Oxford, Oxfordshire, South East, United Kingdom Hybrid / WFH Options
Hays
the infrastructure and enterprise servicesunderpinning our clients' programme activities. Their project portfolio spans arange of disciplines, including IT Security, Networks, Applications, Telephony,Cloud, Infrastructure, Data Management, and High-Performance Computing. Your new role As a Cybersecurity Subject-Matter Expert (SME), youwill be integral to the delivery of the cyber … tailor responses to deal with fast-paced situations. Proven people & stakeholder management skills. Knowledge of Information Security standards,legislation, and practices, including the GDPR & DataProtection act 2018. Experience with a range of IT systems (bothon-premises and cloud-based). Knowledge of technical areas, such as antivirus more »
Employment Type: Contract, Work From Home
Rate: £450.0 - £500.0 per day + Up to £500 Per day
detail and excellent time management Desirable: Experience in creating content with proven awareness for equality, diversity and inclusivity An understanding of the principles of dataprotection and how these impact media services Experience working collaboratively in a team and independently, managing own workload Experience in equipment management and more »
secure operation of AI and ML systems. Responsibilities: Develop and own robust enterprise security architecture for AI/ML systems, CI/CD and data pipelines. Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. Conduct … ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ML applications, models, algorithms, and data pipelines. Define and … enforce robust access controls, authentication mechanisms, and encryption standards to safeguard AI/ML systems, training data, provenance, and any sensitive data. Stay abreast of emerging AI security threats, trends, and technologies, evaluating their impact and proactively adapting security measures to mitigate potential risks. Provide technical guidance and support more »
secure operation of AI and ML systems. Responsibilities: Develop and own robust enterprise security architecture for AI/ML systems, CI/CD and data pipelines. Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. Conduct … adversarial test specification, development, and execution. Define and enforce robust access controls, authentication mechanisms, and encryption standards to safeguard AI/ML systems, training data, provenance, and any sensitive data. Stay abreast of emerging AI security threats, trends, and technologies, evaluating their impact and proactively adapting security measures to … security tools, technologies, and frameworks to enhance the overall security posture of AI/ML and other business systems. Develop and maintain relationships between data scientists, data engineers, developers, operations (DevOps, DataOps, MLOps) and business unit leaders to govern and support scalability of the ML and AI initiatives. more »
overcoming problems Previous experience of working in the NHS with exposure to Healthcare Systems and applications. Awareness and understanding of policies including GDPR & IG, DataProtection Act, IT security, Health & Safety principles and patient data confidentiality Desirable Exposure to ITIL Practices Previous experience or an understanding of more »
governing AI applications in the energy sector and the clients opportunity to influence their development. Interpret and apply relevant regulations, including the EU General DataProtection Regulation (GDPR), EU Act and adhere to the five principles outlined by the AI Office in the UK. Apply expertise in AI … develop and implement a comprehensive framework for ethical AI use within the organisation. Collaborate with stakeholders, including colleagues in the legal and regulatory teams, data science and analytics, technology, developers and business leaders to integrate compliance considerations into existing processes and workflows and the AI development lifecycle. Engage with … machine learning technologies, including their capabilities and limitations. Experience working with regulatory frameworks, such as EU Act, GDPR, and a commitment to compliance and data protection. Key Competencies Required To Perform The Role: Excellent communication and interpersonal skills, with the ability to collaborate and effectively communicate complex regulatory and more »
