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 designing, architecting, and managing complex research data pipelines for AI and algorithm development in a high-performing R&D team. Responsibilities include end-to-end data lifecycle management, scalable data infrastructure, and collaboration with cross-functional teams to drive innovation in patient monitoring technologies.
This role involves analyzing large-scale security telemetry, threat intelligence feeds, and detection data to uncover patterns and support strategic initiatives. You will work cross-functionally with product and engineering teams to transform raw security data into actionable insights, using tools like SQL, Python, and Logscale.
This role involves analyzing large-scale security telemetry, threat intelligence feeds, and detection data to uncover patterns and support strategic initiatives. You will work cross-functionally with product and engineering teams to transform raw data into actionable insights, design dashboards, and maintain data pipelines.
This role involves designing and implementing enterprise-level data and AI architecture, developing advanced AI models, and leading deep data engineering projects. You will work remotely with a day in the London office, focusing on innovative solutions and cross-functional collaboration.
The Data Scientist role involves solving maritime and security-based problems using machine learning and data science techniques. Responsibilities include developing and evaluating ML models for anomaly detection, track pattern recognition, and integrating these models into user-facing features. The role also involves collaborating with developers and infrastructure engineers to build scalable data pipelines and contribute to feature development.
As a Data Scientist at SRT Marine Systems, you will work on developing and evaluating ML models for maritime and security-based problems, including detection, classification, and anomaly detection in time series and image/video data. You will collaborate with developers and engineers to integrate these models into user-facing features and build scalable data pipelines.
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.
Lead the development and execution of energy procurement and grid connection strategies for Anthropic's AI compute infrastructure across multiple European jurisdictions. Drive multi-hundred megawatt power capacity acquisition, engage with transmission and distribution system operators, regulators, and shape energy policy to accelerate data center energization. Partner with engineering teams to align energy market dynamics with aggressive deployment timelines.
As a Data Instructor, you will deliver technical content and support apprentices in developing AI and data skills through workshops and drop-in sessions. You will ensure a high-quality learning experience, moderate assignments, and collaborate with coaches to align on apprentice development.
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 building AI and modelling products for M&A and advisory deals, working closely with senior bankers to translate their requirements into practical solutions. Responsibilities include developing generative AI, NLP, and statistical models, and delivering production-quality Python code.
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 role involves applying and developing machine learning and statistical models to analyse large-scale genomics, transcriptomics, and multi-omics datasets for target identification and validation in drug discovery. The Data Scientist will work at the intersection of computational genomics and ML, integrating human genetics data with functional omics to uncover disease mechanisms. Collaboration with experimental and machine learning teams is central, with an emphasis on reproducible workflows, hypothesis validation, and clear communication of insights.
