OverviewLead Machine Learning Engineer (m/f/d) – LLMs at Ramboll Tech. You will shape technical roadmaps, implement best practices, mentor others, and foster collaboration and growth while delivering cutting-edge AI solutions that empower the business.This role acts as sparring partner for product owners and the Chapter lead, coordinating with global ML Engineers to deliver impactful AI solutions.What you will doTechnological Leadership: Define architectural patterns for scalable LLM pipelines with versioning, monitoring, and adherence to best practices.Drive integration of external knowledge bases and retrieval systems to augment LLM capabilities.Research and Development: Implement effective RAG architectures for organizing domain-specific data (e.g., vector databases, knowledge graphs) and knowledge extraction; explore and benchmark state-of-the-art LLMs; tuning, adaptation, and training for performance and cost efficiency; incorporate trends like instruction tuning, RLHF, or LoRA for domain customization; embed domain ontologies, taxonomies, and style guides into NLP workflows.Evaluation and Optimization: Analyze models for quality, latency, sustainability metrics, and cost; define and own ML-Ops for your Pod; develop experiments for model evaluation and continuous improvement.Best Practices: Establish scalable coding standards and production-ready systems.Team Support: Mentor ML engineers to foster personal growth.How you will succeed in your roleWe’re looking for someone excited to make an impact and grow with us. You may not have every qualification listed, and we tailor growth to individual needs and abilities.Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.Experience: Minimum 5 years in ML projects; at least 2 years in a senior or lead role; demonstrated expertise integrating modern LLMs into production systems.Leadership skills: Proven leadership in driving technical projects in agile environments; strong communication to align technical solutions with business goals; ability to mentor and foster innovation.LLM and RAG Expertise: Strong expertise building Retrieval-Augmented Generation architectures and integrating with vector and graph databases.Transformer and LLM Architectures: In-depth experience with modern Transformer-based LLMs (e.g., GPT-4, Claude, Gemini, Llama, Falcon, Mistral).Model Performance and Optimization: Ability to fine-tune and optimize LLMs for quality, latency, sustainability, and cost-effective performance.Programming and NLP Tooling: Proficient in Python with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain.MLOps and Deployment: Experience with Docker, Kubernetes, and workflow tools (e.g., Azure ML Studio, MLFlow).Cloud and AI Infrastructure: Hands-on experience with cloud environments (preferably Azure) for scalable AI deployment, monitoring, and optimization.Databases and Data Platforms: Experience with SQL/NoSQL and platforms like Snowflake or Databricks.What defines us: Curiosity, Optimism, Ambition, EmpathyWe are a growth-focused team with a strong culture. We value diversity, curiosity about people and technology, optimism in solving problems, ambition to set high standards, and empathy in working with colleagues and clients.How we work as a teamWe emphasize daily idea exchange, supporting each other through challenges, and continuous learning. Our hybrid approach provides flexibility with regular in-person gatherings, including twice-yearly offsites or team dinners.Who is RambollRamboll is a global architecture, engineering, and consultancy firm committed to sustainable change and inclusive culture. We welcome diverse backgrounds and perspectives.What Ramboll Tech doesRamboll Tech accelerates innovation and digital transformation for Ramboll, collaborating across markets and developing proprietary AI products for Ramboll and clients. Our team includes 300+ employees across multiple countries and continues to grow.Equality, Diversity and InclusionWe are committed to equality, diversity, and inclusion, offering flexibility and inviting applications from all backgrounds. If you need adjustments to the application process, contact job.advert.accessibility@ramboll.com.Important informationA cover letter and CV (preferably without a photo) are required through our application tool; we look forward to conversations with you. For questions, reach out to the hiring team via our recruitment tool.Ramboll in numbersEmployees worldwide: 17 500Offices: 300 across 35 countriesRevenue: 6 markets (Buildings, Transport, Energy, Environment & Health, Water, Management Consulting)
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