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.
As a Fraud Data Scientist, you will lead fraud analytics and prevention initiatives, developing and enhancing fraud detection models and decisioning processes. You'll collaborate with cross-functional teams to implement solutions and drive the company's fraud prevention strategy, focusing on high-impact projects in a growing fintech.
This role involves developing and enhancing predictive risk capabilities using advanced analytics and machine learning. You will work closely with commercial stakeholders and external partners to solve complex risk challenges and influence product development.
This role involves leading legal technology projects with a focus on document automation and Generative AI, acting as a bridge between legal teams and technical experts. The consultant will configure workflows, manage vendor platforms, and drive adoption through training, all within a global legal services firm. What sets this role apart is its hands-on technical engagement with AI and low-code tools in a high-impact legal innovation context.
The Senior Data Scientist will maintain and troubleshoot live machine learning models, monitor revenue and data integrity, and handle time-sensitive regulatory requests. They will work closely with cross-functional teams to ensure operational stability and drive data-driven decisions.
This role involves leading an AI innovation lab within a global financial services company, identifying and testing high-impact AI and automation solutions, and working closely with business leaders to drive rapid prototyping and commercial value. The position offers high autonomy and the chance to shape enterprise-wide AI strategy.
As an Applied AI Engineer, you will serve as a technical advisor to tech-forward companies, helping them build on the Claude Developer Platform. You'll work hands-on with customer engineering teams, develop custom evaluation frameworks, and create technical resources to enable successful AI applications.
As an Applied AI Engineer at Anthropic, you will serve as a technical advisor to tech-forward companies, helping them build and scale applications on the Claude Developer Platform. You'll work hands-on with customer engineering teams, develop custom evaluation frameworks, and create technical resources to support their AI initiatives.
This role involves designing and delivering AI-driven automation solutions to streamline and enhance complex business processes across various workflows. You will collaborate with engineering teams, product managers, and business architects to build scalable automation services and integrate AI/ML capabilities into real business workflows.
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 reproducible pipelines, and translating complex data into actionable insights. The position offers the opportunity to shape the data science practice within an established company.
This role involves building and owning core platform capabilities, developing full stack applications using Python, React, and TypeScript, and integrating AI and LLM-powered workflows into production environments. You will collaborate closely with Product Managers, Data Scientists, and business stakeholders to translate ambiguous business problems into scalable software solutions.
