Artificial Intelligence/Machine Learning Engineer
Publicado en 2026-02-15
-
TI/Tecnología
Ingeniero de IA, Machine Learning
09 February, 2026
- IT
- Full time
- Hybrid
– This role can also be based anywhere remotely in Europe –
Join Web Beds and help us shape the future of our new Artificial Intelligence and Machine Learning team. You’ll be involved in designing and building AI/ML solutions that uplift the Web Beds marketplace and create meaningful, real‑world impact for our customers and partners.
We value curiosity, collaboration, and a supportive environment where everyone can grow — and
we welcome applicants from all backgrounds, especially underrepresented groups in tech.
- Discovery & Design:
Collaborate with colleagues across teams to understand challenges and design practical, well‑fitted AI/ML solutions. - Building AI/ML Solutions:
Prototype and develop machine learning and generative AI systems in areas like forecasting, pricing optimization, anomaly detection, and information extraction. Also, experiment with algorithms, structured data modelling, and foundation models using AWS services such as Bedrock, Lambda, and S3. - Creating Impact:
Write clear, maintainable Python code that can evolve into production solutions and work alongside software engineers when solutions are taken toward production. - Collaboration & Community Contribution:
Partner with experienced colleagues in a supportive and open environment where diverse perspectives matter and share good practices in AI/ML, to help promote responsible use of AI, and contribute to a culture of learning and innovation within the team
- (You don’t need to meet every point — if this role excites you, we’d love to hear from you.)
- A degree in Computer Science, Machine Learning, Engineering, Physics, Mathematics, or equivalent experience
- Experience developing AI/ML solutions that created real impact in industry or academia.
- Strong Python skills and familiarity with libraries such as PyTorch or Tensor Flow.
- SQL knowledge and experience working with structured data.
- MLOps: familiarity with production concepts (versioning, testing, reproducibility)
- Interest and experience in modern ML methods, including deep learning and prompt engineering.
- A collaborative mindset and the ability to communicate complex ideas clearly to both technical and non‑technical audiences.
- A continuous learning attitude and openness to new techniques, tools, and ideas.
Web Beds is a global digital travel marketplace for the travel trade, an intermediary connecting hotels and other travel service suppliers to a distribution network of travel buyers all over the world. We connect hotels looking to fill rooms with buyers trying to find rooms. In short, we source bookable content, integrate, aggregate and merchandise that content in our platform, then distribute it to a global network of travel trade buyers, who sell to the travelling public.
Our Products range from a Retail Online platform, Integration Connectivity hub and distribution APIs to name but a few and our systems are 100% cloud hosted processing up to 8.3bn search requests daily, with 17million rooms nights sold in FY24. We deliver amazing outcomes using leading edge technology through innovative and creative thinking; and products help our partners deliver amazing travel experiences, enabling travel the world over.
Somethings that make us stand out!
- We are a truly global travel organisation, with a global footprint.
- We have 1200+ people speaking 50+ languages in 120+ cites across 50+ countries.
- We partner with over 500,000 properties in more than 39,000 locations.
- We work with more than 50,000 travel buyers in 140 source markets.
- We have an amazing team delivering valuable outcomes using innovative tech and creative, lateral thinking.
Web Beds is a fast-paced, results-driven business and that is reflected throughout our company, in our technology, product and perhaps most importantly – in our people. Visit ‘Careers’ for jobs around the world of Web Beds.
Global and regional hotel chains, independent hotels, apartments, resorts, attractions, transfer and sightseeing companies and more – can sell their products…
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