101 to 125 of 332 Data Privacy Jobs in the UK

supporting the operating environment, capabilities, and governance that enables product teams to deliver consistent, measurable, and scalable outcomes. This role drives the standards, tooling, data products, and operating cadences required to strengthen product management effectiveness, improve decision quality through reliable product data and metrics, and accelerate adoption … enabled ways of working. The Senior Vice President partners closely with Product, Engineering, Design, Data, Risk, Operations, and business stakeholders to improve how products are planned, instrumented, measured, governed, and continuously enhanced. In this role, you ll make an impact in the following ways: Establish and evolve product management ...

supporting the operating environment, capabilities, and governance that enables product teams to deliver consistent, measurable, and scalable outcomes. This role drives the standards, tooling, data products, and operating cadences required to strengthen product management effectiveness, improve decision quality through reliable product data and metrics, and accelerate adoption … enabled ways of working. The Senior Vice President partners closely with Product, Engineering, Design, Data, Risk, Operations, and business stakeholders to improve how products are planned, instrumented, measured, governed, and continuously enhanced. In this role, you’ll make an impact in the following ways: Establish and evolve product management ...

supporting the operating environment, capabilities, and governance that enables product teams to deliver consistent, measurable, and scalable outcomes. This role drives the standards, tooling, data products, and operating cadences required to strengthen product management effectiveness, improve decision quality through reliable product data and metrics, and accelerate adoption … enabled ways of working. \n The Senior Vice President partners closely with Product, Engineering, Design, Data, Risk, Operations, and business stakeholders to improve how products are planned, instrumented, measured, governed, and continuously enhanced. \n In this role, you’ll make an impact in the following ways: \n \n Establish ...

supporting the operating environment, capabilities, and governance that enables product teams to deliver consistent, measurable, and scalable outcomes. This role drives the standards, tooling, data products, and operating cadences required to strengthen product management effectiveness, improve decision quality through reliable product data and metrics, and accelerate adoption … enabled ways of working. \n The Senior Vice President partners closely with Product, Engineering, Design, Data, Risk, Operations, and business stakeholders to improve how products are planned, instrumented, measured, governed, and continuously enhanced. \n In this role, you’ll make an impact in the following ways: \n \n Establish ...

Role Overview Role – AI Evangelist (Senior Technology Architect) Technology – AI/ML/Gen AI, Data Science, Poly Cloud – Azure, AWS, GCP Location – London – UK Business Unit – TOPAZDLVRY Compensation – Competitive (including bonus) Job Summary We are seeking an accomplished Generative AI Consultant to drive the design and implementation … multi‐step task execution. Model Context Protocol (MCP) & Interoperability : Practical understanding of MCP for standardized, secure connectivity between LLMs/agents and external tools, data sources, and systems. Ability to build and consume MCP servers/clients and work with MCP primitives (tools, resources, prompts). Awareness of related ...

full engagement lifecycle — from shaping opportunities and supporting pre-sales, through facilitating discovery and design workshops, to owning the end-to-end AI and data platform architecture that gets built. The ideal candidate brings deep expertise in generative AI, machine learning, data engineering, and scalable infrastructure, combined with … that align with both business objectives and technical requirements, adapting to each client's existing environment and constraints. Develop architecture blueprints covering model development, data pipelines, deployment frameworks, and system integrations — with a strong focus on GenAI, NLP, computer vision, and multimodal AI applications. Leverage deep knowledge ...

onsite in London. The Role You will own how my client handles legal across its CRM work. The core of the job is the data side of lifecycle marketing: GDPR, consent capture and proof, lawful basis, data processing across the client base, and the deliverability and compliance rules … flow holds up, you are the person who answers and can show the reasoning. You will also run their own legal requirements: client contracts, data processing agreements, supplier terms, and the contractual work that comes with a company adding headcount, clients, and entities. You will work directly with leadership ...

hypotheses, designing experiments, validating impact, influencing roadmap decisions, interpreting results, and translating insights into strategic product decisions. You will work at the intersection of data science, product strategy, and commercial value — helping us answer not just “what happened?” but “what should we build next and why?” Why This Role … into customer patterns, surface friction points, and identify opportunity spaces that aren't yet visible on the roadmap. Working across operational, performance, and customer data, you'll build dashboards and monitoring frameworks that keep the team oriented on what matters — and partner with Data Science to make sense ...

hypotheses, designing experiments, validating impact, influencing roadmap decisions, interpreting results, and translating insights into strategic product decisions. You will work at the intersection of data science, product strategy, and commercial value helping us answer not just what happened? but what should we build next and why? Why This Role … into customer patterns, surface friction points, and identify opportunity spaces that aren't yet visible on the roadmap. Working across operational, performance, and customer data, you'll build dashboards and monitoring frameworks that keep the team oriented on what matters and partner with Data Science to make sense ...

businesses, partnering across a global, multidisciplinary team. Job responsibilities Design and implement end-to-end ML and LLM solutions, from problem framing and data preparation through training, evaluation, deployment, and ongoing optimization. Apply modern GenAI workflows, including prompt engineering techniques, tracing, evaluations, guardrails, and safety frameworks to align model … decisions; contribute to reusable components, patterns, and best practices for ML/GenAI in public cloud environments. Optimize for cost, performance, and resilience; incorporate data privacy, compliance, and responsible AI considerations throughout the lifecycle. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts ...

join a team modernising our platforms, strengthening cyber and operational resilience, and advancing a product-led way of working that brings engineers, data specialists and business experts together to deliver meaningful outcomes at pace. We're scaling automation and AI from proof-of-concept into real … experimentation into production, developing reliable, scalable and responsible AI services that can be embedded into products and platforms. Working closely with product, engineering and data teams, the AI Engineer applies modern machine learning and generative AI techniques to solve real problems, improve decision making and automate complex tasks, while ...

application, make sure to hit the apply button below after reading through the entire description. Want to help shape decisions with the power of data? Do you want to turn data into insights that make a real difference? Are you ready to use analytics, KPIs and storytelling … Opencast could be the place for you. We re a growing tech consultancy that creates user-centred solutions with purpose. As a Data Analyst, you ll guide better decisions, helping clients to act with insight and help shape our data practice for the future. The role ...

## Sr. Solutions Architect - Data CenterApplylocations: London, United Kingdom: Milton Keynes, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR3369# **About Us****Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud … advisor, the Sr Solutions Architect bridges business objectives and technical execution, ensuring alignment with enterprise architecture, security standards, and modern technology frameworks, including cloud, data, AI, and Microsoft ecosystems. This individual partners closely with cross-functional teams, clients, and stakeholders to drive innovation and deliver business value at scale. ...

Principal AI Engineer to lead the design, development, and delivery of intelligent software systems that bring together enterprise application architecture, full-stack engineering, data science, and machine learning. In this highly visible, hands‐on leadership role, you will build and scale production‐grade platforms and AI‐enabled products that … critical workflows, decision‐making, automation, and business insight across the organization. The ideal candidate combines deep software engineering expertise with strong applied AI and data science capability, and has a proven ability to mentor engineers, shape technical direction, and partner cross‐functionally to turn complex business problems into scalable ...

deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. #WeSolveWhatMattersQuantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate … insurance industry. This role requires a deep understanding of the insurance sector, its evolving digital landscape, and the ability to deliver AI, data, cloud, and digital transformation solutions that create measurable business impact.You’ll work in an entrepreneurial environment, engaging with senior leadership and key stakeholders to drive revenue ...

specifically for artificial intelligence. Founded to power the world’s most demanding AI workloads, Nscale delivers a vertically integrated, performance-optimized platform spanning compute, data centres, and orchestration software. The company’s mission is to make AI infrastructure accessible, sovereign, and sustainable for enterprises, governments, and AI-native organisations. … across Europe, North America, and APAC, the goal is to design a modern, AI-enabled people organisation that mirrors Nscale’s own ambition: fast, data-driven, globally consistent, and built for scale. The function is led by the Chief People Officer, Naeem Hatimi, who joined last year to assemble ...

including experience required and associated duties and tasks. The Role You’ll help clients improve their services by selecting the appropriate techniques to turn data into insights, by working within a product delivery team to develop performance measuring frameworks to track goals, user needs, or KPIs. You’ll operate … demonstrate an understanding of each product delivery stage and how to apply appropriate measurements for that phase of work. Essential experience worked with data platforms such as Google Analytics, Splunk, Datadog, or similar working within a GDS delivery environment within a government department used data visualisation tools such ...

GenAI workloads within CI/CD pipelines and developer workflows. Define and enforce secure usage patterns for LLMs and AI services, including prompt handling, data protection, and model access controls. Implement safeguards against AI‐specific threats, including prompt injection, model poisoning, data leakage, and insecure model outputs. Integrate … model usage and dependency integrity. Collaborate with engineering teams to establish secure‐by‐design AI application architectures. Ensure compliance with enterprise Responsible AI policies (data privacy, bias management, model governance). Secure AI‐related secrets, tokens, and API access used in pipelines and applications. Monitor and respond ...

collaborating with Opencast Software to connect them with exceptional professionals for this role. \n Want to help shape decisions with the power of data? \n \n Do you want to turn data into insights that make a real difference? Are you ready to use analytics, KPIs and storytelling … Opencast could be the place for you. We’re a growing tech consultancy that creates user-centred solutions with purpose. As a Data Analyst, you’ll guide better decisions, helping clients to act with insight – and help shape our data practice for the future. \n The role ...

commercial team on strategy. The role focuses on negotiating SaaS agreements, NDAs, partnerships, and marketing/supplier contracts while ensuring privacy and data protection across a complex international environment. You will own the GDPR compliance program, DPIAs, LIAs, and transfer risk assessments, and support governance, cap table ...

delivery of AI-powered solutions that drive business value, improve efficiency, reduce risk, and enhance decision-making. Acting as the bridge between business, data, and technology teams, this role will support the client's transition to a data-driven, AI-enabled organisation. You will need to have worked … focused on efficiency, insight, automation, and risk reduction. Gather and translate business requirements into clear product features and technical deliverables. Analyse business processes and data flows, documenting current and future-state operating models. Collaborate with technology and data teams to deliver AI solutions, including Generative AI, Large Language ...

designing experiments, validating impact, influencing roadmap decisions, interpreting results, and translating insights into strategic product decisions. \n You will work at the intersection of data science, product strategy, and commercial value — helping us answer not just “what happened?” but “what should we build next and why?” \n Why This … into customer patterns, surface friction points, and identify opportunity spaces that aren't yet visible on the roadmap. Working across operational, performance, and customer data, you'll build dashboards and monitoring frameworks that keep the team oriented on what matters — and partner with Data Science to make sense ...

designing experiments, validating impact, influencing roadmap decisions, interpreting results, and translating insights into strategic product decisions. \n You will work at the intersection of data science, product strategy, and commercial value — helping us answer not just “what happened?” but “what should we build next and why?” \n Why This … into customer patterns, surface friction points, and identify opportunity spaces that aren't yet visible on the roadmap. Working across operational, performance, and customer data, you'll build dashboards and monitoring frameworks that keep the team oriented on what matters — and partner with Data Science to make sense ...

leveraging the Microsoft technology stack, including Copilot Enterprise, Power Apps, Azure services, Python, and OpenAI technologies, to streamline workflows, enhance operational efficiency, and support data-driven decision making. The successful candidate will work closely with the Innovations Team, Data, IT, operations, and business stakeholders to identify automation opportunities … automation tools across the organisation. Ensure solutions comply with company policies, regulatory requirements, and industry standards. Implement best practices for AI usage, data management, and automation lifecycle management. Maintain documentation, version control, and deployment standards. IT Security & Compliance Work closely with IT Security teams to ensure AI solutions meet ...

leveraging the Microsoft technology stack, including Copilot Enterprise, Power Apps, Azure services, Python, and OpenAI technologies, to streamline workflows, enhance operational efficiency, and support data-driven decision-making. The successful AI Implementation Engineer will work closely with the Innovations Team, Data, IT, Operations, and business stakeholders to identify … automation tools across the organisation. Ensure solutions comply with company policies, regulatory requirements, and industry standards. Implement best practices for AI usage, data management, and automation lifecycle management. Maintain documentation, version control, and deployment standards. IT Security & Compliance Work closely with IT security teams to ensure AI solutions meet ...