2,351 to 2,375 of 4,741 Permanent Microsoft Azure Jobs

in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced More ❯

Maths, 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 ❯

learning Strong skills in machine learning techniques and statistical modeling (preferred: experience with sampling methods and LLMs) Hands-on proficiency with SQL, Python, and other data-focused programming languages (Azure experience is a plus) Proven problem-solving and analytical skills Ability to work both independently and as part of a team About One Federal Solution (OFS): OFS is a More ❯

in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced More ❯

in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced More ❯

in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced More ❯

Maths, 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 ❯

but not mandatory). Must be eligible for SC security clearance. Experience working in defense, government, or high-security environments is a plus. Knowledge of cloud security architectures (AWS, Azure, GCP) is advantageous. More ❯

will: Design, develop, and test software solutions Utilize open-source libraries and components Use tools like GitLab for continuous integration, ensuring quality and security Deploy systems across public (AWS, Azure) and private clouds Engage throughout the software lifecycle, from concept to maintenance Lead teams and manage client engagement (depending on experience) The Fit: We are interested in Senior Engineers More ❯

Protocol (MCP) integration and server development Big Data & Cloud Infrastructure Knowledge of building and deploying cloud based applications Hands-on experience with cloud data platforms (AWS/GCP/Azure) Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms) Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes Knowledge of containerization (Docker/Kubernetes) and infrastructure More ❯

but not mandatory). Must be eligible for SC security clearance. Experience working in defense, government, or high-security environments is a plus. Knowledge of cloud security architectures (AWS, Azure, GCP) is advantageous. More ❯

of 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. If More ❯

of experience in Okta architecture and engineering. Strong knowledge of IAM protocols: SAML, OAuth, OpenID Connect. Proficient in PKI concepts: key generation, certificate management, revocation. Experience with IAM platforms: Azure Entra, Okta, Active Directory. Proficiency in scripting languages: Terraform, Python, PowerShell. Security Understanding: Strong grasp of security principles and best practices. Knowledge of cryptography and key management techniques. Familiarity More ❯

open-source libraries and components Utilise CI/CD tools (e.g., GitLab) to monitor and ensure software quality and security Deploy software systems across various environments, including public (AWS, Azure) and private cloud Engage in full software lifecycle: project concept, requirements analysis, architecture design, implementation, delivery, training, and maintenance Lead teams and manage client engagements (depending on experience) Requirements More ❯

Experience required Proven consulting background — shaping and delivering solutions at enterprise scale Strong software engineering and architecture expertise (Java, .Net, Python or similar) Deep knowledge of cloud platforms (AWS, Azure), SaaS and PaaS architectures Track record in pre-sales, business development, and growing client accounts Experience leading teams of architects and engineers, with a focus on coaching and people More ❯

experiences. Essential Skills & Experience: Proven experience in a DevOps, Infrastructure, or Systems Engineering role. Strong Python scripting skills for automation and workflow optimisation. Hands-on experience with cloud platforms (Azure, AWS, Kubernetes, Docker, etc.). Comfortable leading customer-facing meetings and managing client expectations. Knowledge of infrastructure deployment, networking standards, and server administration. Strong troubleshooting and analytical skills. Desirable More ❯

apply advanced AI technologies to enhance our offerings and capabilities. Required Skills & Qualifications: Proven experience in designing, developing, and maintaining secure applications on major cloud platforms (e.g., AWS, GCP, Azure). Strong programming skills in Python, SQL, and other relevant languages. Ability to build AI-driven solutions using large language models (LLMs), and techniques such as retrieval-augmented generation More ❯

who can evidence deliver of exceptional customer service and work efficiently and effectively whilst adhering to established IT controls. Ideally, you will have in depth operational experience in MS Azure cloud services, maintaining and supporting AD environments, end to end network solutions, Scripting eg Powershell and backups eg Arcserve/Veeam. It will be desirable for experience with AWS More ❯

experience in DevOps, Site Reliability Engineering, or blockchain infrastructure. Deep understanding of Forta architecture, scan nodes, and agent deployment. Proficiency with Linux, Docker, and cloud platforms (AWS, GCP, or Azure). Strong scripting skills in Bash, Python, or Node.js. Experience with Git, CI/CD pipelines, and observability tools (e.g., Prometheus, Grafana). Solid understanding of Ethereum and EVM More ❯

experiences. Essential Skills & Experience: Proven experience in a DevOps, Infrastructure, or Systems Engineering role. Strong Python scripting skills for automation and workflow optimisation. Hands-on experience with cloud platforms (Azure, AWS, Kubernetes, Docker, etc.). Comfortable leading customer-facing meetings and managing client expectations. Knowledge of infrastructure deployment, networking standards, and server administration. Strong troubleshooting and analytical skills. Desirable More ❯

s with 8 years, master's with 6 years, or PhD with 4 years Deep expertise in big data platforms (e.g., Hadoop, Spark, Kafka) and multi-cloud environments (AWS, Azure, GCP) Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch) Strong programming skills in Python, Java, or Scala Familiarity with data pipeline development and real-time data processing More ❯

who can evidence deliver of exceptional customer service and work efficiently and effectively whilst adhering to established IT controls. Ideally, you will have in depth operational experience in MS Azure cloud services, maintaining and supporting AD environments, end to end network solutions, scripting e.g. Powershell and backups e.g. Arcserve/Veeam. It will be desirable for experience with AWS More ❯

incomplete or messy data A consulting approach - proactive, collaborative, and detail-driven Nice to Have: Experience with UK Local Government datasets or public sector systems Familiarity with cloud platforms (Azure, AWS, GCP) Knowledge of spatial data tools (ArcGIS, QGIS) Experience with document management systems and data validation processes What's in it for You? Salary up to More ❯

communication processes. Work closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and More ❯

communication processes. Work closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and More ❯