Lead Machine Learning Engineer – LLMs - Ramboll Tech

Lead Machine Learning Engineer – 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 take responsibility for creating 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 Chapter lead, your role is to shape the technical roadmap and contribute to best practices within your product team (“Pod”) and the global Chapter of ML Engineers. You will collaborate with global Chapter leads, subject matter experts, and other ML Engineers to deliver impactful AI solutions.

WHAT YOU WILL DO

• Technological Leadership :
• Define architectural patterns for scalable LLM pipelines, ensuring versioning, monitoring, and adherence to best practices.
• Drive integration of external knowledge bases and retrieval systems to augment LLM capabilities.
• Research and Development :
• Develop RAG architectures and technologies for organizing complex domain-specific data (e.g., vector databases, knowledge graphs) and knowledge extraction.
• Benchmark state-of-the-art LLMs, tuning, adaptation, and training for performance and cost efficiency.
• Incorporate 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 business contexts.
• Evaluation and Optimization :
• Analyze models for quality, latency, sustainability metrics, and cost, implementing improvements.
• Define and own the ML-Ops for your Pod.
• Experimentation and Continuous Improvement :
• Develop experiments for model evaluation and improvement aligned with industry standards.
• Best Practices :
• Establish scalable coding standards and best practices for maintainable, production-ready systems.
• Team Support :
• Mentor ML engineers to foster growth.

HOW YOU WILL SUCCEED IN YOUR ROLE

We’re looking for someone excited to make an impact and grow with us. While not everyone will have all qualifications, you might be a great fit if you bring some of the following. We tailor growth to individual needs and abilities.

Education :

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Experience :

• Minimum 5 years in machine learning projects.
• At least 2 years in a senior or lead role.
• Expertise in integrating modern LLMs into production systems.

Leadership Skills :

• Proven leadership in agile environments.
• Strong communication skills to align technical solutions with business goals.
• Ability to mentor and foster innovation.

LLM and RAG Expertise :

• Strong expertise in RAG architectures and database integration.

Transformer and LLM Architectures :

• Experience with Transformer-based LLMs (e.g., GPT-4, Claude, Gemini, Llama, Falcon, Mistral).

Model Performance and Optimization :

• Ability to fine-tune and optimize LLMs for various metrics.

Programming and NLP Tooling :

• Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face, LangChain.

MLOps and Deployment :

• Experience with Docker, Kubernetes, Azure ML Studio, MLFlow.

Cloud and AI Infrastructure :

• Hands-on experience with cloud environments (preferably Azure).

Databases :

• Experience with SQL and NoSQL databases.

Data Platforms :

• Familiarity with Snowflake, Databricks.

OUR VALUES : CURIOSITY, OPTIMISM, AMBITION, EMPATHY

We are on a growth trajectory, valuing curiosity about people, technology, and the future; optimism in solutions; ambition to exceed standards; and empathy in our interactions.

TEAM CULTURE

We prioritize daily idea exchanges, support, diversity, and continuous learning. Our hybrid work model offers flexibility, with in-person meetups twice a year.

ABOUT RAMBOLL

Ramboll is a global firm in architecture, engineering, and consultancy, committed to sustainable change and inclusivity, with a diverse team across 35 countries.

WHAT RAMBOLL TECH DOES

We accelerate innovation and digital transformation, leading AI initiatives, collaborating across markets, and developing proprietary AI products. Our team has over 300 employees worldwide, expanding rapidly.

EQUALITY, DIVERSITY, AND INCLUSION

We promote an inclusive environment, value diversity, and offer flexible work arrangements. Applications from all backgrounds are welcome; contact us at for accommodations.

IMPORTANT INFORMATION

Please submit a cover letter and CV (preferably without photo) via our application portal. We look forward to speaking with you. For questions, contact our recruitment team.

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