Senior Engineer, Machine Learning

Imagine being part of the Digital & Technology team for the world's largest jewellery brand. If you are passionate about building and scaling advanced machine learning solutions, transforming data into business value, and applying cutting-edge AI technologies to solve complex challenges, then you might be our next Senior Machine Learning Engineer at Pandora.

We love that you will…

• End-to-End ML Ownership: Lead the development lifecycle of ML products, from problem framing and prototyping to deployment and monitoring, ensuring solutions are robust, scalable, and business-impactful.

• Data & Infrastructure Leadership: Architect and optimize data pipelines and ML systems, ensuring reliability, reproducibility, and integration with enterprise-scale data platforms and integration with enterprise-scale data sources such as PLM, ERP (AX / SAP), o9.

• Model Deployment & Ops: Drive best practices in MLOps, including CI/CD for ML, model monitoring, and automated retraining pipelines.

• Cross-Functional Collaboration: Partner with data scientists, software engineers, ,data engineers, product managers, and business stakeholders to translate high-level business goals into ML-powered solutions.

• Performance Monitoring & Optimization: Define KPIs, monitor model behavior in production, and implement continuous improvements to enhance accuracy, efficiency, and scalability.

• Technical Leadership & Mentorship: Provide guidance and mentorship to junior engineers, fostering best practices in code quality, system design, and ML development.

• Innovation & Research: Stay current with emerging ML/AI technologies (including Generative AI, Computer Vision, Forecasting and Optimization methods), and evaluate new methods to strengthen Pandora’s competitive edge.

• Documentation & Standards: Establish and maintain high-quality technical documentation and engineering standards for sustainable, long-term growth of ML systems.

We love that you are…

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related field. (PhD is a plus.)

• 5+ years of experience in Machine Learning Engineering, Applied AI, Data Science, or similar roles.

• Proven experience deploying machine learning models into production and operating them at scale.

• Strong foundations in machine learning, algorithms, statistics, and software engineering principles.

• Advanced proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or Spark MLlib.

• Hands-on experience with modern data platforms such as Databricks, Snowflake, Apache Spark, or similar large-scale analytics ecosystems.

• Strong SQL skills and experience working with relational and distributed data systems.

• Solid understanding of MLOps, CI/CD, model monitoring, cloud-native architectures, and system scalability.

• Experience with Azure cloud services, Docker, Kubernetes, and infrastructure automation.

• Familiarity with Git-based workflows and collaboration tools such as JIRA and Confluence.

• Experience within Manufacturing, Supply Chain, Retail, Merchandising, E-commerce, or Finance domains is highly desirable.

• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.

• Fluent professional English, both spoken and written, with confidence working in a global environment.

• A proactive, curious, and self-driven mindset with a passion for innovation, continuous learning, and delivering business value.

• Enthusiasm for emerging AI technologies and applying them to real-world business challenges.

About Pandora

Pandora is the world's largest jewellery brand, specialising in the design, crafting and marketing of accessible luxury jewellery made from high-quality materials. Each piece is created to inspire self-expression, allowing people to share their stories and passions through meaningful jewellery. Pandora jewellery is sold in more than 100 countries through 6,800 points of sale, including more than 2,700 concept stores.

Headquartered in Copenhagen, Denmark, Pandora employs 37,000 people worldwide and crafts its jewellery using only recycled silver and gold. Pandora is committed to leadership in sustainability and has set out to halve greenhouse gas emissions across its value chain by 2030. Pandora is listed on the Nasdaq Copenhagen stock exchange and generated revenue of DKK 31.7 billion (EUR 4.2 billion) in 2024.

About Pandora Production Thailand

Pandora started crafting its jewellery in Thailand in 1989, where our founders fell in love with the delicate craftsmanship of the Thai people. To date, there are two crafting facilities in Thailand, Bangkok, and Lamphun, and we employ more than 13,000 skilled craftspeople. By the end of 2024, there are 113 million pieces sold globally, all of which were hand-finished here in Thailand by our skilled craftspeople using high-quality raw materials and sustainable methods.