151 to 175 of 870 Permanent Data Privacy Jobs

mitigate churn, drive adoption and renewals Comfortable in a startup environment, we wear many hats and move quickly. Analytical Rigour (if you cannot measure it, you cannot improve it): Data-driven approach to identifying and solving problems, comfortable presenting and visualising data. Skills : Excellent interpersonal skills: the ability to build strong relationships and rapport with existing customers. Authentic, confident … are not just saying that)! We look for natural self-starters who are curious, adaptive, resilient, apply deep logic to their thinking and, most importantly, learn from every mistake! 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 ❯

mitigate churn, drive adoption and renewals Comfortable in a startup environment, we wear many hats and move quickly. Analytical Rigour (if you cannot measure it, you cannot improve it): Data-driven approach to identifying and solving problems, comfortable presenting and visualising data. Skills : Excellent interpersonal skills: the ability to build strong relationships and rapport with existing customers. Authentic, confident … are not just saying that)! We look for natural self-starters who are curious, adaptive, resilient, apply deep logic to their thinking and, most importantly, learn from every mistake! 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 ❯

supplier contracts over time, proactively initiating service or legal reviews ahead of renewals or upon material changes. Identify and flag potential legal risks related to supplier performance, licensing terms, data protection, or regulatory exposure. Coordinate with internal stakeholders (e.g. Finance, IT, Security) to ensure supplier agreements meet operational and risk expectations. Update internal policies and workflows to reflect evolving … supplier obligations or legal standards. Legal Compliance & Risk Management Ensure Optimy's ongoing compliance with legal and regulatory requirements, with a focus on data privacy (e.g., GDPR), accessibility, and emerging AI legislation. Maintain and update the company's data processing registry and provide legal input on data protection impact assessments (DPIAs). Advise on legal … of internal legal and compliance policies. Deliver legal & compliance onboarding sessions or targeted training for client-facing and operational teams. Increase legal literacy across the company regarding contractual responsibilities, data privacy, and compliance risks. Legal Records & Knowledge Management Maintain a centralized and well-organized database of executed contracts, legal templates, and supplier agreements. Ensure version control and More ❯

appointment of the successful candidate will be subject to standard pre-employment screening, as applicable to the post. This will include right-to-work, proof of identity and references. Data privacy Please note that any personal data submitted to Tokamak Energy as part of the job application process will be processed in accordance with the GDPR … and related UK data protection legislation, for more information regarding GDPR please see: Equality of opportunity Entry into employment with the Tokamak Energy and progression within employment will be determined only by personal merit and the application of criteria which are related to the duties of each post and the relevant salary structure. In all cases, ability to perform More ❯

comprehensive test plans across the model lifecycle, including test objectives, scope and success criteria Verifying the quality, consistency and relevance of input datasets by creating appropriate testing pipelines (e.g. data and model drift) using conventional and novel tools relating to data testing Evaluating model performance under stress scenarios and testing model scalability in production-like environments Designing effective … integration testing that ensures seamless data flow and compatibility with overall system architectures Project leading and supporting a team of expert model validators covering an array of model types and performing highly quantitative process verification activities as part of validations Documenting and presenting validation findings to technical forums and governance committees, while producing summary reports and relevant Management Information … to and influencing validation standards across the model lifecycle to continuously enhance the validation process, especially with process verification in mind We need you to have Significant experience in data management, data quality assurance and/or reporting of risk data, including validating data inputs and/or data outputs Strong understanding of software engineering More ❯

adapt strategies. Oversee incident monitoring, detection, response via SOC and MSSPs. Manage security tools like SIEM and endpoint protection. Lead incident response and post-incident analysis. Enforce policies for data privacy (GDPR & NIST). Conduct regular security audits. Manage vendor relationships and negotiate contracts. Report service performance to stakeholders. Coordinate with other Tosca functions for effective implementation. More ❯

full customer journey? We are looking for a Senior Product Manager to join our Performance team. A strategic thinker who can bridge the gap between communications, product experience, and data-driven decision-making. Your mission is to optimise every stage of the customer experience, from first interaction to conversion and retention. By leveraging insights from customer data and … when needed and communicate the 'why' behind your decisions You have strong knowledge in experimentation - backing your insights with behavioural science theory. Bonus if you have SQL, python or data visualisation skills. You believe that good collaboration relies on more than just strong communication. You relish in providing everyone with the necessary support, information and influence to best achieve … or other protected characteristics as required by law and as a matter of our company values. GDPR Notice When you apply to a job on this site, the personal data contained in your application will be collected by Ophelos ("Controller"), which is located at 1 Finsbury Ave, London EC2M 2PF and can be contacted by emailing . Controller's More ❯

with CI/CD pipelines and DevSecOps practices. Exposure to cloud platforms (e.g., AWS, Azure, OCI).Experience in a federal IT environment or other highly regulated industry. Knowledge of data privacy, governance, and compliance best practices. Security Clearance Eligible to obtain a Public Trust Clearance. More About B&A: Notable Clients B&A has grown to be More ❯

the latest advancements in AI and Azure technologies and incorporating them into projects Providing technical leadership and mentorship to other team members Ensuring best practices in AI development, including data privacy and ethical considerations. Qualifications Qualifications Strong knowledge of the Microsoft stack, particularly Azure Proficiency in programming languages such as Python, C# Excellent problem-solving skills and More ❯

to multiple industry audit/compliance frameworks; PCI DSS, ISO 27001, Cyber Essentials, NIST, SOC 2, NIS2, etc.• Exposure to Amazon AWS, Microsoft Azure or Google GCPs cloud platforms• Data Privacy Experience, e.g. GDPR, DPA2018 More ❯

methodologies and best practices Ability to design and implement secure and scalable digital solutions Strong communication and stakeholder management skills Experience in leading and mentoring technical teams Knowledge of data privacy and protection regulations (e.g. GDPR) Understanding of enterprise architecture frameworks (e.g. TOGAF) Familiarity with agile and DevOps practices in a public sector context Proficiency in event More ❯

methodologies and best practices Ability to design and implement secure and scalable digital solutions Strong communication and stakeholder management skills Experience in leading and mentoring technical teams Knowledge of data privacy and protection regulations (e.g. GDPR) Understanding of enterprise architecture frameworks (e.g. TOGAF) Familiarity with agile and DevOps practices in a public sector context Proficiency in event More ❯

methodologies and best practices Ability to design and implement secure and scalable digital solutions Strong communication and stakeholder management skills Experience in leading and mentoring technical teams Knowledge of data privacy and protection regulations (e.g. GDPR) Understanding of enterprise architecture frameworks (e.g. TOGAF) Familiarity with agile and DevOps practices in a public sector context Proficiency in event More ❯

inclusive environment for all employees. Infosys is proud to be an equal opportunity employer. “By applying via Easy Apply option you confirm you have read, and you accept Infosys Data Privacy notice for the country of the job posting. Please see the relevant Data Privacy Notice under the link: https://digitalcareers.infosys.com/… infosys/privacy-notice-emea. More ❯

inclusive environment for all employees. Infosys is proud to be an equal opportunity employer. “By applying via Easy Apply option you confirm you have read, and you accept Infosys Data Privacy notice for the country of the job posting. Please see the relevant Data Privacy Notice under the link: https://digitalcareers.infosys.com/… infosys/privacy-notice-emea. More ❯

and founded in 2013, we partner with higher education institutions to improve student engagement from first enquiry to enrolment. We offer a comprehensive platform solution, an expert workforce, and data-led processes to engage students globally. With over 250 team members across four international offices, we foster a culture of ownership and flexibility, supporting career growth and focusing on … encourage each student's journey - whether it's a personalised email, a tailored message, or a human follow-up - generated dynamically using Generative AI. You will work closely with data scientists, machine learning engineers, and operational teams to build, launch, and optimise these models and systems, making them a core part of how we support students globally. What are … you responsible for Define the vision, strategy, and roadmap for predictive models and AI-driven engagement tools. Work with data teams to design models that predict student-program fit and likelihood of enrolment, using demographic data and behavioural activity across our platforms. Lead the development of recommendation engines that suggest personalised next actions, leveraging Generative AI for communication More ❯

get the finance they need to grow. With more than a decade of expertise under our belt, we've built a game-changer of a platform with cutting-edge data and technology that's reshaping the landscape of SME lending. Say goodbye to lengthy applications and hello to lightning-fast decisions! In just minutes, SMEs across the UK can … meaningful, human support as well as fast, hassle free processes to deliver an unbeatable customer experience. The role Working closely with stakeholders across Product, Technology, Sales, Brand and Marketing, Data, People and Compliance to provide comprehensive, pragmatic and timely legal advice on all kinds of business initiatives including intellectual property, data protection and privacy and financial … Partnering with various teams to assist new product design and implementation from a legal perspective; and advise on use of emerging technologies such as robotic automation and artificial intelligence, data security and data strategy. Advising on and drafting a range of contracts including our customer terms and conditions, technology service contracts with a particular focus on payment processing More ❯

channels. This position focuses on operational system performance and order lifecycle efficiency—less on financial reporting—and requires strong technical and stakeholder collaboration skills to continuously improve system reliability, data flow, and integration across our post-purchase and logistics technology landscape. What will you be doing? System Administration and Support: · Manage and support Alumio (iPaaS), NetSuite, WFX PLM, and … end users are confident and capable with system functionality. System Development: · Lead the evolution of a scalable, modern back-office system architecture. · Manage APIs and integrations that support seamless data flow across order, warehouse, and customer service systems. · Support the integration and automation of fulfilment and post-purchase processes into the Club’s broader tech stack, including the commerce … engine and customer platforms. · Ensure compliance with data privacy and cybersecurity best practices. · Drive innovation by implementing system upgrades, partner tools, and new post-purchase technologies to improve order flow and customer experience. · Collaborate with key internal stakeholders across Retail, Distribution, Fan Services, Membership, and E-Commerce. · Work with third-party partners across ERP, middleware, EPOS, data More ❯

Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience More ❯

Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience More ❯

Assessments and Operational Effectiveness Testing of relevant TMS Processes Ensure service level agreements and quality metrics are met for both individual and team performance. Collaborate with internal teams, including Data Analytics, Escalations, Financial Crime Compliance, and Learning & Development to launch or improve workflows and processes Utilize a deep understanding of metrics to drive data-driven recommendations Continuously add … a high-growth and fast paced organisation Strong planning skills; able to manage multiple priorities and tasks Travel requirements up to 10% to Coinbase offices and vendor locations Strong Data Analytics knowledge (Excel or Google Sheets) Nice to haves: Knowledgeable in the area of virtual currencies, particularly in the context of AML/CTF Knowledge of blockchain analytics tools … access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here) . Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may More ❯

Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience More ❯

Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience More ❯

Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience More ❯

Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience More ❯