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 working as a link between business users and technical teams to identify and solve process inefficiencies using technology, data, and AI. Responsibilities include documenting workflows, analysing data, and supporting the implementation of automation and technology solutions.
This role involves working alongside experienced engineers to resolve technical issues, support system performance, and assist with software development and testing. You will gain hands-on experience with enterprise technologies, cloud applications, and modern software engineering practices, while benefiting from structured mentoring and career development.
This role involves hands-on work in both mechanical and electronics engineering, from CAD design and electronics development to prototyping, testing, and production. You'll work closely with senior engineers and contribute to the full product development lifecycle of an innovative AI-enabled consumer product.
This role involves contributing to the design and development of technology solutions within Barclays' digital infrastructure, with a focus on innovation and collaboration across teams. The apprentice will work on real-world projects in AI and data science, applying theoretical learning to practical banking challenges. Emphasis is placed on operational excellence, risk management, and delivering customer value through technology-driven solutions.
The PhD position involves conducting original research in Physical AI, focusing on vision-language-action models, world models and planning, and adaptation and edge intelligence. The candidate will join the A3 Lab, supervised by Associate Professor Behzad Bozorgtabar and co-supervised by Professor Qi Zhang, and will target publications at top-tier machine learning, computer vision, and robotics conferences.
This PhD position focuses on developing an AI agent to detect and manage heat stress in cattle barns. The role involves designing and implementing machine learning models, integrating sensor data, and providing actionable recommendations to farmers.
This role involves developing software across desktop, embedded, robotics, and cloud platforms, with exposure to computer vision, AI, high-performance computing, and IoT. The engineer will work in an interdisciplinary team using C++ and C#, solving complex technical problems in real-world industrial applications. It offers hands-on integration of software and hardware with strong support for learning and career growth.
This role involves leading scientific research projects, developing new approaches to enhance imaging performance, and working with advanced technologies like X-ray, optics, and AI. Responsibilities include designing experiments, developing algorithms, and collaborating with engineering and operations teams.
Develop an intelligent 3D visualisation platform for rail stations using spatial computing and AI, creating accessibility-aware immersive walkthroughs. Work with 3D Gaussian Splat models, LiDAR, and sensor data fusion, integrating conversational AI to deliver personalised, interactive experiences. Collaborate with industry and academic partners to deploy and disseminate innovative solutions.
This role involves researching and developing AI/ML approaches for power electronics applications, designing and simulating power electronic converter systems, and optimizing converter design and performance. You will work closely with experienced engineers and researchers to translate academic research into practical engineering solutions, focusing on sectors like electric vehicles, rail, and renewable energy.
This role involves designing and implementing machine learning solutions to enhance decision-making and operational performance in a growing manufacturing supply business. The candidate will work with complex datasets, lead data science initiatives, and introduce new ways of working to a traditionally operated company.
This internship offers hands-on experience working in a software engineering team at a fast-growing AI company. You will collaborate closely with experienced engineers, contribute to real projects, and receive mentorship throughout the 8-week program.
The Applications Engineer role at Luminance involves designing and developing web-based applications that leverage AI technology for legal use cases. The team uses a modern tech stack, and candidates can specialize in UI, backend, or a mix of both. The role is open to both graduates and senior candidates with relevant experience.
Design and implement production-grade machine learning and AI workloads, focusing on MLOps, GenAI, and large-scale data systems. Provide technical leadership during sales cycles, build MVPs, and guide customers in adopting Databricks for AI applications. Mentor teams and contribute to product strategy through customer feedback.
This role involves leading high-impact research in AI, developing and delivering high-quality curricula, and contributing to university service. The position is research-focused and offers opportunities for interdisciplinary collaboration and technology transfer.
