Lead Machine Learning Engineer – LLMs - Ramboll Tech

Ramboll Group A/S; London; Hybrid; GBP 80,000 - 110,000; Full time

Job summary

A leading company seeks a Lead Machine Learning Engineer to create innovative AI solutions, mentor team members, and shape technical roadmaps. The role involves defining architectural patterns, developing RAG architectures, and optimizing models for quality and sustainability. Join a diverse and inclusive environment that values curiosity and continuous learning.

Qualifications

• Minimum 5 years of experience in machine learning projects.
• At least 2 years in a senior or lead role.

Responsibilities

• Define architectural patterns for scalable LLM pipelines.
• Develop RAG architectures and explore state-of-the-art LLMs.
• Mentor ML engineers to foster their growth.

Skills

Leadership

Communication

Mentorship

Model Optimization

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Python

PyTorch

TensorFlow

Hugging Face

LangChain

Azure

Job description

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 create cutting-edge AI solutions that empower our business, mentor others, and foster a culture of collaboration and growth.

You will collaborate with product owners and your Chapter lead to shape the technical roadmap and implement best practices within your product team (“Pod”) and the global Chapter of ML Engineers. You will work with Chapter leads, subject matter experts, and other ML Engineers to deliver impactful AI solutions.

WHAT YOU WILL DO

1. Technological Leadership: Define architectural patterns for scalable LLM pipelines, ensuring versioning, monitoring, and best practices.
2. Research and Development: Develop RAG architectures, explore state-of-the-art LLMs, and incorporate recent trends like instruction tuning, RLHF, or LoRA fine-tuning for domain customization.
3. Evaluation and Optimization: Analyze models for quality, latency, sustainability, and cost; define and own ML-Ops for your Pod.
4. Experimentation and Continuous Improvement: Develop experiments for model evaluation and improvement aligned with industry standards.
5. Best Practices: Establish scalable coding standards for maintainable, production-ready systems.
6. Team Support: Mentor ML engineers to foster their growth.

HOW YOU WILL SUCCEED IN YOUR ROLE

While not everyone will have all qualifications, you might be a great fit if you bring some of the following:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Minimum 5 years of experience in machine learning projects.
• At least 2 years in a senior or lead role.
• Expertise in integrating modern LLMs into production systems.

Additional skills include leadership in agile environments, strong communication, mentorship abilities, expertise in RAG architectures, Transformer-based LLMs, model optimization, programming in Python with frameworks like PyTorch, TensorFlow, Hugging Face, LangChain, experience with containerization tools, cloud deployment (preferably Azure), and familiarity with databases and data platforms.

OUR VALUES: CURIOSITY, OPTIMISM, AMBITION, EMPATHY

We foster a team culture of continuous learning, diversity, and openness. Our hybrid work approach emphasizes flexibility and regular in-person interactions.

WHO IS RAMBOLL

Ramboll is a global firm committed to sustainable change, fostering an inclusive environment where everyone can thrive. Our culture is built on openness, curiosity, and respect for diversity.

WHAT RAMBOLL TECH DOES

We accelerate innovation and digital transformation across Ramboll, collaborating on AI projects, developing proprietary AI products, and expanding our global team.

EQUALITY, DIVERSITY, AND INCLUSION

We value diversity as a strength and offer an inclusive, flexible work environment. Applications from all backgrounds are welcome; contact us at [e-mail] for accessibility requests.

IMPORTANT INFORMATION

Please submit a cover letter and current CV (preferably without a photo). For questions, contact our recruitment team through the application tool.