Artificial Intelligence / Machine Learning Engineer

What you will do on your journey with WebBeds.

In this role you will:

Key responsibilities

• Discovery and design: collaborate with colleagues across teams to understand challenges and design practical, well-fitted AI/ML solutions.

• Build AI/ML solutions: prototype and develop machine learning and generative AI systems in areas like forecasting, pricing optimisation, anomaly detection, and information extraction.

• Experiment with models and infrastructure: work with algorithms, structured data modelling, and foundation models using AWS services such as Bedrock, Lambda, and S3.

• Write production-ready code: deliver clear, maintainable Python code that can evolve into production solutions, and work alongside software engineers when solutions are taken toward deployment.

• Collaborate and contribute: partner with experienced colleagues in an open environment where diverse perspectives matter, share good practices in AI/ML, and contribute to a culture of learning and innovation.

• Promote responsible AI: help establish and follow best practices for the responsible and ethical use of AI across the organisation.

The skills we would love to see in your suitcase.

• 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 TensorFlow.

• 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.