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.
As a Senior Software Engineer, you will develop high-performance video and AI processing pipelines for use in the operating room, leveraging hardware acceleration and working in a multidisciplinary team to ensure robust and safe-by-design software for medical devices.
This role involves developing and integrating AI models for machine vision applications, focusing on software development, model training, and performance optimization. You will work with C++, C#, Python, and machine learning frameworks to create reliable and efficient solutions.
This role involves developing and integrating AI models for machine vision applications, focusing on software development, model training, and performance optimization. You will work with C++, C#, Python, and machine learning frameworks to create robust and reliable solutions.
This role involves designing, developing, and evaluating advanced algorithms for image processing, computer vision, and deep learning. You will work on cutting-edge imaging sensor technologies, collaborate with cross-functional teams, and support the integration of algorithms into larger systems.
This role involves developing and evaluating novel AI algorithms for MRI data analysis, specifically for quantifying iron distribution in the brain. The position is part of a multi-disciplinary research institute at UCL, focusing on advancing healthcare technology through computational and medical sciences.
Develop and lead the technical architecture for LiDAR and cross-sensor 3D sensing systems, focusing on calibration, synchronisation, and alignment across diverse vehicles and environments. Solve complex sensor-fusion challenges involving motion compensation, time synchronisation, and 3D geometry. Provide technical leadership and mentorship while productionising robust, scalable 3D sensing solutions for autonomous driving.
Design and productionize state-estimation systems fusing GNSS, IMU, and odometry for autonomous vehicles. Lead technical architecture, algorithm development, and real-time deployment across diverse platforms. Provide mentorship and cross-team leadership in robotics and sensor integration.
This internship involves researching and developing GPU-accelerated techniques for deep learning, machine learning, and AI workloads. You will collaborate with technical experts to optimize complex algorithms and contribute to the design of next-generation hardware and software at NVIDIA.
This internship involves researching and developing GPU-accelerated techniques for deep learning, machine learning, and AI workloads. You will collaborate with technical experts to optimize complex algorithms, publish findings, and influence the design of next-generation hardware and software.
Lead a team of engineers building foundational infrastructure-as-code platforms at a high-scale cybersecurity company. Drive cloud cost optimization, multi-cloud deployment standards, and SRE practices across distributed systems processing trillions of events daily. Collaborate on architecture design, incident analysis, and AI-driven workflow improvements in a flexible, innovation-focused environment.
This role involves leading a team of engineers to build and maintain scalable core infrastructure services on a distributed systems platform, focusing on self-service infrastructure-as-code, cloud cost optimization, and high-availability standards across multi-cloud environments. The Engineering Manager will drive technical strategy, mentor senior engineers, and collaborate on architecture design while enforcing SRE and DevOps best practices. The position emphasizes AI-driven decision-making and innovation within a high-performance cybersecurity environment.
A Data Scientist in the Delivery team will work closely with Simulation and Machine Learning Engineers to transform AI models into practical engineering tools. You'll preprocess and analyze complex data, build deep learning models combined with optimization methods, and develop scalable data pipelines for production. The role involves direct collaboration with customers across industries like Aerospace, Energy, and Semiconductors, including on-site work globally, ensuring seamless integration of data science solutions with physics-based simulations.
This role involves developing and deploying AI-driven models for high-fidelity, multi-physics simulation in engineering and manufacturing. The Principal Data Scientist will lead technical initiatives, design deep learning architectures, and integrate predictive models with simulation systems. They will work closely with cross-functional teams and customers to solve complex engineering challenges, mentor junior staff, and drive R&D innovation across global sites.
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.
This role involves developing and maintaining scalable data pipelines for single-cell multi-omics data, integrating transcriptomics, chromatin accessibility, proteomics, and imaging to build multimodal datasets for machine learning. The Senior Data Scientist will work closely with wet lab scientists and ML teams to design experiments, evaluate biological relevance of models, and drive insights into cellular decision-making. The position emphasizes advanced computational analysis, interdisciplinary collaboration, and the use of modern ML tooling in a high-impact drug discovery environment.
