At 1st Central, everything starts with our people. As one of the UK’s leading motor and home insurers, we use smart technology, data and great service to make insurance fast, fair and simple for over 1.4
Hiring: Pharma Commercial Data Product Engineer (Snowflake + Collibra) Location: Location: UK (Remote) _ Open to candidates currently residing in the UK only Work Mode: Remote Experience: 6+ Years Employment Type: Long-Term Contract We are looking
Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and weve set our sights on powering every television in
Job Overview: We have a fantastic opportunity to move into the era of Machine Learning and Artificial Intelligence, key technologies for the future of computing. Arm is everywhere technology matters. Are you passionate about ML systems and
Job Overview We’re building software that helps Machine Learning and AI workloads run efficiently on the next generation of Arm compute platforms. Our ML Engineering teams are looking for experienced software engineers with strong C++ skills and practical
AI & Software Engineers – Remote Opportunities Full-Time & Flexible Contract Options | Remote $60 - $120 per hour We are recruiting for multiple opportunities with a fast-growing AI technology business working on advanced AI systems and software engineering
Andrews Recruitment Group is seeking AI & Software Engineers for remote, flexible roles with hourly compensation ($60–$120). Candidates may work part-time (~15 hours/week) or via flexible contract options, contributing to cutting-edge AI projects. Ideal applicants have strong software
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side