As a Senior AI Engineer at PoliceAI, you will lead the design, development, and deployment of AI-enabled products, translating policing needs into technical solutions. You will work with multidisciplinary teams to build secure, maintainable, and scalable services, and support the testing, evaluation, and validation of AI products.
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.
The role involves conducting cutting-edge research in Artificial Intelligence, particularly in perception and action, and teaching courses at undergraduate and master's levels. The successful candidate will supervise student projects and contribute to high-impact application domains like robotics, health, and the environment.
The role involves conducting cutting-edge research in Artificial Intelligence, particularly in perception and action, and teaching undergraduate and master's level courses. The successful candidate will join a top-ranked institution with strong support for research and collaboration.
This role involves collaborating with teams to secure AI and Machine Learning solutions, conducting threat modelling, and ensuring compliance with security standards. The position offers exposure to cutting-edge AI technologies and a dynamic, collaborative environment.
This role involves leading a team of four to drive technology innovation, assess and implement emerging technologies, and translate business strategy into actionable roadmaps. The focus is on improving efficiency, advancing capabilities, and ensuring resilience across the business.
This role involves designing, architecting, and managing complex research data pipelines for AI and algorithm development in a high-performing R&D team. Responsibilities include end-to-end data lifecycle management, scalable data infrastructure, and collaboration with cross-functional teams to drive innovation in patient monitoring technologies.
Design and build production-grade, AI-driven systems with a focus on safety, compliance, and scalability in regulated financial environments. Develop policy enforcement, behavioural monitoring, and evaluation frameworks for agentic AI workflows on a serverless AWS platform. Collaborate with AI, product, and compliance teams while mentoring engineers and shaping best practices in AI-augmented development.
Lead a product squad in technical decision-making and architectural direction, driving AI-powered feature development using LLMs, RAG, and agent frameworks within a regulated financial services environment. Mentor engineers while delivering production-grade, full-stack systems on AWS with Node.js, Python, and React. Collaborate across platform teams to build reusable, compliant-by-design solutions that integrate cutting-edge AI tooling across the SDLC.
This 12-week summer internship focuses on red teaming within CrowdStrike's Professional Services. Interns will shadow real red team engagements, conduct simulated tests, and develop projects to improve red team tooling and processes. The role offers exposure to cybersecurity operations, project management, and a supportive learning environment.
This 12-week summer internship focuses on red teaming within CrowdStrike's Professional Services. Interns will shadow real red team engagements, conduct simulated tests, and develop projects to improve red team tooling and processes. The role emphasizes learning consulting and project management skills while working in a remote, flexible environment.
This role involves collaborating with the open-source community, implementing support for new AI models, scaling proxy infrastructure, and designing custom infrastructure for research projects. The team focuses on building tools and infrastructure for AI security and evaluation, working closely with researchers and government entities.
This role involves developing and running advanced evaluations of frontier AI models in cybersecurity and autonomous systems, using cyber ranges and CTF environments to assess capabilities and risks. You'll work on pre-deployment testing, validate novel model behaviors, and support UK government decision-making on AI governance. The work is research-driven, technically rigorous, and operates at the intersection of AI safety, security, and policy.
