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.
This role involves leading a small development team, setting engineering standards, and delivering both strategic and tactical technology solutions. You will work with Product Managers and business teams, apply modern DevOps practices, and explore emerging technologies like AI and machine learning.
This role involves hands-on full stack development, primarily using .NET, C#, Azure, and React, while also guiding a small development team and collaborating with Product and Architecture teams. The focus is on building purposeful solutions, solving real problems, and integrating AI technologies.
This role involves teaching and developing innovative undergraduate and postgraduate programmes in data science and AI. You will apply core mathematical, statistical, and computational concepts to help students work on real-world projects, using state-of-the-art facilities and equipment.
This role involves refining and retraining existing cardiothoracic CT AI models to ensure they operate robustly across multiple clinical datasets. You will tackle issues like scanner heterogeneity, data quality, and model failure modes, and develop reproducible validation workflows. The position is part of the CAPTURE-PH programme, focusing on medical imaging AI for pulmonary hypertension.
This role involves developing a formally-verified reference monitor on top of seL4 for secure AI agent containment, exploring AI-assisted theorem proving, and collaborating with an international team of experts in formal verification, security, and AI. The project aims to create machine-checked security guarantees and enhance the seL4 proof base in Isabelle/HOL.
This role involves defining the architecture, engineering standards, and delivery of next-generation Agentic AI and Generative AI solutions within a leading UK bank. Responsibilities include designing multi-agent systems, production-grade LLM and RAG architectures, and ensuring AI security and governance. The role also requires leading a team of architects, engineers, and data scientists while shaping AI strategy and roadmaps.
Conduct research on formal verification and AI-assisted theorem proving within a collaborative project involving seL4 and Isabelle/HOL. Develop a verified reference monitor for AI agent containment and explore AI techniques to enhance formal verification workflows. Work closely with partner institutions at Sheffield and Melbourne.
The role involves developing advanced AI and remote sensing methods for forest monitoring and illegal logging detection, focusing on open-set recognition and deep learning frameworks for spatio-spectral-temporal UAV imagery. The postholder will work across the research pipeline, from data processing to model deployment, and contribute to an interdisciplinary project involving computer vision, machine learning, and geospatial analysis.
This role involves leading a small development team, shaping delivery and engineering standards, and working with Product Managers to prioritize and allocate work. You will be hands-on with full-stack development using .NET, C#, Azure, and React, while also exploring emerging technologies like AI and machine learning.
