About the job

About the Role

JD.com seeking an experienced AI Engineer to join our growing technical team at Joybuy (https://www.joybuy.com/). Joybuy is JD.com’s European full-category online retail brand designed to bring customers a faster, more convenient, and cost-effective shopping experience. Offering same-day and next-day delivery across the UK, Joybuy combines speed, reliability, and affordability to meet the needs of modern shoppers. In this role, you will design, develop, and deploy AI/ML solutions that power Joybuy. You will work at the intersection of machine learning, engineering, and product, building intelligent systems that drive personalisation, search, recommendation, content understanding, and operational efficiency at scale.

Key Responsibilities

• Design, build, and maintain AI/ML models and pipelines for Joybuy's international platform, covering areas such as personalisation, recommendation, NLP/LLM applications, computer vision, and fraud detection.
• Own end-to-end machine learning lifecycle from problem formulation and data exploration to model training, evaluation, deployment, monitoring, and iteration in production.
• Collaborate closely with product managers, software engineers, and data teams across Europe and China to align AI capabilities with business goals and regional market needs.
• Research, adopt, and promote state-of-the-art AI/ML technologies and methodologies, contributing to the team's technical roadmap and architectural vision.
• Build and optimise machine learning infrastructure and tooling, including feature stores, model serving platforms, A/B testing frameworks, and CI/CD pipelines for machine learning.
• Work onsite in Green Park, London.

Minimum Qualifications

• Bachelor's degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related technical field.
• 3+ years of hands-on experience in building and deploying machine learning models in production environments.
• Strong programming skills in Python, with proficiency in machine learning frameworks such as PyTorch, TensorFlow, or JAX.
• Solid understanding of modern machine learning techniques including deep learning, NLP, recommendation systems, or LLMs.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes).
• Experience with MLOps tooling and practices — model versioning, experiment tracking, CI/CD, A/B testing.
• Proactive, fast learner, and highly collaborative, with strong communication, analytical, and problem-solving skills, capable of independently identifying and resolving complex technical challenges.
• Effective communication skills in English.

Preferred Qualifications

• Work experience in large-scale e-commerce companies or high-traffic consumer-facing platforms.
• Experience with LLM fine-tuning, RAG architectures, or generative AI applications.
• Experience building multilingual or cross-market AI systems for European/global audiences.
• Experience with real-time inference systems, feature engineering at scale, or online learning.
• Publications at top-tier ML/AI conferences (NeurIPS, ICML, KDD, ACL, CVPR, etc.) or significant open-source contributions.
• Effective communication skills in Chinese.

What We Offer:

• A dynamic and challenging work environment in a leading global e-commerce company with a fast-growing international business.
• The opportunity to work with a diverse international team spanning London and Beijing, making a significant impact on JD.com's global AI strategy.
• Competitive salary and benefits package, including health insurance, retirement plans, and performance bonuses.
• Exposure to massive-scale data, complex cross-border e-commerce challenges, and real-world AI problems that impact millions of users.

JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, the company has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Know more about us: https://corporate.jd.com/

JD.com is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.About the job

AI Engineer

Location: London ( 3 days on site)

Salary - £75,000 to £90,000 dependent on exepriance

(Sponsorship is not provided)

The Opportunity

Our client is investing heavily in artificial intelligence and data-driven technologies to transform the way teams work and deliver value to clients. As part of this continued investment, they are looking to hire an AI Engineer to join a growing technology function focused on building innovative AI solutions that enhance productivity, automate workflows, and support business decision-making.

This is an exciting opportunity for someone with hands-on experience designing and deploying AI applications, particularly those leveraging large language models (LLMs). You'll play a key role in taking AI solutions from concept through to production, working across the full development lifecycle to build scalable, user-focused applications.

The ideal candidate will enjoy solving complex technical challenges, experimenting with emerging AI technologies, and delivering high-quality software that has a measurable business impact.

The Role

Key responsibilities include:

• Develop, maintain, and enhance existing AI applications and services.
• Design, build, deploy, and support new AI-powered solutions that can scale across multiple business functions.
• Work closely with stakeholders to understand business challenges and translate them into practical AI solutions.
• Prototype, test, and iterate applications based on user feedback and performance data.
• Analyse structured and unstructured datasets using statistical techniques and machine learning methodologies.
• Evaluate emerging AI technologies and identify opportunities to improve products and internal capabilities.
• Contribute to best practices across software engineering, AI development, and deployment.

About You

We're looking for someone with a strong engineering mindset who combines technical expertise with curiosity and a passion for applying AI to real-world business problems.

You'll ideally have:

• Commercial experience developing applications using Large Language Models (LLMs) and modern Generative AI technologies.
• Experience evaluating, fine-tuning, and optimising foundation models for business use cases.
• Strong Python development skills with experience writing clean, scalable, production-quality code.
• Experience building front-end applications using JavaScript, React, HTML, and CSS.
• A solid understanding of machine learning principles, statistics, and data analysis.
• Experience designing AI solutions from concept through to deployment.
• Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
• A collaborative approach with the ability to work independently in a fast-paced, agile environment.
• A degree in Computer Science, Mathematics, Engineering, Data Science, or a related quantitative discipline, or equivalent commercial experience.

Desirable Experience

• Experience building cloud-native AI applications, ideally within Microsoft Azure.
• Knowledge of DevOps practices, including CI/CD pipelines, Git, and automated deployments.
• Understanding of secure software development principles.
• Experience working within consulting, professional services, or other client-facing environments.
• Exposure to MLOps frameworks and AI governance would be beneficial.

What's on Offer

• Opportunity to work on cutting-edge AI and Generative AI initiatives.
• Exposure to enterprise-scale AI projects with real business impact.
• Collaborative and highly technical engineering environment.
• Ongoing investment in learning, innovation, and career development.
• Hybrid working and a competitive salary and benefits package.
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