City, University of London

Job Purpose The Professional Officers Division (POD) houses two Innovation Centres – Rapid Product Innovation and Development (RaPID) Centre and SIT-Poly Innovation Centre of Excellence (SPICE) Centre. The RaPID Centre aims to guide businesses in their innovation and value creation activities through rapid product development and sample production while the SPICE Centre aims to support local Small and Medium Enterprises (SMEs) in their technology-driven transformation, innovation and talent development initiatives. These Innovation Centres house a dedicated pool of Professional Officers who come with specialised and deep technical skills acquired through extensive industry experience. Professional Officers work with industry partners to co-create commercially viable solutions. They deliver on projects that help industries and businesses to move up the innovation value chain. While working on these projects, Professional Officers will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands. The success of these initiatives will bring about deeper collaboration with key industry stakeholders that will translate the industry engagement into more innovation projects with SIT. Key Responsibilities Lead or co-lead innovation projects with industry. Involve in customer engagements including gathering of systems requirements and writing project scope. Involve in the full development life cycle, i.e., design, development, and testing Generate technical proposals, design documents, test documents. Manage laboratories and equipment to support academic programmes and applied research. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Job Requirements A degree in Computer Science or related Engineering discipline. Possessing a master’s degree, PhD degree and relevant certifications will be an added advantage. Experienced in developing machine learning and generative AI solutions for deployment into production. Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch, Keras) Strong programming skills in Python/Java/Javascript. Knowledge in LLM, RAG, LangChain would be advantageous. Knowledge of cloud computing and AI deployment (AWS, Google Cloud, Microsoft Azure) would be advantageous. Excellent problem-solving, analytical, and creative thinking skills. Work independently, as well as within a team, to ensure that the project can meet the milestones adhering to the stipulated timeline. At least 2 years working experience in AI/ML software development.

Durham University is seeking to appoint to the post of Director of Health, Safety, Resilience and Security Risk to provide leadership, management, guidance, and support for all aspects of health, safety, business continuity and resilience, and security risk across the University. You will oversee the corporate strategy, objectives, arrangements, and infrastructure for the portfolio, as well as monitoring the levels of compliance, conformity, resilience, and implementation, while keeping the University Executive Committee (UEC) and other senior leaders informed of any issues, providing internal independent advice and guidance, across the University. You will have responsibility for developing and maintaining the associated management systems, and reviewing and refreshing existing policies and processes, as required.In addition, you will develop associated strategies, promote best practices and ensure full compliance while reinforcing a positive risk management culture across the University. This role, while positioned within the University Secretary's Office, has responsibilities that span across the entire University. The post-holder is expected to provide expertise, guidance, and advice to ensure a safe and secure environment for all academic, student, professional service, and visitor-related activities. The University Secretary's Office ensures regulatory and legal compliance across the University and oversees the framework for good governance to ensure that our decisions are robust and appropriate. The closing date for applications is midnight on Friday 23 January 2026. Interviews will be held on Wednesday 11 February 2026.

Job Purpose At SIT's Professional Officers Division, we bring our rich industry experience and technical skills into our work, creating a better physical environment where learning and innovation take place. We work with teaching programmes and innovation projects to improve the skills of our students and to strengthen & energise our industry and the wider community. A Professional Officer has a combination of job responsibilities relating to the following: participate in and manage innovation projects, manage digital technology related resources, and mentor & facilitate student learning. The Centre for Digital Enablement (CoDE) drives the initiatives to elevate digital competencies for academic staff and students within SIT. It works with various stakeholders, both internal and external, in upskilling digital literacy across the organization through literacy programmes and digital innovation projects in relation to the Digital Learning Spaces (DLS). For this role, you will spearhead the various AI enablement programmes in SIT, manage the AI related resources and initiatives within CoDE, and lead AI projects within SIT and with industry partners to support teaching and learning objectives. You will also be responsible for developing and delivering digital literacy courses to undergraduate students and academic staff as part of the institutional drive to ensure our graduates are ready for a highly digitally-enabled workforce. Additionally, you’ll be required to mentor and facilitate student learning by participating in and managing student projects. Key Responsibilities AI Enablement Programmes Lead and oversee a range of AI enablement programmes to facilitate the growth of AI skills among SIT undergraduate students and academic staff. Develop an AI Competency Roadmap, providing guidance for SIT undergraduate students and academic staff in developing their AI competencies. Stay up-to-date with the latest developments in AI, ensuring the continued relevancy and currency of the AI enablement programmes and AI Competency Roadmap. Manage AI-related resources within the division such as the administration of software, hardware systems, and equipment. AI Projects Drive AI projects within CoDE to support teaching and learning objectives. Collaborate with industry partners, faculty, Professional Officers and other stakeholders to conduct applied research in AI related technologies. Supervise and mentor students in the development of AI projects. Teaching & Student Mentorship Develop and deliver digital skills literacy related courses or workshops to undergraduate students and staff. This includes development of learning contents and activities, providing consultations on digital skills/technology related queries, and assessment and grading of students’ work. Mentor and facilitate student learning by participating in and managing student projects. Any other matters as directed by Director/Deputy Director of CoDE. Job Requirements A good degree in Computer Science or a related field. Masters, PhD and/or relevant professional certifications would be advantageous. 10+ years of working experience, including at least 5 in Artificial Intelligence, Machine Learning, Analytics, or a related area.SIT Internal Proven experience in developing and deploying AI solutions. Strong programming skills in languages such as Python, TensorFlow, PyTorch, or similar. Proficiency in data preprocessing, model training, and evaluation techniques. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Keen interest in innovation projects, with demonstrated ability in developing solutions to technical problems. Possess strong supervisory skills and project management skills. Good interpersonal skills and ability to work independently, as well as within a team, to ensure that the project can meet the milestones adhering to the stipulated timeline. Enjoy working closely with students in an educational environment.