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.
Lead a team of data scientists who deliver experimental and observational analysis to accelerate the development of Wayve’s end-to-end AI for autonomous vehicles. Drive evals and insights from real and simulated driving data, enabling engineering teams to rapidly iterate and meet customer commitments. Scale impact through people, tooling, and automation in a fast-paced, innovative environment.
This role involves building and maintaining scalable data pipelines, designing data models, and developing machine learning solutions to support AI initiatives and business intelligence. You will work closely with stakeholders to translate business challenges into technical solutions, using tools like Microsoft Fabric, Databricks, and PySpark.
This role involves leading and supporting the delivery of AI, GenAI, and Data Science projects across the full machine learning lifecycle. You will work closely with clients to understand their business challenges, deliver innovative solutions, and demonstrate the value of AI and advanced analytics through workshops and presentations.
As a Senior Platform Engineer in Medtronic's AI and Data Science Platform team, you will design, build, and maintain cloud and on-prem infrastructure to support ML Engineers, Data Scientists, and new product development. You will collaborate across teams to improve platform reliability, developer experience, and operational efficiency, using technologies like Kubernetes, AWS, and Terraform.
This role involves teaching and developing innovative undergraduate and postgraduate programmes in data science and AI. You will apply core mathematical, statistical, and computational concepts to help students work on real-world projects, using state-of-the-art facilities and equipment.
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.
Lead a team of data scientists focused on advancing threat detection and agentic AI systems using CrowdStrike’s massive-scale cybersecurity data. Drive machine learning initiatives from research to production, collaborating with security experts and engineering teams to develop innovative AI-driven security solutions. Mentor team members and contribute to cutting-edge research with real-world impact.
Lead a team of data scientists focused on advancing machine learning for cybersecurity, including threat detection and agentic AI systems. Drive technical strategy, mentor team members, and collaborate across security research, engineering, and product teams. Work with massive-scale behavioural data and malware datasets to develop and deploy production ML models that enhance security outcomes.
This role involves building and deploying predictive and statistical models, developing customer segmentation and churn models, and delivering forecasting and customer analytics solutions. You will work across the full Data Science lifecycle, from problem definition to deployment, and collaborate with analysts, engineers, and business stakeholders to present insights and recommendations.
This role involves leading end-to-end data science projects to enhance customer personalisation for major retail clients like Tesco UK. You'll design and deploy machine learning solutions using large-scale transactional data, conduct A/B testing, and translate complex insights for both technical and business audiences. The role emphasizes innovation, collaboration with high-impact teams, and deploying scalable data products in a fast-paced environment.
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 building and deploying machine learning models to solve business challenges in financial services, collaborating with data engineering and analytics teams to create a unified AI platform, and translating complex data into actionable insights. The position requires strong Python skills, experience with cloud environments, and the ability to communicate technical concepts clearly.
This role involves leading the end-to-end development of predictive models, starting with customer churn and complaint propensity, within a subscription-based business. The Data Scientist will define methodologies, build scalable production-ready solutions, and establish the foundation for the company's data science function. Emphasis is on hands-on modelling, commercial impact, and independent ownership of the full lifecycle from concept to deployment.
This role involves conducting exploratory data analysis, running proofs of concept, and translating business problems into analytical solutions. You will design, develop, test, implement, and monitor models, while keeping up with advancements in data science and AI to advise leadership.
This role involves developing and maintaining machine learning models for logistics and supply chain optimisation within Ocado’s advanced automated grocery fulfilment system. The data scientist will work on demand forecasting, drive-time predictions, and supplier reliability, using deep learning and scalable data pipelines. Collaboration with engineering and product teams ensures models are production-ready and drive real-world operational impact.
