4 of 4 Permanent Data Privacy Jobs in Somerset

core feature enhancements • Write high-quality, secure, reusable PHP and deliver robust front-end experiences • Architect and implement RESTful APIs, integrations, and reliable data flows between systems • Own and drive code review quality, engineering standards, and best practices • Mentor and support other developers (pairing, coaching, unblocking, raising capability) • Take … Diagnose complex issues across application + infrastructure layers and drive resolution • Lead performance optimisation and scalability improvements • Ensure compliance with accessibility standards, GDPR, and data protection by design • Strengthen QA processes and data integrity (including release readiness) Collaboration & Stakeholder Management: • Work closely with product and design to shape ...

learner (receiving feedback and making improvements) System Support & Quality • Help troubleshoot issues and improve performance under supervision • Follow best practices for accessibility, GDPR and data protection (with support) • Contribute to QA processes and data integrity checks Collaboration • Work within a cross-functional agile team (engineers, product designer, product … application to our client for review for this vacancy only. As you might expect you may be contacted by email, text or telephone. Your data is processed on the basis of our legitimate interests in fulfilling the recruitment process. Please refer to our Data Privacy Policy ...

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 ...