5 of 5 Data Privacy Jobs in Cambridgeshire

Data Engineer Who are Diligenta? Diligenta's vision is to be acknowledged as Best-in-class Platform-based Life and Pensions Administration Service provider. Customer service is at the heart of everything we do, and our aim is to transform our clients' operations. A business that has been described as ‘home’ by existing employees, we drive a culture that … is founded on positive change and development. Summary of the role: As a Data Engineer you will be responsible for designing, developing and delivering solutions to Load, optimise and transform Data within our environment and the relevant infrastructure to support them.The Data Engineer will provision, configure and implement Azure infrastructure consisting of SQL instances, and other Fabric … components as required to support the Data needs of Diligenta. You will be a key part of designing and building out our Data infrastructure that will help to drive Data insights, data use and value across the business. Benefits: 33 days including Bank Holidays Eligibility for an annual discretionary bonus scheme Personal and career development opportunities More ❯

Cambridge, Gatwick, Milton Keynes, Reading Business Line Enabling Functions Job Type Permanent/FTC Date published 07-Aug-2025 20282 Connect to your Industry Are you passionate about data science and AI? Do you want to apply your skills and knowledge to help shape the future of Deloitte? If so, we have an exciting opportunity for you to join … our Enabling Functions team as an AI Engineer & Data Scientist. You be part of an exciting innovative team that delivers cutting edge GenAI solutions. As an AI Engineer & Data Scientist, you will work on innovative projects that leverage data and AI to enhance our internal capabilities and deliver value to our employees. You will collaborate with experts … values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most. Connect to your opportunity As an AI Engineer & Data Scientist, you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine More ❯

Data Engineering Manager Who are Diligenta? Diligenta's vision is to be acknowledged as Best-in-class Platform-based Life and Pensions Administration Service provider. Customer service is at the heart of everything we do, and our aim is to transform our clients' operations. A business that has been described as ‘home’ by existing employees, we drive a culture … that is founded on positive change and development. Summary of the role: As a Data Engineering Manager, you will be responsible for the engineering teams in the Data delivery and Data management scopes. These are key positions within the Data office as they provide technical leadership, mentorship and team development, as well as contributing to the … development and implementation of our Data strategy.You will be responsible for organising the team in an efficient and effective manner and prioritising the work to align with organisational priorities. This includes providing technical leadership during development phases, Agile based delivery and engineering best practices. As in any engineering management position, there will be a certain amount of hands-on More ❯

To Have Skills: - Knowledge of AI automation tooling or working alongside AI/ML teams. - Experience in deploying or supporting SOAR (Security Orchestration, Automation and Response) solutions. - Understanding of data privacy and security risks in automation. - Experience working within regulated or enterprise environments (eg, semiconductor, finance, healthcare). - Familiarity with Agile delivery methods and collaboration tools (eg More ❯

About the Role Outside IR35 £200 - £300Initial 6 month contract - high possibility of 18 monthsOur client is hiring a Data Scientist – AI/ML Engineer to join our Core AI Services team. You’ll be at the forefront of designing and scaling cloud-native AI platform services and APIs that enable enterprise-wide AI adoption. Working within a collaborative … cloud-native services on Microsoft Azure , including Azure Functions, AKS, and API Management. Develop secure, well-documented RESTful APIs and SDKs , managing their full lifecycle. Deliver end-to-end data pipelines , orchestration, and service APIs. Deploy and manage AI models and tooling for enterprise-scale adoption. Embed security best practices around authentication, authorization, and data privacy. Participate in … continuous learning and innovation. Skills & Experience 10+ years in software engineering, with strong experience building cloud-native or platform services using Microsoft and .NET . 4+ years in a Data Scientist or AI/ML Engineer role. Proficiency in Python , including libraries like pandas , scikit-learn , TensorFlow , and PyTorch . Deep understanding of ML algorithms : regression, classification, clustering, and More ❯