IoT and Machine Learning Security Engineer KTP Associate

City St George’s, University of London (CSGUoL) is the University of business, practice and the professions and brings together the expertise and excellence of City, University of London and St George’s, University of London into one institution.

The combined university is one of the largest suppliers of the health workforce in the capital, as well as one of the largest higher education destinations for London students.

Combining a breadth of disciplines across health, business, law, creativity, communications, science and technology, we are creating a ‘health powerhouse’ for students, researchers, the NHS and partners in uniting a world-leading specialist health university. We are now one of the UK’s largest health educators, where staff and students have access to an expanded team of brilliant academic and professional services colleagues, combined resources and facilities and more interdisciplinary opportunities.

Background

CSGUoL and IntelliCasa are recruiting for a candidate to develop a system called LISTENER to enhance IoT security and reliability within residential and commercial automation control systems.

Working virtually with attendance at CSGUoL and IntelliCasa’s offices in London, the candidate will have the opportunity to apply their academic and business knowledge to this commercial project.

IntelliCasa designs and installs smart home and commercial automation systems. The KTP will support IntelliCasa to develop an AI-driven, hardware-based system that embeds threat detection/prevention directly into IoT network

Responsibilities

The candidate will configure IoT device hardware configuration, conduct Hardware/Software requirement analysis, embed cybersecurity, develop software development, and embed Data Science and Machine Learning capabilities.

Specifically, the candidate will collect network and device health data, extract relevant features from data to train ML models, configure IoT devices, train/test verifiably robust ML models using formal methods, integrate ML and AI models into LISTENER, integrate software-hardware for intrusion/anomaly detection and prevention, and minimise false alarms to guarantee IoT devices are not interrupted unnecessarily.

Person Specification

We are looking for a candidate with a BSc and MSc in Computer Science or Electrical Engineering, with focus on cyber security or AI/data science. Knowledge of AI and ML models, Data Science and security engineering is essential, as is working with IoT hardware.

The ideal candidate will have knowledge of software for mobile app development, and of smart home systems, IT/AV systems and home security systems, as well as experience of working within the secure software design sector.

Additional Information

Closing date for application: 9th November 2025 at 11:59pm.

City St George’s offers a sector-leading salary, pension scheme and benefits including a comprehensive package of staff training and development.

City St George’s, University of London is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture for our whole community, including staff, students and visitors.

We welcome applications regardless of age, caring responsibilities, disability, gender identity, gender reassignment, marital status, nationality, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation and socio-economic background.

City St George’s operates a guaranteed interview scheme for disabled applicants.

The role is based at Boost’s offices in London.

Regardless of where colleagues are working, City St George’s, University of London’s premises will be their primary and contractual place of work.

The University of business, practice and the professions.

Advert information