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 will develop intelligent embedded systems using Python, C, and C++, apply machine learning and computer vision to real-world applications, and work with microcontrollers, sensors, and connected hardware. You'll collaborate directly with clients to shape and deliver innovative solutions, taking projects from concept to finished product.
The role involves translating research into commercial solutions, developing physics-informed models for ship performance, and integrating these into NeuralShipper, a platform for automated vessel design. The engineer will work on multidisciplinary optimization and wind-assisted propulsion systems, collaborating with industry stakeholders.
Lead the design and deployment of enterprise AI and data transformation initiatives in highly regulated sectors, focusing on secure, scalable production systems. Guide technical roadmaps, mentor cross-functional teams, and ensure compliance with governance and security standards. Work across AI/ML, generative AI, and cloud platforms to deliver end-to-end solutions from concept to operation.
Lead the development and deployment of cutting-edge, production-grade machine learning systems for high-impact clients, particularly in the defence sector. Design scalable ML infrastructure, define best practices for ML deployment, and act as a technical advisor while mentoring junior engineers. Work in a cross-functional environment with strong emphasis on ethical, reliable AI and client collaboration.
This role involves leading high-impact AI safety research, focusing on red teaming and evaluations for frontier models in high-risk domains such as cybersecurity and national security. The scientist will drive technical research from concept to publication, shape safety strategies, and support real-world deployment of responsible AI systems through collaboration with government and commercial partners.
This PhD studentship focuses on developing a computational framework that combines computer vision, computer graphics, and machine learning to improve the design and simulation of camera lenses. The project aims to create a system for both forward simulation and inverse design, accelerating the lens design process and enhancing image quality.
Lead the technical direction of complex AI/ML projects, designing scalable production systems and guiding engineering teams in high-risk environments. Drive model deployment, lifecycle management, and integration into large-scale platforms while setting architectural standards. Mentor engineers, define roadmaps, and advise on emerging AI technologies to ensure high-impact, responsible AI delivery across public sector clients.
As a Machine Learning Engineer, you will build and deploy production-grade ML systems, collaborate with cross-functional teams to solve critical client challenges, and lead technical scoping and architectural decisions. You will work on high-stakes, high-impact missions in national security and AI safety, ensuring AI is secure, trustworthy, and safe for all.
The role involves applying AI and machine learning to real-world problems, ranging from early-stage research to developing deployable solutions. You will work on a variety of projects, including designing and deploying machine learning systems, conducting experiments, and collaborating with clients to deliver high-quality technical outcomes.
The Senior Generative AI Architect will design, develop, and implement advanced generative AI solutions, ensuring scalability, security, and ethical considerations. They will lead the architecture and deployment of AI models, collaborate with cross-functional teams, and stay updated on the latest AI advancements.
This role involves leading software development projects, participating in multidisciplinary teams, and providing subject matter expertise in AI and computer vision. Responsibilities include project planning, software design, development, testing, and deployment, as well as contributing to continuous improvement and technical documentation.
This role involves leading software development across AI and computer vision projects, from research through to deployment, within multidisciplinary teams. The engineer will contribute to product and service development, including AI Assurance, and provide technical leadership in design and architecture. Emphasis is placed on innovation, continuous improvement, and delivering engineering solutions for clients in complex technical domains.
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 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.
As a Machine Learning Team Lead, you will guide a team of ML engineers in developing and deploying cutting-edge speech recognition models. You will mentor the team, ensure robust and scalable solutions, and collaborate cross-functionally to align with business objectives.
