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 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.
Develop and execute validation strategies for ADAS functions within Wayve’s AI Driver system, using simulation and real-world testing to ensure safety and performance. Define metrics, test coverage, and acceptance criteria in collaboration with cross-functional teams. Analyze results and drive validation processes from concept to implementation in a fast-paced, innovative environment.
This role involves developing and maintaining high-scale simulation systems for Wayve’s embodied AI driving technology. You'll work across C++ and Python to integrate components of the end-to-end driving stack, improve simulation accuracy and reproducibility, and support both open-loop and closed-loop workflows. The position emphasizes debugging complex systems, performance optimization, and close collaboration with robotics, autonomy, and data teams to deliver reliable, scalable simulation infrastructure.
This role involves leading a team to integrate Scale AI's cutting-edge AI capabilities with enterprise clients' technical infrastructure. Responsibilities include designing custom integrations, developing production-grade AI agents, and ensuring successful deployment and adoption of AI systems in production environments.
This role involves driving adoption of NVIDIA's AI and computing platforms among independent software vendors (ISVs) and developer communities. The Senior Developer Relations Manager will act as a technical advocate, supporting partners with integration, co-innovation, and solution development while gathering field insights to influence internal product roadmaps. The position emphasizes deep technical engagement, strategic partnerships, and cross-functional collaboration across engineering, product, and marketing teams.
The Senior Developer Relations Manager will engage with software solution providers, developers, and industry professionals to foster the adoption of NVIDIA’s advanced AI and computing platforms. Key responsibilities include serving as a technical advisor, accelerating workloads, and guiding partners through onboarding and integration.
This role involves researching and developing methods to detect misalignment in advanced AI systems, conducting pre- and post-deployment evaluations, and sharing findings with AI companies and governments. You will also contribute to public research and build tools to improve alignment evaluation processes.
Design and build software to manage large-scale GPU infrastructure supporting ChatGPT inference workloads. Develop internal platforms, automation tools, and AI-powered agents to improve fleet observability, reliability, and operational efficiency across thousands of GPUs. Collaborate with research, platform, and systems teams to optimize compute utilization and scalability.
Lead a team building scalable, secure infrastructure to deploy AI applications in enterprise environments. Focus on production reliability, platform automation, and bridging AI research with real-world deployment. Work closely with product and security teams to improve developer velocity and operational excellence.
This role involves working with the Music team to develop and maintain backend systems and APIs that power ElevenLabs' AI-driven music and sound effects tools. You will collaborate with researchers, engineers, and go-to-market teams to bring new models and features into production, often acting as a product manager to drive projects from ambiguous goals to launch.
This role involves building and managing datasets and evaluation systems for AI safety, translating safety policies into actionable data criteria, and creating scalable processes for data collection, labelling, and model assessment. The Data Scientist will work across policy, research, and engineering to ensure models are evaluated using real-world data and robust quality standards. A strong focus is placed on developing reproducible pipelines and operationalising safety frameworks in a fast-moving AI environment.
This role involves designing, developing, and verifying safety-critical embedded systems for autonomous platforms, including runtime assurance, mission safety, and certification. You will work closely with a specialized engineering team to ensure compliance with safety standards and regulatory requirements.
This role involves designing and developing safety-critical embedded software for autonomous systems, focusing on runtime assurance, mission safety, and regulatory compliance. You will work with high-integrity languages like SPARK Ada and contribute to the certification of autonomous systems in aerospace and land domains.
This role involves building and scaling the Frontier Decision Intelligence platform, focusing on creating robust APIs and SaaS user experiences using Python and TypeScript. The engineer will solve complex, real-world problems in sectors like healthcare and defence, working closely with data scientists and product teams to deliver production-grade AI solutions. The position emphasizes technical leadership, system architecture, and innovation in a cross-functional environment.
Design and develop safety-critical embedded software for autonomous systems within a specialist engineering team. Work on evolving software architecture in a regulated environment with real-world impact. Role involves office-based collaboration three days per week in Oxfordshire.
