14 of 14 Permanent Data Privacy Jobs in the Thames Valley

Summary: The AI Architect is responsible for designing, developing, and overseeing the architecture of artificial intelligence solutions leveraging Palantir Foundry as a core enterprise data platform. This role works closely with stakeholders and technical teams to ensure scalable, secure, and effective AI implementation that aligns with business objectives … drives value from commercial data across Foundry. Key Responsibilities: Architect end-to-end AI solutions using Foundry, including machine learning models, large-scale data pipelines (PySpark), and production-grade deployment architectures within Foundry’s ecosystem. Evaluate and select optimal ML and data technologies, frameworks, and platform components ...

Responsibilities Conduct deep analysis of commercial initiatives and identify opportunities for optimisation and growth. Map and document ‘as-is’ and ‘to-be’ processes, including data flow diagrams and supporting documentation. Build, configure, and maintain compliant digital solutions using approved internal tools. Collaborate with internal teams and third-party suppliers … processes to drive adoption. Support adherence to Software Development Lifecycle (SDLC) processes and documentation standards. Partner with regional stakeholders to support commercial and data privacy-driven initiatives. Ensure all activities comply with quality system requirements. Provide accurate and timely customer support aligned with SLA expectations. Identify ...

Email Marketing Team Lead We’re looking for a creative, organised, and data-driven Email Marketing Team Lead to take ownership of our email marketing strategy and campaigns. You’ll lead a small team, driving engagement, nurturing audiences, and ensuring campaigns are both impactful and compliant with best practice. … strategies to increase engagement, generate leads, and improve customer retention. Ensure campaigns follow best practice for deliverability, segmentation, automation, A/B testing, and data privacy compliance (e.g., GDPR, CAN-SPAM). Maintain data integrity and list hygiene, and optimise audience segmentation for maximum impact. Analyse ...

ideally with some AWS exposure) Lead technical discovery sessions, workshops, and site assessments Produce cloud architecture roadmaps and reference frameworks Embed InfoSec, SecOps, and data privacy principles into all designs Oversee solution delivery and work closely with engineers Produce clear technical documentation and reusable assets to support ...

ideally with some AWS exposure) Lead technical discovery sessions, workshops, and site assessments Produce cloud architecture roadmaps and reference frameworks Embed InfoSec, SecOps, and data privacy principles into all designs Oversee solution delivery and work closely with engineers Produce clear technical documentation and reusable assets to support ...

Doing: • Qualified lawyer in UK, Japan, or EU law • Post-qualification experience in corporate, regulatory, or technology law • Knowledge of corporate governance, data privacy regulations, and AI/digital compliance • Experience managing cross-border legal matters • Provide legal guidance to senior management on business operations • Ensure company … practices comply with relevant laws across multiple regions • Review, draft, and negotiate contracts and partnership agreements • Oversee risk management related to AI, data use, and digital technology • Establish and maintain internal compliance and governance policies • Coordinate with external legal advisors and global legal teams Japanese Speaking General Counsel ...

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 ...

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 ...

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 ...