351 to 375 of 954 Azure Jobs in the Thames Valley

APIs, and workflow automation. Excellent stakeholder management and communication skills. Experience with Agile tools such as Jira and Confluence. Desirable: London Market or specialty insurance background. Cloud exposure (AWS, Azure, GCP). Experience with low-code/no-code configuration or automation tools. What’s on Offer: Salary £75,000-£120,000 + bonus & benefits. Hybrid working - approx. More ❯

intelligence and its application within technology solutions. Nice to Have: • Previous experience in the aviation, travel, or transport sectors. • Exposure to cloud-based or data-driven projects (e.g., AWS, Azure, GCP). • PMP, PRINCE2, or Agile certifications. More ❯

intelligence and its application within technology solutions. Nice to Have: • Previous experience in the aviation, travel, or transport sectors. • Exposure to cloud-based or data-driven projects (e.g., AWS, Azure, GCP). • PMP, PRINCE2, or Agile certifications. More ❯

similar). Experience leading multidisciplinary data teams in consulting or enterprise environments. Excellent communication skills with technical and non-technical stakeholders. Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI/CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales More ❯

development. Collaborate with cross-functional teams including product, DevOps, and data engineering to deliver end-to-end functionality that meets regulatory and business requirements. Leverage modern cloud services (AWS, Azure, or GCP) to deploy, monitor, and scale distributed systems in production environments. Establish and uphold engineering best practices, including CI/CD pipelines, automated testing, and peer code reviews More ❯

Enterprise Architect within the London Insurance Market (Lloyd’s, Managing Agents, or Syndicates). Strong background in software and application architecture , ideally within .NET, Java, or cloud-native environments (Azure/AWS) . Deep understanding of insurance systems — such as policy administration, claims, exposure management, data platforms, and integration frameworks. Experience conducting technology landscape reviews and defining enterprise-level More ❯

resonate with diverse audiences—from technical architects to CDOs. Deep Technical Expertise Across Data & AI: You possess comprehensive technical knowledge spanning the entire Data & AI landscape, including cloud platforms (Azure, Databricks, Snowflake, AWS &GCP). Knowledge of AI/ML, Gen AI and Agentic AI capabilities: You understand not just the "what" but the "how" and "why" behind these More ❯

Java, or similar languages for test automation. Experience with tools like Selenium, Appium, Espresso, and manual test management systems. Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions, Azure DevOps). Proven background in testing device OS (Android/Linux), APIs, and connected interfaces. Beneficial: Experience in medical device software, video protocol testing, and regulatory standards (e.g., IEC More ❯

a bug or issue tracking system, and debuggers Experience of developing complex software applications Experience developing control systems Python Distributed systems Database interaction/SQL queries Cloud infrastructure (e.g. Azure/AWS) Our client is offering a hybrid working arrangement with 3 days in their offices and 2 days from home. There is flexible start and finish times so More ❯

querying, validation, and analysis. Proven experience gathering and translating business requirements in data-focused environments. Familiarity with data modelling, ETL processes, and pipeline design. Experience with cloud platforms (AWS, Azure, GCP) and data warehousing tools. Exposure to BI tools (Power BI, Tableau, Qlik). Understanding of version control (e.g., Git) and collaborative development workflows. Experience or knowledge of Foundry More ❯

Proven experience in pipeline migration & optimization Excellent communication skills—technical and non-technical audiences Comfortable in fast-paced, client-facing environments Nice-to-Haves: Unity Catalog experience Certifications (Databricks, Azure, AWS) Industry experience in manufacturing or supply chain Exposure to pre-sales or proposal work 🌟 Why Join Us? Be part of a fast-growing team with a clear vision More ❯

neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM, and engineering teams. Excellent communication and More ❯

Machine Learning, Breakthrough and Social Impact partner Winner of 3X AWS AI/ML Partner of the Year award Preferred and Premier Partner of AWS, Google, NVIDIA, Snowflake, MS Azure Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and other leading analyst firms Recognized as an AIFinTech100 Company, 2022 by InsurTech Winner of Best More ❯

high-impact opportunities and measure value delivered. Tech stack is open for this hire to implement best practices but this is roughly what they are currently using Python, SQL, Azure (AWS or GCP if also fine) + experience with LLMs and GenAI is beneficial. Experience within a PE-backed or high-growth company is a strong advantage (but not 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 ❯

logging , and maintaining observable integration environments. Desirable Experience Prior experience integrating with financial or ERP systems. Hands-on development of Open APIs with Swagger/OpenAPI documentation. Familiarity with Azure services and cloud-based automation tools (e.g., Power Automate, Zapier). Exposure to IoT or Telematics platforms and data handling. Awareness of standards like ISO 27001 , SOC 2 , or More ❯

designing and delivering complex AI, ML, or data-driven solutions. Ideally within a consulting or client-facing environment. Strong hands-on understanding of modern data architecture, cloud platforms (AWS, Azure, or GCP), and ML frameworks. Ability to translate between business and technical domains, influencing C-suite, product, and engineering teams alike. Solid knowledge of MLOps, data pipelines, APIs, and More ❯

logging , and maintaining observable integration environments. Desirable Experience Prior experience integrating with financial or ERP systems. Hands-on development of Open APIs with Swagger/OpenAPI documentation. Familiarity with Azure services and cloud-based automation tools (e.g., Power Automate, Zapier). Exposure to IoT or Telematics platforms and data handling. Awareness of standards like ISO 27001 , SOC 2 , or More ❯

Framework and DevOps. As you progress, you will get involved in our full suite of bespoke applications, as well as many other technologies including the latest cloud products from Azure and AWS. The Essentials for You: 25 days holiday, rising to 30, plus Bank Holidays Generous Company Pension Scheme, featuring an impressive 8% employer contribution. Your commitment deserves recognition More ❯

collaboratively within a team. Preferred Skills (not required but advantageous): · Experience with other programming languages such as C++, R, or MATLAB. · Exposure to cloud platforms and deployment tools (e.g., Azure, Docker, GitHub Actions). · Understanding of data pipelines and software engineering principles. What We Offer · A chance to work in a world-class motorsport environment. · Mentorship from experienced data More ❯

BTLE) and infraless positioning systems. Experience building and supporting mobile applications for: iOS (Swift or Objective-C) Android (Java or Kotlin) Proficiency with RESTful APIs and cloud platforms (AWS, Azure, or Google Cloud). Familiarity with edge computing, digital twins, and AI-driven automation. Excellent communication skills – able to engage both technical and non-technical audiences. A degree in More ❯

BTLE) and infraless positioning systems. Experience building and supporting mobile applications for: iOS (Swift or Objective-C) Android (Java or Kotlin) Proficiency with RESTful APIs and cloud platforms (AWS, Azure, or Google Cloud). Familiarity with edge computing, digital twins, and AI-driven automation. Excellent communication skills – able to engage both technical and non-technical audiences. A degree in More ❯

Advanced degree in life sciences, computer science, or a related field Experience with Agentic AI frameworks and tools (e.g., LangGraph, CrewAI, AutoGen) Familiarity with cloud native-AI infrastructure (e.g., Azure ML, AWS Bedrock, Snowflake) Prior experience in building AI products for clinical development or healthcare analytics RDSITAI IQVIA is a leading global provider of clinical research services, commercial insights More ❯