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.
This role involves developing and deploying machine learning models to enhance transaction monitoring systems for business banking, focusing on detecting financial crime. The engineer will work with large-scale datasets using PySpark and Python, build tree-based models like XGBoost, and translate complex data insights into actionable outputs. Collaboration with analytics teams and regular onsite presence in Glasgow or Edinburgh is required.
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, with a strong emphasis on governance and risk management.
This role involves working on the Core Technology Team at the AI Security Institute, building tools and infrastructure for AI security research. Responsibilities include collaborating with the open-source community, scaling proxy infrastructure, and supporting research teams with custom infrastructure.
This role involves pioneering research into agentic controls and forensics for future AI systems, focusing on scalable technical methods to detect and understand AI misbehaviour. You'll work with pre-release frontier models and have access to significant computational resources, operating at the intersection of AI safety, security, and policy. The position offers high autonomy to explore novel research directions with real-world impact on global AI governance.
This role focuses on improving the safety, fairness, and trustworthiness of next-generation large language models that interact with external resources and take autonomous actions. You'll design and implement data generation strategies, post-training algorithms, and evaluation methods, working closely with ML, policy, and product teams. The position emphasizes hands-on experimentation, statistical rigor, and responsible AI practices in a highly autonomous, research-driven environment.
Design and build robust platform systems to support AI research on chemical and biological risks, translating complex research needs into scalable infrastructure. Develop evaluation frameworks, LLM-based agent systems, and shared tooling in Python, collaborating closely with interdisciplinary researchers. Drive engineering excellence through architecture, mentorship, and infrastructure improvements within a government-embedded technical team.
