4,926 to 4,950 of 9,103 Permanent Azure Jobs

decisions around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

decisions around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

decisions around cost, latency, throughput and accuracy 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference ...

implementations, web services, database design, data modeling, and Model Context Protocol (MCP) configurations. Infrastructure & Security Cloud Ecosystems & iPaaS: Deep familiarity with cloud environments (AWS, Azure, GCP) and experience orchestrating enterprise-wide data utilizing iPaaS applications. Enterprise Security & Compliance: Comprehensive knowledge of Single Sign-On (SSO) configurations, OAuth, advanced data ...

segmentation, propensity modelling, next-best-action, attribution, and customer journey analytics — ability to interpret and apply, not necessarily build Knowledge of cloud data platforms (Azure, GCP, AWS) and modern data architecture patterns (medallion architecture, data mesh, real‐time streaming) Proven ability to build business cases, develop roadmaps, and communicate ...

platform. Cloud Architecture & Technical Leadership Architect and oversee the development of a cloud-native, multi-tenant SaaS platform built on containerized microservices (Azure/AWS/GCP), with Kubernetes orchestration, CI/CD pipeline, and full DevOps fabric. Lead the design and implementation of a browser-based React ...

significant time in architectural roles Proven experience designing distributed systems across cloud and application layers Strong experience with at least one major cloud platform (Azure, AWS, or GCP), ideally across multiple Experience integrating hardware or embedded systems with cloud‐based platforms Strong understanding of modern software architecture patterns ...

closed‐loop evaluation of driving policies. Productionising research: Flyte/Ray/Spark‐style jobs, dataset lineage, training mix configuration; cloud GPU fleets (Azure/AWS/GCP) and distributed training. Strong publication record or contributions to open‐source ML tooling. Previous experience in startup‐like or high‐ambiguity ...

Applied Mathematics, or related fieldProduction ML engineering excellence – Deep understanding of ML operations, including containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure), workflow orchestration (Airflow), automated testing for ML systems, and API development for model deploymentTechnical leadership and influence – Track record of mentoring and coaching engineers ...

Applied Mathematics, or related fieldProduction ML engineering excellence – Deep understanding of ML operations, including containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure), workflow orchestration (Airflow), automated testing for ML systems, and API development for model deploymentTechnical leadership and influence – Track record of mentoring and coaching engineers ...

closed-loop evaluation of driving policies. Productionising research: Flyte/Ray/Spark-style jobs, dataset lineage, training mix configuration; cloud GPU fleets (Azure/AWS/GCP) and distributed training. Strong publication record or contributions to open-source ML tooling. Previous experience in startup-like or high-ambiguity ...

lead, what you build, and the kind of talent you attractDeep cloud-native expertise — hands-on mastery of AWS and/or Azure, Docker, Kubernetes/EKS, microservices architecture, and sophisticated CI/CD and deployment pipelines for large-scale application deliveryGenerative AI and intelligent systems experience — hands ...

customer-facing deployments end-to-end. Deep public sector experience, ideally in defence, intelligence, or national security. Solution architecture depth across cloud (AWS or Azure), data engineering (Python, SQL, Spark, Databricks), complex system integrations (REST APIs, SSO/SAML), and containerized deployments (Kubernetes, Docker). A track record partnering ...