Overview
Data Science & AI Training Specialist or AI Skills Lead
Join the world's leading travel subscription platform and one of the largest e-commerce businesses in Europe. Millions of customers every year – 44 markets – 5 brands – 7M+ members in Prime. More than 100 million searches per day. Up to 6 billion daily AI predictions. Over 1,700 employees with a diverse international team and a focus on permanent contracts.
We are a tech company revolutionising the travel booking experience through our consumer insight, innovative technology, market leadership, and Prime, the world's first travel subscription program. We are looking for an AI Skills Lead to empower our Advanced and Senior Software Engineers to unlock the full potential of Artificial Intelligence within their roles.
What you will do
- Training Program Development: Design and create engaging and effective training curricula, workshops, and learning materials focused on practical AI applications for software engineers. Topics include machine learning fundamentals, deep learning concepts, natural language processing, computer vision, and responsible AI practices.
- Delivery of Training: Lead and deliver both in-person and virtual training sessions, adapting your teaching style to suit the needs of experienced technical audiences.
- Content Creation: Develop high-quality learning resources, including documentation, code examples, exercises, and assessments.
- Needs Assessment: Collaborate with engineering and DS teams to identify specific AI skill gaps and training needs.
- Staying Current: Continuously stay up-to-date with the latest advancements in AI, machine learning, and related technologies.
- Community Building: Foster a community of AI learners within the engineering organization, encouraging knowledge sharing and collaboration.
- Measuring Impact: Define and track key metrics to evaluate the effectiveness of training programs and identify areas for improvement.
What you will need to succeed
- Advanced degree (Master's or PhD) in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Familiarity with the European tech landscape and relevant industry trends.
- Typically 5+ years of proven experience in a data science, machine learning engineering, or related role.
- Deep understanding of core AI/ML concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong programming skills in languages commonly used in data science (e.g., Python).
- Exceptional communication and presentation skills, with the ability to explain complex technical topics clearly to technical audiences.
- Experience in designing and delivering technical training programs or workshops is highly desirable.
- Ability to work independently and collaboratively within a fast-paced, agile environment.
- A passion for teaching and empowering others to learn new technologies.
- Experience with MLOps practices is a plus. Ideally, contributions to open-source AI/ML projects.
- If you are a highly skilled data scientist or machine learning engineer with a passion for teaching and empowering others, this role is for you!
What’s in it for you?
- Prime Plus membership, competitive salary and benefits package, including flexible benefits, performance-based bonuses, birthday day off, discounts and partnerships, relocation support, and the possibility of equipment ownership and keeping it after 3 years.
- Continuous learning to fuel your growth and explore new horizons, including free Coursera access, soft skills workshops, tech training, leadership development, and a strong onboarding program.
- Personalised career paths and the eVOLVE Program to help you discover, grow, and thrive, with internal mobility opportunities.
- Hybrid home-office model focused on outcome and flexibility to balance work and personal life.
- Be part of a dynamic and social environment with after-work events, sports and music communities, and a relaxed dress code.
- Work in an Agile environment with recognition for high performance, learning, and growth.
We are an equal-opportunity employer and value diversity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status. If your experience doesn’t align perfectly with every requirement, we strongly encourage you to apply nonetheless.