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 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.
This role involves transforming cutting-edge AI models into practical tools for engineering decision-making by developing deep learning and predictive models, building scalable data pipelines, and working directly with customers on-site. The Data Scientist will preprocess and analyze complex data, integrate models with physics-based simulations, and contribute to product development in a high-impact AI-native engineering environment. Collaboration with simulation engineers and hands-on deployment in production environments are central to the role.
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 evaluating AI and machine learning solutions, particularly using GCP, LLMs, and RAG. You will work closely with project managers and developers to deliver scalable and well-documented applications, gather business and technical requirements, and contribute to the entire software development lifecycle.
The Data Scientist role involves analysing large datasets, developing predictive models, and collaborating with stakeholders to drive business strategies. You will work in a hybrid capacity, supporting data pipelines and staying current with industry trends.
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 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 hands-on data science work, contributing to the design, analysis, and build of data science solutions for real business problems. You will work on multiple projects, collaborate with engineers and analysts, and focus on production-focused initiatives with tangible impact.
Design and deliver custom data science solutions for high-impact projects in the defence sector, working closely with clients and cross-functional teams. Focus on ethical, reliable AI applications requiring technical leadership, rigorous model development, and clear communication of insights to non-technical stakeholders. Contribute to thought leadership through teaching or open-source work.
As a Senior Data Scientist, you will lead technical consulting projects, develop and implement AI/ML solutions, and build client relationships across diverse industries, including defence. You will work on complex challenges, integrate code with software engineers, and support innovation and new techniques.
The Data Scientist will develop and implement machine learning models to solve business problems, analyse large datasets for actionable insights, and collaborate with technical and business stakeholders to deliver data-driven solutions. The role involves preparing, cleaning, and transforming data, as well as evaluating and monitoring models for accuracy and reliability.
This role involves developing and deploying machine learning and NLP models for intelligence data, working closely with end users in a multi-disciplinary team. Responsibilities include pattern detection, data matching, anomaly spotting, and building production-ready data and ML pipelines.
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 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 analysing manufacturing, quality, and product performance data to uncover trends and drive engineering improvements. You'll develop analytical models and dashboards, apply machine learning techniques, and collaborate with engineering and digital teams to support data-driven decision-making. The position emphasizes translating complex data into actionable insights for both technical and non-technical audiences.
