployment in enterprise settings Cloud platform experience — Azure preferred Experience working in regulated industries — insurance or financial services strongly preferred Demonstrable experience with responsible AI practices — explainability, bias review, model auditability … plus ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program. Integrity. client focus. respect. excellence. teamwork Our core values dictate how we live and work. We’re an ethical ...

Terraform, or similar tooling. How you'll help us make health happen: Contribute to the design and delivery of robust, automated, and scalable Azure and Snowflake data platform components. Develop and maintain infrastructure-as-code using Terraform, ensuring consistency and reusability across environments. Build and optimize …/CD pipelines using Azure DevOps and GitHub Actions to support rapid, reliable deployments. Implement observability practices including logging, metrics, and alerting using observability tools. Collaborate with the Lead Engineer and Architects to align implementation with platform standards and patterns. Provide technical guidance and mentorship ...

skills and experience: Deep domain expertise and demonstrable experience with cloud-based services for data analytics and AI on the Microsoft Cloud (e.g. Azure ML, AI Foundry, Azure Databricks ) Experience shaping proof of concepts and evolve designs to productionised solutions with appropriate AI governance … role design, systems integration, and evaluation of architectures. Broader expertise of technologies and applications relevant to the Bank’s enterprise applications (e.g. Cloud, Azure, Databricks, data life cycle management, medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise ...