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.
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 role involves software testing, software releases, and customer support for an AI startup. You will work with Python, Bash, Linux, Docker, and AWS, and have the opportunity to develop skills in automation, cloud, and edge technologies in a fast-moving, collaborative environment.
Design and operate a secure, scalable AI platform infrastructure, building CI/CD pipelines and deployment workflows in collaboration with data science and engineering teams. Focus on observability, automation, and high availability using cloud-native technologies. Support AI workload deployment and agent infrastructure with a strong emphasis on performance, cost efficiency, and security.
This role involves designing, developing, testing, and deploying front-end and back-end components of Generative and Agentic AI applications. You will work with a tech-obsessed team, translating complex business challenges into AI-powered solutions and collaborating with cloud architects, data scientists, and product managers to take ideas from concept to production.
This role involves configuring and optimizing Databricks-based ML development and deployment frameworks, implementing model training and deployment capabilities, and building CI/CD pipelines for ML lifecycle management. You will lead the technical implementation of pilot models and develop reusable migration accelerators on the Global AI Platform.
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.
This role involves leading a small development team, shaping delivery and engineering standards, and working with Product Managers to prioritize and allocate work. You will be hands-on with C#, .NET, Azure, and React, while also guiding the team in building purposeful solutions and exploring AI and machine learning.
This role involves leading a small development team, shaping delivery and engineering standards, and working with Product Managers to prioritize and allocate work. You will be hands-on with full-stack development using .NET, C#, Azure, and React, while also exploring emerging technologies like AI and machine learning.
This role involves collaborating with engineering to build robust data foundations, creating actionable dashboards, conducting deep-dive analytics, and leveraging AI tools to automate insights. The Data Scientist will also support A/B testing and communicate findings to influence customer success strategies.
This role involves designing and architecting enterprise-scale AI, data, and automation solutions, working closely with customers to translate their needs into technical designs and implementations. You will focus on generative AI, RAG, vector databases, and multi-agent systems, using platforms like OpenAI, Azure OpenAI, and Google Gemini.
This role involves leading a team of four to drive technology innovation, assess and implement emerging technologies, and translate business strategy into actionable roadmaps. The focus is on improving efficiency, advancing capabilities, and ensuring resilience across the business.
This role involves delivering advanced technical AI and ML training to engineers and data scientists, designing and developing curriculum and learning solutions, and working with enterprise clients to understand their technical learning needs. The position offers ongoing upskilling in the latest AI technologies and is suitable for experienced AI/ML professionals with strong communication skills.
The AI Accelerator Lead will establish and drive a strategic initiative to unlock enterprise-wide value from AI, combining technical leadership with programme-level influence. Responsibilities include designing and operating the AI Accelerator, exploring advanced AI techniques, and building high-impact prototypes that evolve into scalable solutions.
This role involves leading the design, development, and deployment of AI-powered solutions such as automation, RAG, and LLM-based workflows. The engineer will collaborate with stakeholders to deliver strategic AI initiatives, ensure systems are secure and scalable, and mentor a growing engineering team. The position is based in central Cardiff with hybrid working and focuses on building advanced AI capabilities within a technology-driven organisation.
This role involves leading the technical direction of a new Digital & AI capability, designing and developing AI-powered applications, and establishing best practices. You'll work hands-on with modern technologies like React, Node.js, and AWS while mentoring developers and collaborating with cross-functional teams.
