3 of 3 Data Privacy Jobs in Somerset

hands-on experience developing both technical and professional skills. Role Key Responsibilities: Assist in developing, testing, and maintaining AI and machine learning models Support data collection, cleaning, labeling, and basic analysis Help implement AI solutions using Python and common ML libraries Participate in model evaluation, performance monitoring, and documentation … Collaborate with cross-functional teams on AI-driven projects Learn and apply best practices in data privacy, ethics, and responsible AI Continuously build skills through training, mentoring, and self-study What You’ll Learn: Identify opportunities for automation to drive operational improvement and cost savings. Advocate ...

Experience with risk management tools such as OpenPages, and familiarity with COBIT and NIST 2 frameworks. Strong understanding of regulatory requirements including SOX, cybersecurity, data privacy, AML and FCA-related obligations. Leadership experience with direct people management responsibility. Desirable: knowledge of authentication services technology. Qualifications Essential: ITIL ...

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 ...