8 of 8 Data Privacy Jobs in Cambridge

integrated programmes, and drive measurable growth across demand generation, customer engagement, pipeline, and revenue. The Director will own digital marketing performance and the enabling data and technology ecosystem, partner closely with Sales, Revenue Operations, Product Marketing, Communications, and IT, and champion the responsible adoption of AI-enabled capabilities … optimisation Champion the responsible adoption of AI across marketing, including predictive analytics, automation, personalisation, content optimisation, and workflow integration Use customer, campaign, and market data to identify growth opportunities, improve segmentation, and guide investment decisions Lead agency and technology partner relationships, including selection, governance, performance management, and commercial oversight ...

everyone can reach better health outcomes together. Evinova is a health-tech business within the AstraZeneca Group. Digital health, the intersection of healthcare, technology, data and analytics has the potential, according to the World Health Organisation to improve health systems and outcomes when implemented equitably, inclusively and responsibly. Digital … strategy for digital solutions in scope, including software and device classification, the applicable frameworks (e.g. EU MDR, FDA SaMD and DHT guidance, GxP and data integrity expectations) and the evidentiary standard required for each intended use. Ensure development, validation and change-control activities are conducted, documented and archived ...

Experience creating agentic development workflows or writing and maintaining AI skills.* npm workspaces/shared-package build systems.* Experience supporting SaaS platforms with strict data-privacy requirements (enterprise/multinational customers).## How we work* We favor paved paths and sensible defaults over teams maintaining highly custom … privacy rights of individuals and are committed to handling Personal Information responsibly and in accordance with all applicable privacy and data protection laws. Review our Privacy Policy here." #J-18808-Ljbffr ...

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 ...

documented public APIs and SDKs for consumption by internal and external developers. Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Contribute to design … Microsoft and .NET technologies. Strong expertise in RESTful API design, versioning, testing, and lifecycle management. Proficient in securing APIs, managing authentication/authorization and data privacy practices. Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions. Desired skills and competencies ...

outbound collaterals to showcase Arm technology. Work closely with other Arm lines of business to leverage use-cases, sample applications, enablement for Automotive. Ensure data privacy, security, and ethical considerations in all data initiatives. Required Experience: Experience in open-source or commercial firmware. Experience in Linux ...

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 ...