7 ai engineer jobs found

Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.   What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.   This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you 'll handle data scraping tasks requiring technical...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for a proficient AI/ML Developer to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others...

About the Role We're looking to bring on a developer we can work with long term. A degree and formal experience are a bonus, but not essential. We've worked with excellent developers who simply haven't had the chance to showcase their ability through traditional routes, so what matters most to us is a strong portfolio and the right skills. Education Bachelor's degree in Computer Science, Software Engineering, or a related field (Optional) Experience Minimum 2 years of professional software development experience, with demonstrable mobile app work (Optional) Required Skills Cross-platform mobile development: iOS and Android from one codebase (React Native or Flutter preferred, or native Swift + Kotlin) GPS, geolocation & geofencing: accurate location capture, geofencing, and calculating distance, direction and dispersion from location data Third-party API integration: connecting and handling data from multiple external services reliably...

Role overview The Principal Data Scientist will lead significant data science work across AWTG and client programmes, shaping technical direction, standards and delivery approaches. The role requires deep expertise in data science, strong leadership and the ability to turn advanced analytics into organisational impact. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the scoping, design and delivery of complex data science products, models and analytical solutions. Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices. Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges. Guide data scientists, analysts and engineers in selecting appropriate methods, architectures and tools....

Role overview The Principal Data Scientist will lead significant data science work across AWTG and client programmes, shaping technical direction, standards and delivery approaches. The role requires deep expertise in data science, strong leadership and the ability to turn advanced analytics into organisational impact. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the scoping, design and delivery of complex data science products, models and analytical solutions. Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices. Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges. Guide data scientists, analysts and engineers in selecting appropriate methods, architectures and tools....

Lead Data Scientist Role overview The Lead Data Scientist will act as a leader, coach and champion for data science, managing teams, setting direction and building organisational capability. The role ensures data science work is technically strong, ethical, scalable and aligned to client and business outcomes. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead and manage data science teams or workstreams, setting clear direction and delivery priorities. Shape data science strategy, standards and reusable approaches across products, services or programmes. Coach data scientists and multidisciplinary teams in methods, tools, responsible AI and delivery practices. Oversee complex modelling, analytics and machine learning work, ensuring appropriate validation and assurance. Work with senior stakeholders to...

Role overview The Principal Data Scientist will lead significant data science work across AWTG and client programmes, shaping technical direction, standards and delivery approaches. The role requires deep expertise in data science, strong leadership and the ability to turn advanced analytics into organisational impact. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the scoping, design and delivery of complex data science products, models and analytical solutions. Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices. Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges. Guide data scientists, analysts and engineers in selecting appropriate methods, architectures and tools....