5 of 5 Data Privacy Jobs in Reading

SOC. Your Responsibilities (Up to 10, Avoid repetition) 1. Incident Detection and Response Lead investigations and remediation of complex security incidents, including malware infections, data breaches, and advanced persistent threats (APTs). Utilize advanced SIEM (Security Information and Event Management) tools, threat intelligence platforms, and other security technologies … Quality Assurance for SOC L1, monitoring and triaging. 2. Incident Detection and Response Lead investigations and remediation of complex security incidents, including malware infections, data breaches, and advanced persistent threats (APTs). Utilize advanced SIEM (Security Information and Event Management) tools, threat intelligence platforms, and other security technologies ...

architecture for next-generation blockchain-based KYC and identity verification solutions. The role involves designing distributed frameworks that enable secure, transparent, and compliant customer data exchange within the financial services domain. About the Role The Blockchain Architect will define the design and framework for distributed ledger solutions supporting secure … customer data exchange and digital identity verification. You will be responsible for the development and deployment of blockchain solutions to securely manage customer onboarding data and transaction verification - working collaboratively with the existing team to ensure project milestones and deadlines are met. Key Responsibilities Define the architecture ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...

Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs … Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging ...