1,826 to 1,850 of 7,397 Microsoft-Azure Jobs in England

training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

Senior Data Engineer to lead on projects, drive engineering excellence, and help shape innovative data solutions across cloud platforms like AWS, Azure, and GCP. Join a high performing team that partners with enterprise clients across sectors to deliver cutting edge data projects. This is a hybrid role … alignment between business goals and technical delivery. What You'll Bring 5+ years in data engineering with proven delivery in cloud platforms (AWS, Azure, or GCP). Expertise in Snowflake development and optimisation. Strong skills in Python and SQL for ELT/ETL and transformation workflows. Experience with ...

training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models … expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques ...

Senior Data Engineer to lead on projects, drive engineering excellence, and help shape innovative data solutions across cloud platforms like AWS, Azure, and GCP. Join a high performing team that partners with enterprise clients across sectors to deliver cutting edge data projects. This is a hybrid role … alignment between business goals and technical delivery. What You'll Bring 5+ years in data engineering with proven delivery in cloud platforms (AWS, Azure, or GCP). Expertise in Snowflake development and optimisation. Strong skills in Python and SQL for ELT/ETL and transformation workflows. Experience with ...

schemas and queries primarily within SQL Server, ensuring high performance and data integrity. Contribute to and enhance our CI/CD pipelines using Azure DevOps or GitHub Actions, promoting efficient and reliable deployments. Write clean, maintainable, and well-tested code, adhering to best practices and contributing to code … relational databases, particularly SQL Server, including schema design, query optimisation, and performance tuning. DevOps & Cloud Skills: Practical experience with CI/CD tools (Azure DevOps, GitHub Actions) and containerisation (Docker). Familiarity with Azure services (Functions, App Services, Storage, Key Vault, Azure SQL). ...

schemas and queries primarily within SQL Server, ensuring high performance and data integrity. Contribute to and enhance our CI/CD pipelines using Azure DevOps or GitHub Actions, promoting efficient and reliable deployments. Write clean, maintainable, and well-tested code, adhering to best practices and contributing to code … relational databases, particularly SQL Server, including schema design, query optimisation, and performance tuning. DevOps & Cloud Skills: Practical experience with CI/CD tools (Azure DevOps, GitHub Actions) and containerisation (Docker). Familiarity with Azure services (Functions, App Services, Storage, Key Vault, Azure SQL). ...

schemas and queries primarily within SQL Server, ensuring high performance and data integrity. Contribute to and enhance our CI/CD pipelines using Azure DevOps or GitHub Actions, promoting efficient and reliable deployments. Write clean, maintainable, and well-tested code, adhering to best practices and contributing to code … relational databases, particularly SQL Server, including schema design, query optimisation, and performance tuning. DevOps & Cloud Skills: Practical experience with CI/CD tools (Azure DevOps, GitHub Actions) and containerisation (Docker). Familiarity with Azure services (Functions, App Services, Storage, Key Vault, Azure SQL). ...

client challenges, showcase product capabilities, gather feedback, and influence development priorities. Model Deployment: Work closely with engineers to productionize models on cloud platforms (Azure, AWS, or GCP) using MLOps and DevSecOps best practices. Continuous Improvement: Partner with the Product Owner to monitor model performance and user feedback, refining … TensorFlow, Keras, PyTorch, or MXNet. Agile & DevSecOps: Familiarity with Agile methodologies and DevSecOps practices, including Git for version control. Cloud Platforms: Exposure to Azure, AWS, or GCP, with a strong interest in building scalable solutions. Communication Skills: Ability to translate complex data concepts for both technical ...

Cloud adoption and build their business journeys more scalable, resilient and efficient. Your responsibilities: Architect and optimize Cloud Landing Zones for GCP and Azure environments ensuring scalability, security, and compliance Design and implement multi-cloud platform solutions leveraging GKE (Google Kubernetes Engine) and AKS (Azure Kubernetes … Lead migration of legacy workloads into modern cloud-native architectures Provide technical leadership and best practices for Cloud Platform Engineering across GCP and Azure ecosystems. Your Profile Essential skills/knowledge/experience: Proven experience as a Cloud Architect with hands-on expertise in GCP and Azure ...

client challenges, showcase product capabilities, gather feedback, and influence development priorities. Model Deployment: Work closely with engineers to productionize models on cloud platforms (Azure, AWS, or GCP) using MLOps and DevSecOps best practices. Continuous Improvement: Partner with the Product Owner to monitor model performance and user feedback, refining … TensorFlow, Keras, PyTorch, or MXNet. Agile & DevSecOps: Familiarity with Agile methodologies and DevSecOps practices, including Git for version control. Cloud Platforms: Exposure to Azure, AWS, or GCP, with a strong interest in building scalable solutions. Communication Skills: Ability to translate complex data concepts for both technical ...

client challenges, showcase product capabilities, gather feedback, and influence development priorities. Model Deployment: Work closely with engineers to productionize models on cloud platforms (Azure, AWS, or GCP) using MLOps and DevSecOps best practices. Continuous Improvement: Partner with the Product Owner to monitor model performance and user feedback, refining … TensorFlow, Keras, PyTorch, or MXNet. Agile & DevSecOps: Familiarity with Agile methodologies and DevSecOps practices, including Git for version control. Cloud Platforms: Exposure to Azure, AWS, or GCP, with a strong interest in building scalable solutions. Communication Skills: Ability to translate complex data concepts for both technical ...

automation using DevOps practices. Strong hands-on experience with: Terraform, Ansible, or similar IaC tools CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps) AND Cloud platforms (AWS, Azure, or GCP) Solid understanding of networking concepts (TCP/IP, DNS, routing, VPNs, firewalls). Familiarity ...

preferred) Proven experience with DevOps workflows including Pipelines, Infrastructure as code and Observability Expertise in one or more of the major Cloud platforms (Azure, AWS, GCP) A Security first mindset with strong analytical and troubleshooting skills with the ability to work closely with engineers and stakeholders Benefits Competitive … offered for this role. Keywords: DevOps, DevSecOps, CI/CD, Terraform, Ansible, Docker, Kubernetes, PKI, secret management, secure SDLC, Prometheus, ELK, Grafana, AWS, Azure ...

first mindset within delivery teams. DevOps & Tooling Proficiency (Preferred) Category Tools & Technologies CI/CD GitLab CI/CD, Jenkins, GitHub Actions, CircleCI, Azure DevOps Pipelines Infrastructure-as-Code Terraform, Ansible, AWS CloudFormation, Pulumi Cloud Platforms AWS, Azure, GCP, or private cloud (OpenStack) Containerization Docker, Podman ...

travel to the company’s Exeter office once per quarter . Travel and accommodation will be fully paid for. Tech Stack • .NET 8 • Azure (Functions, cloud-native services) • PostgreSQL • Next.js (separate frontend team handles this) • Playwright for E2E testing • Databricks + ML tooling • GitHub Copilot/AI-assisted … large-scale integrations with global systems and external APIs. What We’re Looking For • Strong backend engineering experience with .NET • Cloud experience (Azure, AWS or GCP) • Understanding of observability and reliable system design • Exposure to at least one additional programming language (Go, Python, Rust, Node, Java etc), commercial ...

detection), enabling composable, reviewed changes across environments. Run scalable compute: Stand up and operate container platforms — Kubernetes (incl. EKS, AKS, GKE), ECS, and Azure Container Instances (ACI) — including cluster lifecycle, node pools, autoscaling, ingress, service mesh, secrets, and backup/restore. Observability : Instrument services and infra with … scanning, and guardrails into pipelines and Terraform modules. Key Skills and Experience: Proven experience operating production systems on a major cloud (AWS/Azure/GCP) with solid cloud fundamentals (networking, IAM, storage, compute, HA/DR). Hands‐on IaC with Terraform (modules, state, CI validation, policy ...

detection), enabling composable, reviewed changes across environments. Run scalable compute: Stand up and operate container platforms — Kubernetes (incl. EKS, AKS, GKE), ECS, and Azure Container Instances (ACI) — including cluster lifecycle, node pools, autoscaling, ingress, service mesh, secrets, and backup/restore. Observability : Instrument services and infra with … scanning, and guardrails into pipelines and Terraform modules. Key Skills and Experience: Proven experience operating production systems on a major cloud (AWS/Azure/GCP) with solid cloud fundamentals (networking, IAM, storage, compute, HA/DR). Hands‐on IaC with Terraform (modules, state, CI validation, policy ...

extend automation scripts to cover regression, integration, and end-to-end scenarios Ensure automation tests are integrated into CI/CD pipelines (Azure DevOps) for continuous testing Troubleshoot, optimise, and improve the reliability of automated test suites Provide automation coverage across multiple projects Design, write, and execute manual … value of manual testing in delivering high quality software Strong understanding of software testing principles, QA methodologies and SDLC Exposure to Cloud environments (Azure, AWS) Agile environment experience (Scrum/Kanban) Excellent communication skills, able to explain technical detail clearly Proven experience balancing multiple projects simultaneously and working ...