8 of 8 Data Privacy Jobs in Essex

customer, an AI technology company is seeking an experienced Data Privacy Lawyer for a 6 month contract role to provide legal advice across a broad range of privacy and data protection matters. This is an exciting opportunity to join a fast-paced technology environment … support the business as it develops and scales AI-driven products and services. Key Responsibilities Provide practical legal advice on UK and EU data protection and privacy matters. Advise on GDPR compliance, DPIAs, international data transfers and data-sharing arrangements. Support privacy considerations ...

combine rigorous academic research with practical commercial delivery, offering AI strategy and consulting, hands‐on training, custom development, agentic AI, and ethics‐first data services. Founded in 2023, Sensiwise AI is ISO 27001 and ISO 9001 certified company and serves clients across FinTech, healthcare, retail, manufacturing, and legal sectors … will fit right in. Role Purpose We are looking for an AI Software Engineer who lives at the intersection of applied machine learning and data engineering. Someone who can turn raw, messy client data into reliable pipelines, and turn those pipelines into production AI systems that deliver measurable ...

Elevate seeks an experienced Data Privacy Lawyer for a 6-month contract to advise on UK/EU data protection matters across AI products and services. You will draft privacy notices, DPAs, processing agreements and advise senior teams on GDPR compliance, international transfers ...

Enablement Team is the catalyst for internal transformation and product acceleration across Actian. In the modern data landscape, AI is not a siloed experimental lab; it is a core capability that must be embedded into our product DNA and our engineering workflows. We are looking for an AI Enablement … safely, rapidly, and at scale. You will democratize AI across the organization, establish modern LLMOps/MLOps practices, and directly impact the Actian Data Intelligence Platform by introducing agentic workflows, intelligent data pipelines, and cutting-edge capabilities. Core Responsibilities: Internal AI tooling: Design and maintain the core ...

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 ...