3,426 to 3,450 of 5,259 Azure Jobs

for embedded and cross-platform desktop development. Skilled in Python and Bash for tooling and test automation. Experience with CMake, make, and CI/CD systems (e.g., GitLab CI, Azure Pipelines). Familiarity with Docker for embedded software builds and containerised testing. Confident debugging across firmware, OS, and application layers. Deep understanding of Embedded Linux (Buildroot) , system configuration, and More ❯

process design, automation frameworks, and integration with broader IT ecosystems. Experience in designing secure, scalable, and reusable automation solutions. Excellent stakeholder management and communication skills. Familiarity with cloud platforms (Azure, AWS, or GCP) would be beneficial. This is a superb opportunity for a talented Solution Architect to make a meaningful impact in a growing automation function - joining a team More ❯

process design, automation frameworks, and integration with broader IT ecosystems. Experience in designing secure, scalable, and reusable automation solutions. Excellent stakeholder management and communication skills. Familiarity with cloud platforms (Azure, AWS, or GCP) would be beneficial. This is a superb opportunity for a talented Solution Architect to make a meaningful impact in a growing automation function - joining a team More ❯

shaping a modern data platform from the ground up. Lead and mentor - guide two Data Engineers and help grow a high-performing team. Modern tech stack - Databricks, Unity Catalog, Azure, SQL, Python - with room to innovate. Attractive package - up to £80k base + car allowance + bonus + benefits. Hybrid working - 2-3 days/week in offices across More ❯

GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone, Weaviate, Semantic Search, API Development, AI Deployment, Model Serving, AI Automation, Early Stage Startup, AI Startups, Tech Startup, Machine More ❯

. Solid understanding of databases (SQL/NoSQL) and distributed systems . Proven experience or projects involving AI/ML techniques and their applications. Familiarity with cloud platforms (AWS, Azure, or GCP). Interest in IoT, energy systems, or real-time data streaming . A track record of innovation, problem-solving, and standing out from the crowd . What More ❯

Methodical and detail-oriented approach to planning and execution. Ability to work under pressure and manage competing priorities. Desirable Qualifications: Familiarity with DevOps practices and cloud-hosted platforms (AWS, Azure, SAS PaaS). Knowledge of scheduling tools - Airflow Exposure to SAS Migration Factory Delivery Models. The successful candidate will also need to be SC Vetted. All profiles will be More ❯

Experience in development of integrated (hardware and software) medical devices is a plus Experience with Containers, DevOps environments is a plus. Working knowledge of software development tools such as Azure DevOps, Git, etc. is a plus. Strong understanding of Continuous Delivery and Agile development is a plus. Experience working effectively with international teams in Europe, India and the US. More ❯

targets Experience within one or more of our core technology areas: Software Engineering, Data, AI & Machine Learning, ERP (SAP/Oracle/Salesforce/MS Dynamics), Cloud (AWS/Azure/GCP), or Data Centre software/hardware Perks and Benefits Holiday – 30 days annual leave, plus a 6-week sabbatical after 5 years of service Wellbeing – Hybrid working More ❯

targets Experience within one or more of our core technology areas: Software Engineering, Data, AI & Machine Learning, ERP (SAP/Oracle/Salesforce/MS Dynamics), Cloud (AWS/Azure/GCP), or Data Centre software/hardware Perks and Benefits Holiday – 30 days annual leave, plus a 6-week sabbatical after 5 years of service Wellbeing – Hybrid working More ❯

Responsibilities Lead the design, development, and testingof secure, scalable systems using Java with modern front-end frameworks (e.g., React) Architect and maintainAPIs, data pipelines, and cloud-native solutions(AWS, Azure, private cloud) Drive adoption ofDevOps practices CI/CD, containers, infrastructure-as-code Guide and mentor engineers, promotingbest practice, clean coding, and agile delivery Collaborate with stakeholders and clients More ❯

targets Experience within one or more of our core technology areas: Software Engineering, Data, AI & Machine Learning, ERP (SAP/Oracle/Salesforce/MS Dynamics), Cloud (AWS/Azure/GCP), or Data Centre software/hardware Perks and Benefits Holiday – 30 days annual leave, plus a 6-week sabbatical after 5 years of service Wellbeing – Hybrid working More ❯

of a company that invests in your future and supports your ambitions. What You'll Bring to the Table: Strong development experience with .NET/C# Solid understanding of Azure cloud services Proficiency in JavaScript and modern frameworks like React.js , Angular.js , or Vue.js Deep knowledge of Object-Oriented Programming Bonus Skills That'll Make You Stand Out: Experience with More ❯

targets Experience within one or more of our core technology areas: Software Engineering, Data, AI & Machine Learning, ERP (SAP/Oracle/Salesforce/MS Dynamics), Cloud (AWS/Azure/GCP), or Data Centre software/hardware Perks and Benefits Holiday – 30 days annual leave, plus a 6-week sabbatical after 5 years of service Wellbeing – Hybrid working More ❯

targets Experience within one or more of our core technology areas: Software Engineering, Data, AI & Machine Learning, ERP (SAP/Oracle/Salesforce/MS Dynamics), Cloud (AWS/Azure/GCP), or Data Centre software/hardware Perks and Benefits Holiday – 30 days annual leave, plus a 6-week sabbatical after 5 years of service Wellbeing – Hybrid working More ❯

ll need Team-based experience in Cloud or DevOps environments, working within Agile frameworks like Scrum, Kanban, or Lean Familiarity with CI/CD pipelines using tools such as Azure DevOps and GitHub Actions, and provisioning frameworks like ARM templates or Terraform Hands-on exposure to DevOps tooling (automation, orchestration, testing), with awareness of Jenkins or GitLab, and security More ❯

data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D and 3D data formats (e.g., OBJ, FBX, glTF), point clouds, and large-scale computer vision datasets-or More ❯

data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D and 3D data formats (e.g., OBJ, FBX, glTF), point clouds, and large-scale computer vision datasets-or More ❯

ll need Team-based experience in Cloud or DevOps environments, working within Agile frameworks like Scrum, Kanban, or Lean Familiarity with CI/CD pipelines using tools such as Azure DevOps and GitHub Actions, and provisioning frameworks like ARM templates or Terraform Hands-on exposure to DevOps tooling (automation, orchestration, testing), with awareness of Jenkins or GitLab, and security More ❯

ll need Team-based experience in Cloud or DevOps environments, working within Agile frameworks like Scrum, Kanban, or Lean Familiarity with CI/CD pipelines using tools such as Azure DevOps and GitHub Actions, and provisioning frameworks like ARM templates or Terraform Hands-on exposure to DevOps tooling (automation, orchestration, testing), with awareness of Jenkins or GitLab, and security More ❯

ll need Team-based experience in Cloud or DevOps environments, working within Agile frameworks like Scrum, Kanban, or Lean Familiarity with CI/CD pipelines using tools such as Azure DevOps and GitHub Actions, and provisioning frameworks like ARM templates or Terraform Hands-on exposure to DevOps tooling (automation, orchestration, testing), with awareness of Jenkins or GitLab, and security More ❯

ll need Team-based experience in Cloud or DevOps environments, working within Agile frameworks like Scrum, Kanban, or Lean Familiarity with CI/CD pipelines using tools such as Azure DevOps and GitHub Actions, and provisioning frameworks like ARM templates or Terraform Hands-on exposure to DevOps tooling (automation, orchestration, testing), with awareness of Jenkins or GitLab, and security More ❯

and cross-platform desktop development Strong scripting experience in Python and Bash for tooling and test automation Experience with CMake, make, and CI/CD systems (e.g., GitLab CI, Azure Pipelines) Familiarity with Docker for embedded software builds and containerised testing Confident in debugging across firmware, OS and application layers Deep understanding of Embedded Linux (Buildroot), system configuration and More ❯

data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D and 3D data formats (e.g., OBJ, FBX, glTF), point clouds, and large-scale computer vision datasets-or More ❯

data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D and 3D data formats (e.g., OBJ, FBX, glTF), point clouds, and large-scale computer vision datasets-or More ❯