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 AI Governance Analyst will support the EMEA's AI Governance function, managing AI use case intake, providing initial guidance, tracking progress, and coordinating committee processes. The role involves maintaining governance artefacts, supporting remediation efforts, and developing training materials to enhance AI literacy within the organisation.
The AI Governance Lead will develop and maintain the organization's AI governance framework, ensuring safe, ethical, and effective use of AI. You will work across various teams to align AI practices with organizational strategy, legal requirements, and ethical principles.
This role involves leading research on Bayesian methods for AI evaluation and monitoring, publishing findings, developing open-source software, and guiding research assistants and students. The position is based in the Bayesian Governance Lab at the University of Oxford, focusing on dynamic AI systems and their governance.
Design and lead the architecture of enterprise-scale AI/ML and Generative AI systems on Google Cloud Platform. Focus on production-grade LLM, Agentic AI, and RAG solutions with strong governance, security, and scalability. Drive technical standards and MLOps practices across the AI lifecycle.
An Applied AI Engineer will work directly with enterprise customers to design, build, and deploy AI systems that solve real-world business problems. The role involves hands-on coding, system integration, and technical leadership to guide AI solutions from prototype to production, with a focus on reliability, safety, and measurable impact. The position requires deep technical expertise and strong collaboration with both customer teams and internal OpenAI groups.
This role involves working directly with quantitative investment and trading firms to apply OpenAI’s models and Codex to their research and development workflows. Responsibilities include identifying valuable opportunities, building and deploying AI systems, and guiding technical decisions to ensure production readiness and customer impact.
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.
Lead the design and deployment of enterprise AI and data transformation initiatives in highly regulated sectors, focusing on secure, scalable production systems. Guide technical roadmaps, mentor cross-functional teams, and ensure compliance with governance and security standards. Work across AI/ML, generative AI, and cloud platforms to deliver end-to-end solutions from concept to operation.
This role involves leading the technical delivery of AI, Machine Learning, and Algorithmic solutions for complex Defence and Security projects. You will work with multidisciplinary teams, provide technical oversight, engage with customers, and contribute to business development and technical standards.
This role involves designing and implementing backend security guardrails for Generative AI workflows, building and deploying enterprise-level GenAI and ML solutions, and integrating user interfaces. The position also includes working with cloud infrastructure and maintaining production applications.
This role involves designing and governing high-stakes AI systems for public sector clients, with a focus on responsible AI, model evaluation, and production MLOps. The engineer will establish technical standards, lead incident resolution for model safety, and build reusable AI capabilities like fine-tuned models and agent architectures. They will also mentor senior engineers, advise on technical roadmaps, and act as a trusted advisor to government clients on AI strategy and deployment.
This role involves configuring and optimizing Databricks-based ML development and deployment frameworks, implementing model training and deployment capabilities, and building CI/CD pipelines for ML lifecycle management. You will lead the technical implementation of pilot models and develop reusable migration accelerators on the Global AI Platform.
The Head of IT will lead the development and execution of the technology strategy, driving digital transformation, automation, and AI adoption. Key responsibilities include strategic leadership, technology governance, and ensuring secure, reliable, and scalable technology services.
This role involves working closely with business stakeholders and technical teams to translate requirements into practical digital solutions using AI and low-code tools. Responsibilities include building and deploying applications, automations, and AI solutions across Microsoft 365, Power Platform, SharePoint, Power BI, and Azure, while ensuring security and compliance.
