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.
You'll lead and contribute to technically challenging R&D projects, designing and building production-quality software to detect and respond to cyber threats. The role involves shaping technical direction, mentoring other engineers, and turning prototypes into scalable solutions.
You will develop and maintain the macOS codebase using modern C++ and Swift, contributing to the design and implementation of innovative cybersecurity solutions. The role involves rapid prototyping, structured development of platforms, and mentoring team members. You will work closely with cross-functional teams, participate in code reviews, and help advance Darktrace’s AI-driven methodology for detecting and responding to unknown cyber threats.
This role involves developing advanced software systems that integrate computer vision, adaptive AI, and sensor technologies to detect and track drones in dynamic combat environments. You'll work across the full stack—from cloud platforms to low-power embedded systems—on applications that have direct real-world impact in defence and security. The role offers mentorship from multidisciplinary engineers in a small, mission-driven team.
This role involves leading high-impact technical projects within Darktrace’s R&D team in Cambridge, focusing on advancing AI-driven cybersecurity solutions. You’ll provide strategic technical direction, mentor engineers, and innovate in detecting and responding to novel cyber threats. The position blends rapid prototyping with structured development, requiring deep expertise in software architecture, security, and distributed systems.
As a Mid-Level Software Developer, you will work on complex financial applications using modern technologies like Node.js, TypeScript, React, MongoDB, and Redis. You'll collaborate closely with product and business stakeholders, build CI/CD pipelines, and leverage AI-assisted development tools to enhance your coding and problem-solving capabilities.
This role involves designing, developing, and supporting digital solutions, automations, and integrations across the organization's website, CRM, and Microsoft technologies. You will work closely with colleagues to identify opportunities for AI and automation, develop secure solutions, and improve business processes.
Build and improve the AI engine powering interactive roleplay training with AI avatars, focusing on real-time performance scoring, feedback generation, and dynamic response logic. Work on applied machine learning models integrated into a product-driven environment, collaborating closely with engineering and product teams to enhance learning-by-doing experiences. The role emphasizes fast iteration and delivering tangible impact through scalable AI systems.
This role involves working closely with the Technical Support team to understand their systems and customer issues, improving internal systems through automation and AI, and collaborating with senior developers on software development tasks. As experience grows, the role will involve more development work and ownership of various technology projects.
This role involves designing and implementing security features for a core platform in an AI-driven engineering simulation environment. The developer will act as a security SME, conducting threat modeling, code reviews, and mentoring teams on secure coding practices. Key focus areas include authentication, authorization, and secure CI/CD workflows within a high-performance technical environment.
You will develop production-quality C++ components and APIs for NVIDIA’s AI-powered developer tools, focusing on agentic workflows, retrieval systems, and performance optimization. Collaboration with graphics, software, and hardware teams is key.
You will develop production-quality C++ components and APIs for NVIDIA’s AI-powered developer tools, focusing on Genie’s retrieval and agentic features. Responsibilities include building benchmarks, improving retrieval quality, and collaborating with graphics and hardware teams.
This role involves developing and maintaining critical software engineering tools and architecture to drive engineering efficiency, reliability, and continuous improvement. Responsibilities include maintaining AWS resources, enhancing CI/CD pipelines, and providing observability tools to support AI agentic workflows.
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 DevOps.
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 solutions with a focus on AI and modern DevOps practices.
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.
