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Commercial & Sales

Machine Learning Engineer

Hamburg, DEU full time EUR 70,000 to EUR 90,000

Our client is a global adtech company developing AI-powered mobile advertising solutions that deliver billions of real-time predictions every day. They are seeking a Senior Machine Learning Engineer to design, build, and optimise large-scale recommendation systems used in high-volume production environments. The role focuses on end-to-end ML model ownership, experimentation, and production deployment, with expertise in deep learning and distributed systems. This is an opportunity to work on cutting-edge machine learning technology at global scale with relocation support available.

Our client is a leading global technology company specialising in AI-driven mobile advertising and app monetisation solutions. Their platform processes billions of real-time predictions daily, delivering personalised advertising experiences through advanced machine learning and large-scale distributed systems.

They are seeking an experienced Senior Machine Learning Engineer to join their Data Science team. The successful candidate will design, develop, and deploy production-grade recommendation systems, taking ownership of the full machine learning lifecycle from research and experimentation through to deployment, monitoring, and optimisation.

Key Responsibilities Design and develop large-scale recommendation and relevance models for production environments. Own the complete machine learning lifecycle, including feature engineering, model training, deployment, monitoring, and continuous improvement. Build high-performance, low-latency machine learning systems capable of handling billions of daily predictions. Collaborate closely with software engineering teams to integrate machine learning models into production platforms. Design and execute A/B testing frameworks to evaluate model performance and business impact. Analyse large datasets to identify opportunities for improving recommendation quality and system performance. Contribute to scalable machine learning infrastructure and engineering best practices. Candidate Requirements 5+ years' experience building and deploying production machine learning or recommendation systems. Strong expertise in deep learning frameworks such as PyTorch, TensorFlow, or JAX. Experience developing scalable machine learning systems within high-volume environments such as AdTech, e-commerce, search, or recommendation platforms. Strong software engineering skills with the ability to write production-quality code. Experience designing and evaluating online experiments and A/B testing. Knowledge of distributed data processing technologies such as Spark, Flink, or Kafka would be advantageous. Experience working with cloud data platforms and large-scale data storage solutions is desirable.

What's on Offer

This is an opportunity to join a fast-growing international technology company building machine learning systems at exceptional scale. The role offers exposure to cutting-edge AI technologies, complex engineering challenges, relocation support, flexible working arrangements, ongoing professional development, and the opportunity to make a significant impact on products used by hundreds of millions of users worldwide.

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