1,076 to 1,100 of 4,144 Microsoft-Azure Jobs

record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to work in a hybrid, collaborative environment. Nice to Have More ❯

record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to work in a hybrid, collaborative environment. Nice to Have More ❯

as code experience utilising Terraform Knowledge of container technologies Extensive experience with AWS Security Services & Governance and Information Security Best Practices Experience with other enterprise cloud platforms e.g. Azure Kubernetes experience Identity & Access Management deployment and administration (e.g. Okta, Entra ID) Web application security technologies WAF, Bot Protection, DDOS Protection, etc. Adaptable, passionate and a team-player Division More ❯

record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to work in a hybrid, collaborative environment. Nice to Have More ❯

record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to work in a hybrid, collaborative environment. Nice to Have More ❯

as code experience utilising Terraform Knowledge of container technologies Extensive experience with AWS Security Services & Governance and Information Security Best Practices Experience with other enterprise cloud platforms e.g. Azure Kubernetes experience Identity & Access Management deployment and administration (e.g. Okta, Entra ID) Web application security technologies – WAF, Bot Protection, DDOS Protection, etc. Adaptable, passionate and a team-player Division More ❯

Expertise in version control (monorepos), documentation, CI/CD pipelines, code reviews, package and artifact management (Cargo, PyPI, NPM), build systems, containerization (Docker), and cloud platforms (AWS preferred, Azure/GCP a plus). Preferred Skills • Large Language Models (LLMs): Experience with LLM inference servers, major frameworks (LangChain, LlamaIndex), RAG techniques, vector databases, prompt engineering, token optimization, and More ❯

record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to work in a hybrid, collaborative environment. Nice to Have More ❯

service management Support continuous improvement and optimisation of monitoring tools and processes Skills & Experience Strong background in IT infrastructure (Windows, Unix, Linux) and cloud platforms like AWS and Azure Hands-on experience with monitoring and observability tools, especially Splunk , ITSI , Dynatrace , AppDynamics , and synthetic monitoring Familiarity with enterprise systems including WebLogic , Apache , Oracle , and SQL Ability to diagnose More ❯

PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, youll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set up the CI/CD pipelines that enable rapid ML experimentation and deployment. The role is full-time, 5 days a week in their London office. What More ❯

development Prior experience leading a team of developers in an agile environment. Strong understanding of software design patterns, architecture, and best practices. Experience with cloud platforms (e.g., AWS, Azure) and DevOps practices. Excellent problem-solving skills and the ability to think critically and logically. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional More ❯

Network Engineers & Security Analysts (Virginia/Maryland) • Software Developers & DevOps Engineers (Virginia/Maryland) Ideal Candidates Have Experience With: • Windows/Linux environments • Active Directory, SCCM, VMware • AWS, Azure, or hybrid cloud environments • Scripting, automation, CI/CD tools Why Join Kavaliro? • Access to exclusive cleared roles • Long-term contracts and career stability • Competitive salaries and benefits Pay More ❯

affect type-accredited VPC environments. Be able to support security-related matters, including ISSO/ISSE tasks, ATO, ATT, ACSA, AWS' and FedRAMP packages. Experience with AWS or Azure Cloud infrastructure platform Highly Motivated Excellent Written and Verbal Communication More ❯

tooling experience (CyberArk advantageous) Agile delivery with hands-on Scrum experience Analytical mindset - resourceful, flexible, and constructively critical Highly Desirable Git version control & automated testing frameworks Cloud technologies (Azure, vRealize, CI/CD pipelines) Active Directory architecture & management Infrastructure design documentation to banking standards Location: City of London (2 days a week on site) Duration: 6-month initial More ❯

production environments Strong problem-solving and analytical thinking skills Additionally, the following desirable skills and experience will be advantageous: Experience with cloud platforms such as AWS, GCP, or Azure Familiarity with deep learning architectures and frameworks Knowledge of natural language processing (NLP) or computer vision (CV) Prior experience working in a remote or distributed team environment More ❯

Engineering) or equivalent experience Experience working directly with traders and quantitative analysts in fast-paced environments Nice to have: Additional languages: C++/Python Cloud or grid computing (Azure/AWS) Data Science/AI applications in financial markets Full-stack web development exposure ?? Join a global financial powerhouse (150,000+ employees, 2,300 offices worldwide) that invests More ❯

Engineering) or equivalent experience Experience working directly with traders and quantitative analysts in fast-paced environments Nice to have: Additional languages: C++/Python Cloud or grid computing (Azure/AWS) Data Science/AI applications in financial markets Full-stack web development exposure Join a global financial powerhouse (150,000+ employees, 2,300 offices worldwide) that invests More ❯

input on enhancements to existing cloud products and features Qualifications: DoD cybersecurity experience Experience with AWS GovCloud Experience with containerization technologies and orchestration tools like Kubernetes Experience with Azure Familiar with DoD Accreditation Processes Familiar working in a SCIF environment Work well with customer solutions and architects Years of experience: 5 + years of direct experience in cloud More ❯

in a collaborative environment and taking feedback. Desirable: MSc in a relevant discipline. Exposure to NLP, computer vision, or recommendation systems. Familiarity with cloud services (AWS, GCP, or Azure). Experience with Git and modern development practices. Interest in deploying models into real-world applications. What’s on Offer Competitive salary with room for growth. Hybrid working model More ❯

meeting deadlines Excellent communication skills for cross-team collaboration Desirable skills (not essential, but a big plus): SSAS, SSRS, SSIS Kafka, MSK, Snowflake, Aurora DB, SNS AWS or Azure database management If you're ready to join a company that challenges limits, delivers excellence, and offers a truly rewarding career path, we want to hear from you. Hit More ❯

pipelines. Implement a new delivery roadmap. Contribute to the development of a new Databricks system in AWS (AWS experience is preferred but they are open to managers with Azure experience). Cost optimisation. Establish data governance frameworks for secure handling of delivery information. Requirements of the Data Engineering Manager: 6+ years experience in a hands on data engineer More ❯

is welcome). Experience with data manipulation and transformation using Pandas . Familiarity with ETL/ELT processes and data warehousing concepts. Understanding of cloud platforms (AWS or Azure). Basic knowledge of Git and GitHub for version control and collaboration. Awareness of best practices for managing credentials and sensitive data (e.g., using .gitignore). Experience managing Python More ❯

or Django/Flask) • Design, develop, and own features end-to-end • Influence the evolution of our tech stack • Work with cutting-edge tools: GCP/AWS/Azure, MySQL, Firestore, Docker/Kubernetes, CI/CD, IaC • Champion security best practices in a regulated space • Explore AI & machine learning (LLMs, LangChain, TensorFlow, PyTorch) What you’ll bring More ❯

or Django/Flask) • Design, develop, and own features end-to-end • Influence the evolution of our tech stack • Work with cutting-edge tools: GCP/AWS/Azure, MySQL, Firestore, Docker/Kubernetes, CI/CD, IaC • Champion security best practices in a regulated space • Explore AI & machine learning (LLMs, LangChain, TensorFlow, PyTorch) What you’ll bring More ❯

is welcome). Experience with data manipulation and transformation using Pandas . Familiarity with ETL/ELT processes and data warehousing concepts. Understanding of cloud platforms (AWS or Azure). Basic knowledge of Git and GitHub for version control and collaboration. Awareness of best practices for managing credentials and sensitive data (e.g., using .gitignore). Experience managing Python More ❯