LocationRemote working (anywhere in the UK)Salary: £78,000 to £85,000 (including a £10,000 market rate allowance), plus a further £5,000 for candidates based in London.About the jobJob summaryThis post is open to applicants who can meet the College’s nationality, UK residency...
As Head of AI, you will lead the development and implementation of AI strategies, governance, and capabilities at LPPA, a leading pension administration company. You will work closely with the CTO and executive team to identify and deliver AI opportunities that enhance operational efficiency, service quality, and member outcomes. Key responsibilities include building the AI team, establishing governance frameworks, and fostering AI adoption across the organization.
Develop and deploy advanced computer vision systems for high-stakes defence applications, bridging cutting-edge research with real-world deployment. Lead technical strategy, mentor teams, and contribute to business development through bids and client engagement. Work in a hybrid model with regular on-site client collaboration across the UK.
Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers. Translate AI research into robust, real-world applications for defence and security environments. Work across the full development lifecycle, from research to deployment on cloud and edge platforms.
This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance on a variety of projects.
This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance.
This PhD studentship focuses on developing vision-language models (VLMs) to improve micro-expression analysis by combining subtle facial motion detection with language-based reasoning. The research aims to create more interpretable and trustworthy AI systems for human-centred applications, particularly in healthcare-related affect analysis. The role involves both research (60%) and teaching (40%) as part of a part-time doctoral programme.
Lead a team building offline scene understanding models that evaluate and explain the behavior of autonomous driving systems. The role involves technical leadership in adapting on-vehicle and foundation models for high-fidelity simulation and counterfactual analysis, with outputs directly informing model development and customer deliverables. Focuses on scalable, production-grade ML systems in a compute-rich offline environment.
Develop and optimise machine learning and computer vision algorithms for real-world perception systems, focusing on object detection, image classification, and deep learning. Work on end-to-end algorithm development from research to deployment, with responsibilities in data analysis, model improvement, and mentoring. The role involves solving complex technical problems in AI and image processing within a collaborative engineering environment.
This role involves managing a project to build computer vision AI capabilities, working closely with clients, delivery contractors, and stakeholders. Responsibilities include maintaining project governance, ensuring clear communication, and adapting to evolving requirements in a fast-paced environment.
AI Research EngineerCentral London (Office-Based 4-5 Days per Week)£80,000 - £120,000 + Equity Package + Bi-Annual Salary Reviews + Annual Equity Refresh + 4 Weeks Remote Working AbroadAre you an AI Research Engineer looking to work at the forefront of...
This role involves developing end-to-end machine learning systems integrated with advanced electronics for defence and security applications. You'll work across diverse domains such as computer vision and generative models, rapidly prototyping and deploying models into functional hardware systems. The role emphasizes innovation, rapid iteration, and close collaboration in a technically driven, low-management environment.
Software engineering at the frontier of AI and defenceThis team is motivated by saving lives in war affected regions and on the battlefield. They believe that by combining advanced technologies from different sectors they can fundamentally change the effectiveness of...
This internship involves researching and developing GPU-accelerated techniques for AI workloads, collaborating with experts to optimize complex algorithms, and contributing to the design of next-generation hardware and software. You will also publish and present optimization techniques to the developer community.
This internship involves researching and developing GPU-accelerated techniques for deep learning, machine learning, and AI workloads. You will collaborate with technical experts to optimize complex algorithms, publish findings, and influence the design of next-generation hardware and software.
Develop an engineering-grade spiking neural network engine for machine vision applications in defence and security contexts. Translate advanced research into robust production software using C++ and machine vision techniques. Collaborate with researchers and engineers on SNNs, CNNs, and Transformers, with integration into operational systems.
This role involves leading software development across AI and computer vision projects, spanning research, product, and service development. The engineer will contribute to all stages of the SDLC, from design to deployment, while working in multidisciplinary teams. Emphasis is placed on innovation, technical leadership, and applying expertise in low-TRL technology development.
