Senior Manager Machine Learning Engineer

Job description

Company Description

Company Description – Ramboll

Ramboll is a global architecture, engineering, and consultancy company, delivering innovative and sustainable solutions across Buildings, Transport, Energy, Environment & Health, Water, and Management Consulting. With 15,500 experts in 35 countries, we combine local insights with global expertise to shape the society of tomorrow.

Inviting Bright Minds

At Ramboll, we empower our people to challenge the status quo and push the boundaries of their profession. Our collaborative and inclusive culture fosters excellence and innovation. Since 1945, we’ve been committed to leaving a positive impact on societies, companies, and individuals worldwide.

Job Description

At Ramboll Tech, we believe innovation thrives where engineering expertise meets intelligent automation.

As a Senior/Lead Machine Learning Engineer, you will shape the future of AI at Ramboll — architecting, deploying, and evaluating scalable, responsible, and domain-aware ML and LLM systems that power our next generation of digital products.

You will act as a technical leader and architect of AI and agentic systems, defining how these technologies integrate with Ramboll’s engineering platform. Collaborating with Product Architects, Data Engineers, and Product Owners, you will deliver intelligent solutions that enable automation, reasoning, and data-driven decision-making across Ramboll’s digital ecosystem.

Your work will directly influence how Ramboll designs sustainable, AI-enabled products for clients and society.

What You Will Do

Technological Leadership & Architecture

• Design and maintain AI and agentic architectures that enable autonomous reasoning, decision support, and knowledge integration across Ramboll’s digital platforms.
• Architect and deliver scalable ML, LLM, and multi-agent systems that integrate structured and unstructured data sources.
• Define design principles, standards, and guardrails to ensure technical excellence, reproducibility, and ethical AI development.
• Lead initiatives that embed intelligent automation and reasoning capabilities into engineering workflows.

Evaluation and Observability

• Design and apply robust evaluation frameworks to measure model and agent performance, transparency, and bias.
• Establish metrics and dashboards to monitor quality, latency, sustainability metrics, and cost, identifying and implementing improvements for better outcomes
• Drive adoption of AI observability practices for continuous improvement and compliance.

MLOps and Orchestration

• Develop and optimize automated training, deployment, and monitoring workflows across environments.
• Integrate orchestration principles for multi-agent and retrieval-augmented (RAG) pipelines into CI/CD processes, ensuring scalable, reliable AI delivery.
• Lead by example in implementing sustainable, cost-efficient, and transparent ML operations.

Collaboration and Mentoring

• Partner with Product Architects, Data Engineers, and Chapter Leads to operationalize AI and agentic architectures in digital products.
• Mentor ML Engineers and Developers, fostering growth in system design, evaluation frameworks, and AI lifecycle management.
• Contribute to global AI capability building through knowledge sharing, reusable frameworks, and cross-Pod collaboration.

Qualifications

How You Will Succeed in Your Role

We’re looking for an experienced ML professional who combines deep technical knowledge with collaborative leadership and a passion for responsible innovation.

You don’t need to meet every qualification — if you have the ambition and mindset to grow with us, we’d love to hear from you.

Education

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

Experience

• Minimum 5 years of experience in machine-learning or AI system development.
• At least 2 years in a senior or lead capacity within agile, cross-functional teams.
• Proven track record developing and deploying LLM-based, agentic, or ML-driven systems at production scale.

Leadership Skills

• Ability to define and communicate AI and agentic architecture direction aligned with Ramboll’s strategic goals.
• Demonstrated mentoring and technical coaching experience.
• Clear communicator who builds trust and drives collaboration across teams.

Technology Skills

• AI & Agentic Architecture: Experience designing system architectures for agent-based and knowledge-integrated AI applications.
• ML/LLM Engineering: Advanced expertise in model development, orchestration, and lifecycle management.
• Agentic AI & RAG Systems: Experience building multi-agent workflows, reasoning graphs, and retrieval-augmented generation pipelines using modern frameworks such as LangChain, LangGraph, or Semantic Kernel.
• Large Language Models (LLMs): In-depth experience with modern LLMs such as GPT, Claude, Gemini, Llama, Falcon, or Mistral.
• Evaluation & Observability: Skilled in model and agent evaluation, benchmarking, and feedback tracking using enterprise frameworks (e.g., LangFuse, MLflow).
• MLOps & Automation: Experience with model versioning, deployment, and automated CI/CD pipelines in cloud environments.
• Programming & Tools: Proficiency in Python and frameworks such as PyTorch, TensorFlow, scikit-learn, or Hugging Face.
• Cloud & Infrastructure: Experience with Azure, AWS, or GCP; familiarity with containerization (Docker, Kubernetes) a plus.
• Governance: Understanding of Responsible AI principles, model documentation, and enterprise compliance practices.

Additional Information

What defines us : Curiosity, Optimism, Ambition, Empathy

1. Our team at Ramboll Tech is currently on a steep growth trajectory while maintaining a strong team culture.
2. We are curious about other people and their motivations; about new business models and technologies; about each other and the future.
3. We are optimistic, focusing on solutions rather than problems; we plan for success and are willing to take calculated risks instead of playing it safe.
4. We are ambitious, setting our own standards higher than others’ expectations, and we celebrate each other’s successes.
5. We are empathetic, taking ourselves, others, and each other seriously without prejudgment, and we help each other and our clients, colleagues, and the world.

How we work as a team

Our team culture is crucial to us; that’s why we take time daily to exchange ideas and discuss our work priorities. We support each other when facing challenges and foster a strong team spirit. We aim to learn and grow continuously from one another. We value diversity, and although we’re not perfect, we regularly engage in open discussions about how we can improve in this area.

Our current hybrid work approach focuses on adapting to different needs, including increased flexibility that works best for teams and individuals, with as much autonomy as possible. We also meet up in person regularly, such as twice a year at our offsite or during team dinners.

Who is Ramboll?

Ramboll is a global architecture, engineering, and consultancy firm. We believe sustainable change’s aim is to create a livable world where people thrive in healthy nature. Our strength is our employees, and our history is rooted in a clear vision of how a responsible company should act. Openness and curiosity are cornerstones of our corporate culture, fostering an inclusive mindset that seeks new, diverse, and innovative perspectives. We respect and welcome all forms of diversity and focus on creating an inclusive environment where everyone can thrive and reach their full potential.

And what does Ramboll Tech do?

Ramboll Tech accelerates innovation and digital transformation for the entire Ramboll group and directs all AI-related initiatives within the company. This includes collaborating with markets at Ramboll on their AI projects, as well as working on larger change processes within the corporation and developing proprietary AI products for Ramboll and our clients. Our team currently has over 300 employees from Denmark, Germany, the USA, and India. We are looking to quickly expand in key areas across Europe and the globe.

Equality, Diversity, and Inclusion

Equality, diversity, and inclusion are at the heart of what we do. At Ramboll, we believe that diversity is a strength and that different experiences and perspectives are essential to creating truly sustainable societies. We are committed to providing an inclusive and supportive work environment where everyone is able to flourish and reach their potential. We also know how important it is to achieve the right balance of where, when, and how much you work. At Ramboll, we offer flexibility as part of our positive and inclusive approach to work. We invite applications from candidates of all backgrounds and characteristics. Please let us know if there are any changes, we could make to the application process to make it more comfortable for you. You can contact us at [email protected] with such requests.

Important information

We do require a cover letter together with your current CV (preferably without a photo) through our application tool, and we’re eager to get to know you better in a conversation.

Do you have any questions? Feel free to contact the hiring team through our recruitment tool.