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.
Design and build data pipelines from ingestion through transformation and modelling in a Microsoft-centric environment. Work across the full data lifecycle to support reporting, analytics, and AI initiatives, with opportunities to influence technical standards and develop Power BI solutions. Collaborate with stakeholders to translate business needs into scalable data architectures.
This role involves hands-on full stack development, primarily using Azure, .NET, C#, React, and Python. You will lead a small team, set engineering standards, and collaborate with Product and Architecture teams to deliver strategic and tactical technology solutions with a focus on AI and modern DevOps practices.
This role involves developing and deploying machine learning models to address business challenges, using Python and SQL to analyse large datasets and extract actionable insights. The Data Scientist will work closely with both technical and business stakeholders in a client-facing capacity, requiring strong communication skills. The position focuses on data cleaning, model evaluation, and delivering data-driven solutions within a consulting environment.
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.
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.
