At a Glance
- Tasks: Join our team to develop AI solutions that enhance global e-commerce experiences.
- Company: Dynamic global e-commerce leader based in London with a people-first culture.
- Benefits: Competitive salary, great location, and opportunities for personal and professional growth.
- Other info: Inclusive workplace that values diversity and offers global project opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact on shopping experiences worldwide.
- Qualifications: Master's degree in Computer Science or related field, with experience in AI and programming skills.
The predicted salary is between 70000 - 90000 £ per year.
We are looking for a talented and passionate AI Algorithm Engineer to join our global e-commerce team in London. In this role, you will be at the forefront of applying cutting‑edge AI technologies – including AI Agents and AIGC – to solve real‑world challenges across multiple languages and countries. You will help us build intelligent, automated solutions that enrich product content, power automated marketing operations, and deliver a superior shopping experience for users worldwide.
- Drive AI Agent Adoption in Global E‑commerce: Lead the implementation and optimisation of AI Agent technologies in diverse, multi‑lingual, cross‑border scenarios to enhance operational efficiency and user engagement.
- Build AI‑powered Automation and Intelligence: Develop automated, intelligent capabilities for the overseas e‑commerce landscape, with a focus on building robust automated marketing and operations solutions.
- Enrich Product Content with AIGC: Leverage generative AI.
Requirements include a Master’s degree or above in Computer Science, Artificial Intelligence, or a related field, with at least 1 year of hands‑on experience in large language model (LLM) research and development. Solid understanding of common machine learning models, including Diffusion Models and Transformers, and proven proficiency with deep learning frameworks such as TensorFlow or PyTorch. Strong foundation in data structures and algorithms, with excellent programming skills in Python or C++.
We offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.
At JD.com, 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.
AI Algorithm Engineer - Global E-commerce in City of London employer: JD.COM
At JD.com, we pride ourselves on being an exceptional employer, particularly for our AI Algorithm Engineer role in the vibrant city of London. Our people-first culture fosters professional growth and innovation, offering access to global projects and a diverse, inclusive environment where every voice is valued. With competitive salaries and a commitment to employee development, we empower you to shape the future of e-commerce through cutting-edge AI technologies.
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We think this is how you could land AI Algorithm Engineer - Global E-commerce in City of London
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We think you need these skills to ace AI Algorithm Engineer - Global E-commerce in City of London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
