JD.COM INTERNATIONAL UK LTD

JD Logistics UK is seeking a Cluster Manager for Last Mile operations to oversee a defined geographic cluster of delivery stations, ensuring on-site coverage, safety, and quality across sites. You will lead multi-site teams, drive KPI-based performance, coordinate with transport, HR, and customer service, and travel between sites to maintain operational consistency. This role reports to the Director for Last Mile Operations and offers a dynamic, technology-driven environment within a global

Benefits offers a competitive salary, a great location, and a supportive, people first culture where growth truly matters. Employees have access to global projects, learning opportunities, and an inclusive environment that values every voice. About the Team The team values collaboration, ownership, and a commitment to delivering high quality results in a fast paced, dynamic environment. Job Summary is seeking a highly skilled and experienced Anti scraping Security Expert to design, implement, and maintain robust defenses against automated data extraction and scraping activities across our platforms. The role protects valuable data assets, ensures fair competition, and maintains a positive user experience. Job Description Conduct red blue team validation on the company's anti scraping products and risk control strategies from an adversarial perspective to strengthen defense via offensive testing and safeguard business security. Undertake blue team assessment, red blue confrontation and real world offensive & defensive drills focusing on business security and anti scraping domains. Design bypass strategies and carry out offensive capability testing for common business security adversarial scenarios across JD Overseas markets; develop automated adversarial scripts for business workflows. Provide insights and recommendations to improve overall anti scraping posture. Requirements Bachelor's degree or above in Computer Science or related disciplines. Minimum of 5 years of working experience (preferred: experience at overseas e commerce platforms). Knowledge of mainstream risk control rules for business security. Experience independently detecting risk rules and implementing circumvention against human machine challenges. Proficiency in forward and reverse JavaScript development, Python scripting. Skill in packet capture and packet tampering tools. Proficiency in mainstream Android security analysis tools and ability to conduct reverse engineering, hooking, emulation and related tasks. Innovative problem solving ideas (e.g., data poisoning) or solid hands on adversarial experience (e.g., account risk control confrontation). Experience in crawler adversarial operations targeting overseas markets is a strong plus. Applicants should highlight relevant experience in their resumes. Equal Opportunity Statement is an equal opportunity employer. We make all employment decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic.

About The Team You'll be joining the team, which values collaboration, ownership, and a commitment to delivering high quality results in a fast paced, dynamic environment. We are building a next generation inventory prediction & replenishment optimization platform to support JD's global fulfilment services. We are looking for a Machine Learning Engineer who is passionate about turning machine learning and research into real, large scale business impact. As a Machine Learning Engineer focusing on demand forecasting, replenishment optimization, and supply chain decision intelligence, you will design, develop, and deploy models that support billions of worth of global inventory flow decisions. Your work directly influences forecast accuracy, stock availability, fulfilment cost, and customer experience. Responsibilities Design, implement, and evaluate machine learning models for demand forecasting, replenishment, and fulfilment optimization. Develop innovative algorithmic solutions to complex forecasting and supply chain problems in close collaboration with product, engineering, and operations teams. Contribute to the technical direction of the fulfilment intelligence platform and influence model architecture, system design, and best practices. Work onsite in London, UK. Minimum Qualifications Bachelor's degree in Engineering, Computer Science, Mathematics, or a related technical field. 3+ years of professional experience as a machine learning engineer or applied research scientist. Experience programming in Java, C++, Python or related language. Experience with neural deep learning methods and machine learning. Demonstrated ability to work independently with minimal guidance; proactively manage tasks and priorities across multiple projects; analyze and execute work efficiently; collaborate effectively with cross functional teams; and thrive in fast paced, results driven environments. Effective communication skills in English. Preferred Qualifications Professional experience in e commerce, retail forecasting, fulfilment logistics, inventory planning, or similar domains. Hands on experience with modeling tools such as Python, PyTorch, TensorFlow, scikit learn, etc. Hands on experience building large scale distributed machine learning systems such as Hadoop, Spark, etc. Effective communication skills in Chinese. Equal Opportunity Employment At we're committed to building a diverse and inclusive workplace where everyone can thrive. We're proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic.

International UK Ltd. is seeking a Machine Learning Engineer focused on demand forecasting, replenishment optimization, and supply chain decision intelligence. You will design, develop, and deploy models that influence forecast accuracy, stock availability, fulfilment cost, and customer experience in a fast-paced environment. The role requires building large-scale models, collaborating with product, engineering, and operations teams, and working on-site in London.

invites applications for a Machine Learning Engineer role at Joybuy in London. You will contribute to search and recommendation systems, collaborating with design, product, and business leads to build tools and platforms. The role involves code development, deployment, and ongoing optimization to impact consumer experiences. The ideal candidate has solid experience in search technologies, NLP, and English proficiency, with a customer-focused approach and strong technical acumen.

INTERNATIONAL UK LTD in London seeks a Machine Learning Team Lead to guide a team of algorithm engineers focused on search and recommendation systems. You will drive design, deployment, and optimization of models to boost personalization, engagement, and traffic efficiency, balancing hands-on work with strategic leadership. The role requires advanced ML/NLP expertise, strong coding skills across Python/C++/Java, and collaboration with product, eng, and business teams.