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 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.
As a Software Engineer at Quantexa, you will work on the Decision Systems team, developing tools and platforms that help organizations detect patterns and risks. Your role involves enhancing scoring capabilities, improving system performance, and collaborating with product teams to deliver impactful solutions.
This role involves building and owning core platform capabilities, including application infrastructure, APIs, and shared services. You will develop full stack applications using Python, React, and TypeScript, and integrate AI and LLM-powered workflows into production environments. The position offers significant ownership and the chance to influence technical direction within a high-performing AI and innovation team.
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.
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.
Design, build, and operate scalable, reliable infrastructure supporting AI systems like ChatGPT and the OpenAI API. Focus on performance, observability, security, and automation while collaborating with research, product, and engineering teams. Improve developer experience and system resilience at global scale.
Design and build automated test frameworks across API, UI, and integration layers, embedded within CI/CD pipelines. Collaborate closely with engineering teams to implement shift-left testing, improve code quality, and influence test strategy. Work in a modern, containerised environment with a focus on scalability, reliability, and proactive quality assurance.
As a Software Engineer in the National Security and AI Safety team, you will build and deploy production-grade machine learning systems, collaborate with cross-functional teams, and ensure the technical feasibility and impact of AI solutions. You will work on high-stakes, high-impact projects, leading technical scoping and architectural decisions, and act as a technical advisor to clients and partners.
As a New Grad Software Engineer, you will work on meaningful, customer-facing projects from day one, including building reinforcement learning pipelines, developing evaluation infrastructure, and creating agentic AI applications. You will collaborate closely with industry leaders and contribute to impactful AI solutions for the public sector.
Design and build full-stack internal tools and platforms that empower non-technical users by identifying patterns in workflows and abstracting them into reusable systems. Work closely with stakeholders to define priorities, iterate on feedback, and ship features that drive autonomy across the organization. Use Python, TypeScript, and React in a high-impact, collaborative environment focused on AI safety and reliability.
This role involves building and maintaining scalable Python libraries and tools that support machine learning engineers and researchers in training, evaluating, and scaling AI models. You'll work on creating robust abstractions for distributed training, data pipelines, and model evaluation workflows, with a focus on reliability, performance, and usability across large GPU clusters and cloud infrastructure. The position is embedded within an AI platform team driving autonomous driving technology development.
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.
Develop AI-driven video processing solutions within a deep tech environment, focusing on scalable media delivery and real-time systems. Work with Python and modern cloud infrastructure, integrating AI and video technologies to enhance content delivery. Collaborate on building maintainable, tested software for immersive media platforms.
Design and scale backend systems for enterprise GenAI products, focusing on reliability, performance, and deployment across hybrid and multi-cloud environments. Build core services and APIs that securely integrate AI models with enterprise data sources. Architect distributed systems for data processing, inference, and orchestration of large-scale AI workloads.
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.
