76 to 100 of 2,209 Data Privacy Jobs

practices for AI and automation initiatives Oversee the design and implementation of AI models, RPA (Robotic Process Automation), and intelligent workflows Ensure solutions are scalable, secure, and compliant with data privacy and ethical standards Evaluate and select appropriate tools, platforms, and vendors Collaborate with business units to understand pain points and co-create solutions Communicate complex technical … iterative development and deployment CI/CD pipeline integration for automation and ML model lifecycle management Use of tools like Git, Jenkins, and Azure DevOps In-depth knowledge of data architecture, governance, and AI ethics, including: Data privacy and security principles (e.g., GDPR, ISO 27001) Responsible AI practices: bias detection, explainability (e.g., SHAP, LIME), model drift … For nearly three decades, we have been strategically partnering with customers to go beyond expectations through the power of cutting-edge technology and expert teams.Our deep expertise in cloud, data and AI, application modernisation, and service delivery management has redefined businesses globally, helping shape the future for large public sector organisations and major global, private brands. We put users More ❯

leverage your deep expertise in machine learning, natural language processing, and large language model (LLM) agents to push the boundaries of legal technology. You'll be collaborating closely with data scientists, software engineers, and product managers to integrate advanced NLP techniques into our products. What You'll Do Innovative NLP Research: Research, evaluate, and implement state-of-the-art … and Deloitte. We are backed by prominent investors and VCs, including Octopus Ventures, Raine Ventures, Microsoft, Google for Startups, and Nick Jenkins (founder of Moonpig and former Dragon). Data Privacy Notice By submitting your application, you agree that DEFEYENE LEGAL SOLUTIONS LIMITED ('Definely') may collect, process, and store your personal data as part of our … recruitment process. We will use the information you provide to assess your qualifications for the role you are applying for and to communicate with you regarding your application.Your personal data will be stored for up to 12 months, after which it will be securely deleted unless we have another lawful basis to retain it. You have the right to More ❯

and business operations teams, to understand their requirements and translate them into robust and scalable architectural blueprints. Your expertise will be crucial in navigating the complexities of legal technology, data security, regulatory compliance, and the unique demands of a leading legal practice. Key Responsibilities: Enterprise Architecture: - Develop and maintain the enterprise architecture framework, including principles, standards, and roadmaps, specific … to ensure successful implementation of solutions. - Provide architectural guidance and support to project teams throughout the development lifecycle. - Ensure solutions adhere to relevant legal and regulatory requirements (e.g., GDPR, data privacy). - Contribute to the development of architectural patterns and best practices within the IT department. Stakeholder Management & Communication: - Effectively communicate architectural concepts and solutions to both … based solutions (e.g., Azure, AWS, GCP). Excellent knowledge of integration patterns and technologies. Solid understanding of security principles and best practices relevant to the legal sector. Experience with data architecture and management principles. Strong analytical, problem-solving, and decision-making skills. Excellent communication, presentation, and interpersonal skills, with the ability to influence and negotiate effectively. Experience working in More ❯

the clients' strategy, identifying opportunities to improve existing systems or leverage new technologies. System Integration : Design and implement integration strategies that allow disparate systems to work together seamlessly, ensuring data consistency, system reliability, and scalability. Solution Implementation Oversight : Oversee and guide the development teams during the implementation of designed solutions, ensuring adherence to the architecture and best practices. Security … and Compliance : Ensure that all solutions comply with internal security standards and relevant regulatory requirements (e.g., GDPR, HIPAA), including data privacy, security, and disaster recovery considerations. Documentation : Develop and maintain detailed documentation of solution designs, architecture principles, and integration approaches for ongoing projects and future reference. Risk Management : Identify and mitigate technical risks in solution designs, ensuring … platforms (e.g., AWS, Azure, Google Cloud) and cloud-native architectures. Experience with APIs, microservices, containerization (Docker, Kubernetes), and modern software development practices. Knowledge of database technologies (SQL, NoSQL) and data management best practices. Familiarity with DevOps practices, CI/CD pipelines, and automation tools. Soft Skills : Excellent communication skills, with the ability to explain complex technical concepts to non More ❯

We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers … MongoDB to build next-generation, AI-powered applications. In marketing operations, we empower the marketing team to unlock the full potential of MongoDB’s product for our customers. Through data-driven strategies, efficient processes, and the proper tooling, we enable our marketers to deliver impactful campaigns that resonate with customers and prospects, driving awareness, engagement, and adoption of MongoDB … of marketing systems and the business acumen to build the next version of MDB tech stack. In this role, you will collaborate closely with Marketing, Sales Ops, IT, and data teams to implement and optimize marketing technologies that improve campaign performance, enhance personalization, and drive revenue growth. You’ll be at the center of our marketing transformation, working to More ❯

Room page is loaded Senior Software Engineer - Clean Room Apply locations London time type Full time posted on Posted 18 Days Ago job requisition id JR011619 LiveRamp is the data collaboration platform of choice for the world's most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the … new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases-within organizations, between brands, and across its premier global network of top-quality partners. Hundreds of global innovators, from … healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements. You will: Lead the design, development, and implementation of complex software solutions for LiveRamp's More ❯

Lead Location: Cincinnati, OH- Hybrid Duration: 12 + Months - Contract to Hire PR: $80/hr - $90/hr on W2 Top 3 Skills - Databricks certified technical lead, Python, Data Domain experience This is a contract-to-hire position, and candidates must be prepared to transition to a full-time employee role. Job Summary: We are seeking a seasoned … to join our HR Systems Engineering team. This role is pivotal in enhancing the experience of over 420,000 associates by leading the design, build, and optimization of our data platform, services, APIs, and cloud migrations. As a product-centric role within an agile delivery framework, you will ensure our data solutions align with business objectives and deliver … tangible value. Join us in an organization recognized as one of the best places to work in IT for seven consecutive years. Required Qualifications: • 10+ years of experience in data engineering, big data, or API development, with at least 3+ years in a leadership role. • Proven experience leading product-centric data engineering initiatives in an agile delivery More ❯

Job description Lead Generative AI Engineer There has never been a better time to join the Data & AI team at KPMG. Our clients and communities embrace the opportunities provided by AI, and are looking for help deploying GenAI ethically and impactfully. The KPMG Data & AI team assists clients on their AI transformation journeys by leveraging advanced analytical techniques … and industrial-scale AI platforms. Our projects span industries such as Financial Services, Retail, Public Sector, Healthcare, Energy, and Utilities, focusing on data insights, AI model development, and delivering value through data-driven stories. Our multidisciplinary approach enables us to solve complex issues and significantly impact business results. Role Overview: KPMG UK seeks a Lead GenAI Engineer to … join our Data & AI team , specializing in generative AI model development , AI transformation , and large-scale enterprise AI implementations . You will lead impactful AI initiatives, drive innovation, and address complex business challenges. As a thought leader, you will guide cross-functional teams, define AI strategies, and deliver cutting-edge solutions that generate tangible outcomes for KPMG and our More ❯

About Apexon: Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving … Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence. About the Role We are seeking a highly motivated and experienced AI Engineer to join our Data and AI team . This role is ideal for someone who has a strong track record of designing, developing, and deploying AI/ML solutions in a business context … management channels for our Financial Services client. Key Responsibilities End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual design to production deployment, including problem scoping, data acquisition, model development, validation, deployment, and monitoring. AI-Driven Marketing Insights: Develop predictive and generative models to support audience segmentation, personalization, channel optimization, lead scoring, and campaign measurement. Collaborative More ❯

About Apexon: Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving … Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence. About the Role We are seeking a highly motivated and experienced AI Engineer to join our Data and AI team . This role is ideal for someone who has a strong track record of designing, developing, and deploying AI/ML solutions in a business context … management channels for our Financial Services client. Key Responsibilities End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual design to production deployment, including problem scoping, data acquisition, model development, validation, deployment, and monitoring. AI-Driven Marketing Insights: Develop predictive and generative models to support audience segmentation, personalization, channel optimization, lead scoring, and campaign measurement. Collaborative More ❯

Social network you want to login/join with: Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite … Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence. About the Role We are seeking a highly motivated and experienced AI Engineer to join our Data and AI team . This role is ideal for someone who has a strong track record of designing, developing, and deploying AI/ML solutions in a business context … management channels for our Financial Services client. Key Responsibilities End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual design to production deployment, including problem scoping, data acquisition, model development, validation, deployment, and monitoring. AI-Driven Marketing Insights: Develop predictive and generative models to support audience segmentation, personalization, channel optimization, lead scoring, and campaign measurement. Collaborative More ❯

Social network you want to login/join with: Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite … Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence. About the Role We are seeking a highly motivated and experienced AI Engineer to join our Data and AI team . This role is ideal for someone who has a strong track record of designing, developing, and deploying AI/ML solutions in a business context … management channels for our Financial Services client. Key Responsibilities End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual design to production deployment, including problem scoping, data acquisition, model development, validation, deployment, and monitoring. AI-Driven Marketing Insights: Develop predictive and generative models to support audience segmentation, personalization, channel optimization, lead scoring, and campaign measurement. Collaborative More ❯

Social network you want to login/join with: Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite … Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence. About the Role We are seeking a highly motivated and experienced AI Engineer to join our Data and AI team . This role is ideal for someone who has a strong track record of designing, developing, and deploying AI/ML solutions in a business context … management channels for our Financial Services client. Key Responsibilities End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual design to production deployment, including problem scoping, data acquisition, model development, validation, deployment, and monitoring. AI-Driven Marketing Insights: Develop predictive and generative models to support audience segmentation, personalization, channel optimization, lead scoring, and campaign measurement. Collaborative More ❯

Social network you want to login/join with: Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite … Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence. About the Role We are seeking a highly motivated and experienced AI Engineer to join our Data and AI team . This role is ideal for someone who has a strong track record of designing, developing, and deploying AI/ML solutions in a business context … management channels for our Financial Services client. Key Responsibilities End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual design to production deployment, including problem scoping, data acquisition, model development, validation, deployment, and monitoring. AI-Driven Marketing Insights: Develop predictive and generative models to support audience segmentation, personalization, channel optimization, lead scoring, and campaign measurement. Collaborative More ❯

Social network you want to login/join with: Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite … Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence. About the Role We are seeking a highly motivated and experienced AI Engineer to join our Data and AI team . This role is ideal for someone who has a strong track record of designing, developing, and deploying AI/ML solutions in a business context … management channels for our Financial Services client. Key Responsibilities End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual design to production deployment, including problem scoping, data acquisition, model development, validation, deployment, and monitoring. AI-Driven Marketing Insights: Develop predictive and generative models to support audience segmentation, personalization, channel optimization, lead scoring, and campaign measurement. Collaborative More ❯

Social network you want to login/join with: Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite … Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence. About the Role We are seeking a highly motivated and experienced AI Engineer to join our Data and AI team . This role is ideal for someone who has a strong track record of designing, developing, and deploying AI/ML solutions in a business context … management channels for our Financial Services client. Key Responsibilities End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual design to production deployment, including problem scoping, data acquisition, model development, validation, deployment, and monitoring. AI-Driven Marketing Insights: Develop predictive and generative models to support audience segmentation, personalization, channel optimization, lead scoring, and campaign measurement. Collaborative More ❯

standards, ensuring sustained technology value for the business. Platform Architecture: Oversee the design, architecture, and development of scalable, high-performance, and secure platforms, including cloud infrastructure, microservices, APIs, and data pipelines. Scalability & Reliability: Ensure the platform is highly available and scalable to meet the demands of a growing customer base and evolving business requirements. Implement strategies to prevent downtime … and manage disaster recovery. Collaboration: Collaborate closely with product engineering, data science, security, and other cross-functional teams to drive cohesive, integrated solutions that meet both technical and business requirements. You will break down silos between teams and departments, ensuring seamless communication and shared accountability for platform success. Technology Leadership: Stay ahead of emerging trends and technologies, and ensure … to ensure a reliable platform with high uptime and optimized performance. Security & Compliance: Partner with security teams to ensure that the platform complies with industry regulations and standards, including data protection, privacy, and security best practices (e.g., GDPR, SOC 2, etc.). Cost Management: Optimize platform operations and infrastructure for cost-efficiency, particularly in cloud environments. Implement More ❯

focus on the implementation and optimization of tracking technologies. This role involves a combination of technical expertise, problem-solving, and client communication, ensuring the accurate and effective collection of data to inform marketing strategies. The ideal candidate will possess a strong passion for digital analytics, with a particular emphasis on Google Analytics 4 (GA4), Google Tag Manager (GTM), and … marketing pixel implementation. Responsibilities Client Management Serve as a primary point of contact for retainer and project Clients regarding their tracking and data-related needs, building and maintaining strong, long-term relationships Collaborate with clients to understand their business objectives and translate them into clear, actionable tracking and measurement plans Present tracking solutions, findings, and recommendations to clients in … timelines, and deliverables effectively Analytics Implementation & Execution Lead the implementation and configuration of Google Analytics 4 (GA4), Google Tag Manager (GTM), and various marketing pixels (Facebook, LinkedIn, etc.) Ensure data accuracy and reliability through rigorous testing, validation, and quality assurance processes Design and implement comprehensive measurement plans to track key performance indicators (KPIs) across all digital marketing channels (SEO More ❯

stack web applications, focusing on lead generation workflows. Optimize and scale platform performance to handle increasing lead volumes efficiently. Integrate and manage APIs for customer eligibility checks, ensuring encrypted data transmission and receipt in compliance with GDPR and FCA guidelines. Collaborate with marketing teams and partners to enhance lead qualification processes using automated systems. Build responsive, conversion-driven user … interfaces with a seamless customer journey. Ensure platform security, including data encryption and compliance with UK regulatory standards. Troubleshoot, debug, and upgrade existing systems to improve functionality and user experience. Work with cloud infrastructure (AWS or Replit) to deploy, manage, and scale applications. Participate in code reviews, testing, and documentation to maintain high-quality standards. Stay updated on emerging … Node.js and Express.js for server-side logic. Familiarity with Formik and Yup for form handling and validation. Database and Storage : Experience with Supabase or similar PostgreSQL-based solutions for data management. Ability to integrate and manage relational databases securely. API Integration : Strong experience in working with RESTful APIs (e.g., Numverify, ZeroBounce) to send and receive encrypted data. Knowledge of More ❯

in parallel A profound understanding of product lifecycle management, user experience design, and market analysis. Hands-on experience with product roadmap creation, stakeholder collaboration, leading cross-functional teams, and data-driven decision-making processes Working experience in creating, prioritizing and recommending epics and features. Ability to work in a remote environment – travel will be part of the role to … Fantastic training and development opportunities Think you’re a great fit? Apply now to fast-track your application directly to our Leadership Team. Application notice... We take your privacy seriously. When you apply, we shall process … your details and pass your application to our client for review for this vacancy only. As you might expect you may be contacted by email, text or telephone. Your data is processed on the basis of our legitimate interests in fulfilling the recruitment process. Please refer to our Data Privacy Policy & Notice on our website for More ❯

in parallel A profound understanding of product lifecycle management, user experience design, and market analysis. Hands-on experience with product roadmap creation, stakeholder collaboration, leading cross-functional teams, and data-driven decision-making processes Working experience in creating, prioritizing and recommending epics and features. Ability to work in a remote environment travel will be part of the role to … another Fantastic training and development opportunities Think youre a great fit? Apply now to fast-track your application directly to our Leadership Team. Application notice... We take your privacy seriously. When you apply, we shall process … your details and pass your application to our client for review for this vacancy only. As you might expect you may be contacted by email, text or telephone. Your data is processed on the basis of our legitimate interests in fulfilling the recruitment process. Please refer to our Data Privacy Policy & Notice on our website for More ❯

efficiency, quality, or scalability. Recommend and pilot AI tools (e.g., for content creation, personalization, audience analytics, automation, etc.) that align with business goals. Collaborate with product, editorial, technology, and data teams to integrate AI technologies into workflows. Monitor industry trends and competitor adoption of AI to ensure our media operations remain cutting-edge. Training & Change Management Develop and deliver … technical users, translating complex AI concepts into practical applications. Establish KPIs to measure the impact of AI initiatives and training efforts. Skills & Experience: Proven experience in applying AI or data science within the media, publishing, or digital content industry. Solid understanding of AI tools (e.g., NLP, computer vision, recommendation engines, generative AI) and their practical applications. Experience designing and … delivering training or upskilling programs to diverse professional audiences. Strong analytical, problem-solving, and communication skills. Comfortable working in a fast-paced, cross-functional environment. Awareness of data privacy, copyright, and ethical considerations in AI adoption. Degree in Computer Science, Data Science, Media Technology, or a related field. Hands-on experience with AI platforms and tools More ❯

efficiency, quality, or scalability. Recommend and pilot AI tools (e.g., for content creation, personalization, audience analytics, automation, etc.) that align with business goals. Collaborate with product, editorial, technology, and data teams to integrate AI technologies into workflows. Monitor industry trends and competitor adoption of AI to ensure our media operations remain cutting-edge. Training & Change Management Develop and deliver … technical users, translating complex AI concepts into practical applications. Establish KPIs to measure the impact of AI initiatives and training efforts. Skills & Experience: Proven experience in applying AI or data science within the media, publishing, or digital content industry. Solid understanding of AI tools (e.g., NLP, computer vision, recommendation engines, generative AI) and their practical applications. Experience designing and … delivering training or upskilling programs to diverse professional audiences. Strong analytical, problem-solving, and communication skills. Comfortable working in a fast-paced, cross-functional environment. Awareness of data privacy, copyright, and ethical considerations in AI adoption. Degree in Computer Science, Data Science, Media Technology, or a related field. Hands-on experience with AI platforms and tools More ❯

efficiency, quality, or scalability. Recommend and pilot AI tools (e.g., for content creation, personalization, audience analytics, automation, etc.) that align with business goals. Collaborate with product, editorial, technology, and data teams to integrate AI technologies into workflows. Monitor industry trends and competitor adoption of AI to ensure our media operations remain cutting-edge. Training & Change Management Develop and deliver … technical users, translating complex AI concepts into practical applications. Establish KPIs to measure the impact of AI initiatives and training efforts. Skills & Experience: Proven experience in applying AI or data science within the media, publishing, or digital content industry. Solid understanding of AI tools (e.g., NLP, computer vision, recommendation engines, generative AI) and their practical applications. Experience designing and … delivering training or upskilling programs to diverse professional audiences. Strong analytical, problem-solving, and communication skills. Comfortable working in a fast-paced, cross-functional environment. Awareness of data privacy, copyright, and ethical considerations in AI adoption. Degree in Computer Science, Data Science, Media Technology, or a related field. Hands-on experience with AI platforms and tools More ❯

efficiency, quality, or scalability. Recommend and pilot AI tools (e.g., for content creation, personalization, audience analytics, automation, etc.) that align with business goals. Collaborate with product, editorial, technology, and data teams to integrate AI technologies into workflows. Monitor industry trends and competitor adoption of AI to ensure our media operations remain cutting-edge. Training & Change Management Develop and deliver … technical users, translating complex AI concepts into practical applications. Establish KPIs to measure the impact of AI initiatives and training efforts. Skills & Experience: Proven experience in applying AI or data science within the media, publishing, or digital content industry. Solid understanding of AI tools (e.g., NLP, computer vision, recommendation engines, generative AI) and their practical applications. Experience designing and … delivering training or upskilling programs to diverse professional audiences. Strong analytical, problem-solving, and communication skills. Comfortable working in a fast-paced, cross-functional environment. Awareness of data privacy, copyright, and ethical considerations in AI adoption. Degree in Computer Science, Data Science, Media Technology, or a related field. Hands-on experience with AI platforms and tools More ❯