Lead machine learning engineer (m/f/d) – llms - ramboll tech

Lead Machine Learning Engineer (m/f/d) – LLMs - Ramboll Tech. At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead Machine Learning Engineer, you will step up and take responsibility to create cutting-edge AI solutions that empower our business while mentoring others and fostering a culture of collaboration and growth.

As the sparring partner for your product owners and your Chapter lead, your job is to shape the technical roadmap and contribute to the implementation of best practices both in the product team (“Pod”) you work in and the global Chapter of ML Engineers. You will work with the global Chapter leads, subject matter experts, and other ML Engineers to deliver impactful AI solutions.

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• Define architectural patterns for scalable LLM pipelines, ensuring robust versioning, monitoring, and adherence to best practices.
  
• Drive the integration of external knowledge bases and retrieval systems to augment LLM capabilities.
  
• Effective RAG architectures and technologies for organizing complex domain-specific data (e.g. vector databases, knowledge graphs) and effective knowledge extraction.
  
• Explore and benchmark state-of-the-art LLMs, tuning, adaptation, and training for performance and cost efficiency.
  
• Incorporate recent trends like instruction tuning, RLHF, or LoRA fine-tuning for domain customization.
  
• Embed domain-specific ontologies, taxonomies, and style guides into NLP workflows to adapt models to unique business contexts.
  
• Analyze models for quality, latency, sustainability metrics, and cost, identifying and implementing improvements for better outcomes.
  
• Define and own the ML-Ops for your Pod.
  
• Develop experiments for model evaluation and improvement, keeping the solutions aligned with evolving industry standards.
  
• Establish scalable coding standards and best practices for maintainable and production-ready systems.
  
• Mentor ML engineers to foster their personal growth.
  

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• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  
• Minimum 5 years of experience implementing machine learning projects.
  
• At least 2 years in a senior or lead role.
  
• Demonstrated expertise integrating modern LLMs into production systems.
  
• Proven leadership in driving technical projects to successful completion in agile environments.
  
• Strong communication skills to align technical solutions with business goals.
  
• Ability to mentor and foster innovation within the team.
  
• Strong expertise in building Retrieval-Augmented Generation (RAG) architectures and integrating with vector and graph databases.
  
• In-depth experience with modern Transformer-based LLMs (e.g., GPT-4, Claude, Gemini, Llama, Falcon, Mistral).
  
• Demonstrated ability to fine-tune and optimize LLMs for quality, latency, sustainability and cost-effective performance.
  
• Advanced Python proficiency and expertise with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain.
  
• Experience with containerization tools (e.g. Docker, Kubernetes) and workflow management tools (e.g. Azure ML Studio, MLFlow).
  
• Hands-on experience with (preferably Azure) Cloud environments for scalable AI deployment, monitoring, and optimization.
  
• Experience with relational (SQL), NoSQL databases.
  
• Familiarity with platforms like Snowflake or Databricks.
  

Curiosity, Optimism, Ambition, Empathy — Our team is growing and values diverse perspectives, openness, and a culture of learning and inclusion.

Our team culture emphasizes daily idea exchange, collaboration, and continuous learning. We value diversity and regularly discuss how to improve inclusion. Our hybrid work approach offers flexibility with opportunities for in-person meetups, such as twice a year offsites or team dinners.

Equality, diversity, and inclusion are at the heart of what we do. We are committed to providing an inclusive work environment where everyone can flourish. Please let us know if changes to the application process would help you. You can contact us at job.advert.accessibility@ramboll.com with such requests.

We require a cover letter together with your current CV (preferably without a photo) through our application tool, and we are eager to get to know you better in a conversation. For questions, contact the hiring team through our recruitment tool.