Machine Learning Engineer – LLMs

Join our AI team at Prosus, the largest consumer internet company in Europe and one of the biggest tech investors in the world. You'll be working on the team that drives growth and innovation across the company, with your work directly impacting how millions of people shop online.
Who we’re looking for
We're seeking a skilled and curious Machine Learning Engineer with a strong focus on Large Language Models (LLMs) to be a key hands-on contributor in building and refining our state-of-the-art language models. You have a solid track record of developing anddeploying AI systems, with experience in LLM-based solutions, and excel at translating research concepts and technical insights into robust, production-ready code. You possess hands-on experience with the practicalities of LLM development, from datapreparation and fine-tuning to API integration, communicate technical details effectively, and thrive in a fast-moving, impact-driven environment where research insights are practically applied.

What you’ll do

• Actively contribute to the design, implementation, and rigorous analysis of experiments for LLMs.
• Develop, train, fine-tune, and deploy LLM-based systems into production environments.
• Participate in all stages of the ML lifecycle: from data strategy and preparation for LLMs, through model development and robust evaluation, to optimization and supporting production monitoring.
• Implement and integrate solutions leveraging LLM APIs, SDKs, and direct model interactions for advanced applications and agentic systems.
• Write high-quality, well-tested code and contribute to the engineering best practices of the team.
• Collaborate with senior engineers and researchers to ensure models and systems are designed for production reliability and performance in cloud environments (AWS, GCP).

Minimum qualifications

• 3+ years of hands-on experience in ML, with clear exposure to NLP and LLMs.
• Experience building and deploying ML models in production.
• Proficient Python skills; solid experience with ML libraries such as PyTorch and Hugging Face Transformers.
• Experience with commercial or open-source LLM APIs (e.g., OpenAI, Anthropic, Google) and integrating them into workflows.
• Strong software engineering fundamentals, including version control (Git), testing, and an understanding of CI/CD practices.
• Ability to understand and implement technical solutions based on research papers or complex requirements.

Preferred qualifications

• Experience with distributed training and inference on multi-GPU clusters (e.g., familiarity with tools like Axolotl or similar).
• Strong data intuition, particularly a feel for generating or selecting synthetic data that meaningfully boosts LLM performance.
• Hands-on experience building or experimenting with AI agents (even as personal or toy projects).
• Demonstrable curiosity, evidenced by self-initiated projects, deep dives into specific AI topics, or contributions to the AI community.
• A strong personal interest and informed perspective on a particular sub-field or emerging trend within AI/LLMs.
• Clear, empathetic communicator who contributes positively to team dynamics (a good sense of humor helps!).
• Thrives in a fast-paced, impact-driven setting where research insights are valued and practically applied.

What we offer

• The opportunity to contribute significantly to high-impact AI projects that are strategically vital to the company, with direct visibility and engagement from senior leadership, including the CEO.
• Access to a state-of-the-art GPU fleet (H200s), massive proprietary datasets, and a wide range of open-source and commercial LLMs (e.g., OpenAI, Anthropic, Google, Together.ai).).
• A team of highly experienced colleagues who have released top Hugging Face models, authored NeurIPS papers, created well-known benchmarks, and built multiple production AI systems – providing excellent mentorship opportunities.
• Significant autonomy and freedom to test your ideas and contribute to solutions.
• Modern tooling and infrastructure, including access to coding assistants (Copilot, Cursor, Devin)
• A hybrid work model with a vibrant office in Amsterdam South (with great barista coffee!).
• Competitive compensation, a top-spec MacBook Pro and an environment genuinely built for professional growth and learning.
If you’re excited to apply your skills to cutting-edge AI applications—and to see your work make a tangible difference on a global scale—let’s talk.

Our Diversity & Inclusion Commitment
We respect the dignity and human rights of individuals and communities wherever we operate in the world. Building an inclusive workplace where everyone feels welcome and can thrive is critical for us. We provide access to education, which helps everyone understand the important role they play and the positive impact they can have.
For a deeper look at our journey and future plans, explore our latest Annual Report. Stay up to date with our latest news to see what makes Prosus stand out. Learn more at www.prosus.com.