1,701 to 1,725 of 7,056 Microsoft-Azure Jobs

applications using ASP.NET Core MVC, Blazor, or similar technologies. Knowledge of front-end technologies like HTML, CSS, and JavaScript is also valuable. Experience with cloud platforms such as Azure or AWS, including services for hosting applications, databases, and serverless functions. Familiarity with DevOps practices and tools like Azure DevOps or Jenkins is highly desirable. Demonstrated experience More ❯

want scope for growth without going “post-technical.” What you’ll do Design and build modern data platforms using Databricks, Apache Spark, Snowflake, and cloud-native services (AWS, Azure, or GCP). Develop robust pipelines for real-time and batch data ingestion from diverse and complex sources. Model and optimise data for performance, visibility, and downstream analytics/… also useful). Experience integrating large, messy datasets into reliable, scalable data products. Strong understanding of data modelling, orchestration, and automation. Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes). A craftsman’s mindset: you care about code quality, maintainability, and doing things the right way. What you’ll get at Sahaj Unlimited More ❯

want scope for growth without going “post-technical.” What you’ll do Design and build modern data platforms using Databricks, Apache Spark, Snowflake, and cloud-native services (AWS, Azure, or GCP). Develop robust pipelines for real-time and batch data ingestion from diverse and complex sources. Model and optimise data for performance, visibility, and downstream analytics/… also useful). Experience integrating large, messy datasets into reliable, scalable data products. Strong understanding of data modelling, orchestration, and automation. Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes). A craftsman’s mindset: you care about code quality, maintainability, and doing things the right way. What you’ll get at Sahaj Unlimited More ❯

applications using ASP.NET Core MVC, Blazor, or similar technologies. Knowledge of front-end technologies like HTML, CSS, and JavaScript is also valuable. Experience with cloud platforms such as Azure or AWS, including services for hosting applications, databases, and serverless functions. Familiarity with DevOps practices and tools like Azure DevOps or Jenkins is highly desirable. Demonstrated experience More ❯

applications using ASP.NET Core MVC, Blazor, or similar technologies. Knowledge of front-end technologies like HTML, CSS, and JavaScript is also valuable. Experience with cloud platforms such as Azure or AWS, including services for hosting applications, databases, and serverless functions. Familiarity with DevOps practices and tools like Azure DevOps or Jenkins is highly desirable. Demonstrated experience More ❯

applications using ASP.NET Core MVC, Blazor, or similar technologies. Knowledge of front-end technologies like HTML, CSS, and JavaScript is also valuable. Experience with cloud platforms such as Azure or AWS, including services for hosting applications, databases, and serverless functions. Familiarity with DevOps practices and tools like Azure DevOps or Jenkins is highly desirable. Demonstrated experience More ❯

applications using ASP.NET Core MVC, Blazor, or similar technologies. Knowledge of front-end technologies like HTML, CSS, and JavaScript is also valuable. Experience with cloud platforms such as Azure or AWS, including services for hosting applications, databases, and serverless functions. Familiarity with DevOps practices and tools like Azure DevOps or Jenkins is highly desirable. Demonstrated experience More ❯

with at least 3 years in a lead capacity. Proficient in SQL, Python, and big data processing frameworks (e.g., Spark, Flink). Strong experience with cloud platforms (AWS, Azure, GCP) and related data services. Hands-on experience with data warehousing tools (e.g., Snowflake, Redshift, BigQuery), Databricks running on multiple cloud platforms (AWS, Azure and GCP) and More ❯

DevOps Lead - Multi Cloud environment (Azure and AWS) Prestigious client Hybrid working - Manchester I'm on the hunt for a cracking DevOps Lead to support a large-scale IaC Automation project, driving the design and delivery of automated cloud infrastructure pipelines across AWS and Azure.My client operates a complex multi-cloud environment and is expanding its DevOps capability … pipelines and repositories. Assess current DevOps maturity, toolchains, and automation opportunities. Develop reusable modules using Terraform, CloudFormation, and ARM templates. Build and optimise CI/CD pipelines with Azure DevOps, GitHub Actions, and AWS CodePipeline. Integrate configuration management (Ansible) and monitoring solutions. Produce detailed documentation and deliver knowledge transfer to internal teams You will need Solid DevOps/ More ❯

SDLC and Cloud Infrastructure Management: Oversee the full software development life cycle (SDLC), including planning, development, testing, deployment, and maintenance, ensuring alignment with best practices. Utilize AWS and Azure cloud services effectively for application hosting, scaling, and management, implementing cost-effective and secure cloud-based solutions. Lead the implementation of CI/CD pipelines using tools like Jenkins … or Azure DevOps for streamlined deployments and continuous integration. Client Engagement and Technical Analysis: Collaborate with clients to understand their business needs and translate them into detailed technical requirements and architecture diagrams. Communicate complex technical solutions effectively to both technical and non-technical stakeholders, ensuring alignment and understanding. Participate in project planning sessions, contributing to the development of More ❯

to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and … dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, or GCP) and basic distributed systems concepts Strong problem-solving mindset with a passion for building practical, scalable AI solutions Excellent teamwork and communication skills Full right to work More ❯

to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and … dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, or GCP) and basic distributed systems concepts Strong problem-solving mindset with a passion for building practical, scalable AI solutions Excellent teamwork and communication skills Full right to work More ❯

ll be very hands on in the role , with development and architecture responsibilities. As you'll regularly be involved in coding (their current tech stack is .Net, SQL, Azure, Microservices and VueJS ). However, you'll have real autonomy in this role where you're able to suggest and implement technologies you believe would help benefit the product. … You'll ideally have commercial experience with the following; ** Software Architecture ** Cloud Services (ideally Azure, but open to AWS and GCP) ** Strong programming experience with C# ** Full Stack Development with modern JS libraires (Vue, React or Angular) The following is highly desirable; ** Working with SaaS Products ** DevOps/SRE experience ** Interest or experience in AI This role would More ❯

or a related technical field • At least 4 years of professional work experience with cloud technology and with more than one cloud service provider (CSP) platform (e.g., among Azure, AWS, GCP, and OCI) • Hands-on experience working with cloud architecture and tools • Experience in migration of enterprise applications to the cloud • Experience in designing, planning, implementing, and supporting … major cloud service providers/platforms • Experience working for and/or with the federal government • Experience with multiple cloud storage technologies (e.g., AWS EBS, S3, S3IA, Glacier; Azure Blob, Azure File; Google Cloud Storage, Filestore, etc.) and knowledge of the security, cost, and performance differences and implications • Experience with capacity planning, performance analysis, disaster recovery More ❯

proofs of concept. Responsibilities include: • Developing and maintaining the organisation’s LLM operations platform, including orchestration and observability. • Designing and deploying AI solutions using Langfuse, LiteLLM, OpenAI, and Azure OpenAI. • Working closely with engineering teams to embed AI capabilities within core products. • Implementing and integrating knowledge graph systems such as Neo4j. • Working within Kubernetes, .NET/C#/… think strategically about architecture and commercial outcomes. Essential experience and skills: • Demonstrable production experience with LLM and machine learning systems. • Hands-on knowledge of Langfuse, LiteLLM, OpenAI, or Azure OpenAI. • Familiarity with graph databases, ideally Neo4j. • Experience in cloud environments, containerisation, and CI/CD pipelines. • Strong background in either .NET/C#/SQL or PHP/ More ❯

ll be very hands on in the role , with development and architecture responsibilities. As you'll regularly be involved in coding (their current tech stack is .Net, SQL, Azure, Microservices and VueJS ). However, you'll have real autonomy in this role where you're able to suggest and implement technologies you believe would help benefit the product. … You'll ideally have commercial experience with the following; ** Software Architecture ** Cloud Services (ideally Azure, but open to AWS and GCP) ** Strong programming experience with C# ** Full Stack Development with modern JS libraires (Vue, React or Angular) The following is highly desirable; ** Working with SaaS Products ** DevOps/SRE experience ** Interest or experience in AI This role would More ❯

remote working options offering a salary of £500 - £650 per day (Inside IR35) and benefits. You Will Be Responsible For: Designing and implementing cloud-based data architectures using Azure services. Building robust and scalable data pipelines to support complex, high-volume processing. Deploying and managing containerised workloads through Kubernetes, Helm, and Docker. Automating infrastructure using Infrastructure-as-Code … Data Engineer, Data Platform Engineer, Data Architect, Data Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with More ❯

remote working options offering a salary of £500 - £650 per day (Inside IR35) and benefits. You Will Be Responsible For: Designing and implementing cloud-based data architectures using Azure services. Building robust and scalable data pipelines to support complex, high-volume processing. Deploying and managing containerised workloads through Kubernetes, Helm, and Docker. Automating infrastructure using Infrastructure-as-Code … Data Engineer, Data Platform Engineer, Data Architect, Data Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with More ❯

remote working options offering a salary of £500 - £650 per day (Inside IR35) and benefits. You Will Be Responsible For: Designing and implementing cloud-based data architectures using Azure services. Building robust and scalable data pipelines to support complex, high-volume processing. Deploying and managing containerised workloads through Kubernetes, Helm, and Docker. Automating infrastructure using Infrastructure-as-Code … Data Engineer, Data Platform Engineer, Data Architect, Data Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with More ❯

within a fast paced and everchanging environment. Attention to detail with a pragmatic and enthusiastic attitude to work. Desirable Skills and Technologies: Experience and knowledge of AWS/Azure and Azure Virtual Desktop. Python or Java, React, Go Familiarity with deploying applications to cloud architecture and technologies in AWS environments. Experience with web application services Experience More ❯

Build of web applications with browser and MS Teams compatibility. - Oversee UI and backend deployments in SIT/UAT/Production environments. - Manage CI/CD pipelines using Azure DevOps. Access & Security Management - Implement authorization code flows and manage access tokens for user profile extraction. - Coordinate with cloud engineering teams to provision secure access to Databricks Mosaic AI … bug fixes, and deployment blockers. -Troubleshoot integration failures and lead resolution efforts with internal and external stakeholders. Your Profile Essential skills/knowledge/experience: Strong proficiency in Azure Data Services, Databricks, Snowflake, ServiceNow APIs, SAP connectors, Mulesoft, RESTful APIs, OAuth2, SQL, Python, .NET, NodeJS Experience with DevOps tools (Azure DevOps, Terraform, CI/CD pipelines More ❯

with per-team or per-project isolation Support libraries, kernels, and runtime environments for data science users -Cloud & Platform Architecture Design hybrid/cloud-native architectures using RedHatOpenShift, Azure Architect storage strategies (e.g., CephFS, S3-compatible) for notebooks and datasets Build CI/CD pipelines (Jenkins, GitHub Actions,AzureDevops) for deploying platform updates Implement backup, DR, and compliance … hands-on with OpenShift or Kubernetes in production environments Strong experience administering JupyterHub or Kubeflow Notebooks Proficient with YAML, Helm, and Operator-based deployments Experience with cloud platforms ( Azure, or RedHat OpenShift) Familiarity with storage integration (NFS, Ceph, S3) and dynamic volume provisioning Solid understanding of RBAC, IAM, and secure networking (TLS, ingress/egress rules) Preferred Qualifications More ❯

remote and hybrid Agile teams. Exposure to regulatory or compliance-driven sectors (e.g., insurance, financial services, health). Experience supporting delivery within cloud-native environments (e.g., GCP, AWS, Azure). Working knowledge of Jira Advanced Roadmaps or similar portfolio planning tools. Proficiency with Agile delivery tools (e.g., Jira, Azure DevOps, Trello). Strong understanding of Agile More ❯

Likewise, if you are a bit more experienced then please apply to be considered. Day to day you will be working with .Net, Umbraco, Dynamics365, ASP.Net Microservices Architecture, Azure DevOps Responsibilities: Working on key projects within the business. Constantly challenging, finding more innovative ways of doing things Ensuring a high level of customer experience Making sure that quality … standards are achieved Stakeholder Communication Working with Azure Cloud Infrastructure Develop quality software and web applications Analyse and maintain existing software applications Design highly scalable, testable code Discover and fix programming bugs Experience needed: Current hands on coding experience with C#, .Net, ASP.Net, MVC SOLID, DRY principles API Integration Degree in Computer Science related subject SQL database or More ❯

Machine Learning Engineer Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that’s reinventing … training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that’s fusing AI, science, and engineering to push the boundaries of what’s possible. All Machine Learning Engineer positions More ❯