Lead AI & Machine Learning Engineer

Do you enjoy developing and expanding AI/ML solutions that deliver measurable business results? Do you enjoy working at the intersection of product, engineering and business to turn advanced AI capabilities into production-ready solutions? Then you might be our new AI/ML Engineer Specialist.

Digital Solutions & Development > Digital Solutions > AI/ML 

As part of the Digital Development Platform, the AI/ML Chapter is the home base for AI/ML specialization and supports Engineering Excellence, capability building, and scalable delivery throughout Vestas. You will be part of a global team spanning Denmark and India, partnering closely with product owners, AI/ML engineers and business stakeholders to design, build, and scale AI/ML, GenAI, and agentic solutions across the value chain from R&D and manufacturing to supply chain and service.

The chapter focuses on building and scaling AI/ML capabilities for high-value and autonomous flow use cases. It maintains alignment across product areas, keeps the organization prepared for emerging paradigms like LLMs and agentic AI, and supports scalable delivery through a balanced approach of internal development and strategic partnerships. With disciplined engineering practices, a data-centered approach, and close collaboration with business partners, the team consistently raises AI/ML delivery standards and supports solutions that improve visibility, optimization, and innovation across the enterprise.

As part of the broader Autonomous Flows initiative, the team contributes to building next-generation intelligent systems and agentic workflows that enhance operational efficiency and unlock new business value. We collaborate closely with platform, product and governance teams to ensure scalable, responsible, and impactful adoption of AI across Vestas.

Responsibilities

As a senior member of the product team, you will collaborate with product owners, AI/ML engineers, developers and business stakeholders to build and scale AI/ML capabilities in digital products. The position calls for collaborative informal leadership, with an emphasis on speeding up delivery and increasing business impact.

• Lead the design, delivery, and scaling of ML, GenAI, and agentic solutions to generate measurable business impact across the Vestas value chain
• Drive the integration of AI and ML capabilities into enterprise applications to support smooth adoption and measurable value
• Shape architecture choices that enable AI/ML solutions to scale reliably and ensure maintainability over its lifecyle
• Establish and promote reusable patterns and engineering standards for scalable delivery, AI-ready data, and trusted AI automation
• Own the end-to-end delivery across multiple initiatives, balancing speed, quality and evolving priorities
• Guide stakeholders on AI/ML strategy, shaping solution design to align with business objectives and governance requirements

Qualifications

You have a solid background in machine learning and software engineering, along with effective communication and stakeholder collaboration skills. You bring substantial experience in creating and scaling AI/ML systems for production, including end-to-end ownership from defining the problem to launching and iterating on the solution. You are recognized for your depth in one or more areas such as NLP/GenAI/Agentic systems, computer vision, ML engineering or large-scale AI systems. We hope that you are able to recognize yourself in the following:

• A master's degree in a relevant field (e.g., computer science, data science, engineering) or equivalent practical experience, combined with approximately 10 years of experience in ML engineering, designing, delivering, and scaling production-grade AI/ML solutions
• Advanced proficiency in Python and production-level software engineering, with practical experience using ML frameworks such as Scikit-learn, TensorFlow, and PyTorch, GenAI/agentic frameworks like LangChain, LangGraph, and Pydantic AI, and AI-assisted development tools such as GitHub Copilot and Claude Code to speed up delivery and support innovation
• Demonstrated depth in AI experimentation and modeling, with experience designing robust, scalable training and inference pipelines on cloud platforms such as Azure and Snowflake, along with CI/CD deployment in IaC environment
• Demonstrated ability to lead end-to-end delivery of AI/ML solutions, make architecture decisions, and integrate enterprise systems through APIs, microservices, Docker-based containerization, Kubernetes deployment, and scalable, production-ready engineering practices
• Extensive experience in MLOps and scalable AI/ML systems and deployment engineering, with work spanning ML, GenAI, and agentic solutions in production; tuning reliability, performance, latency, throughput, and cost; and establishing governance, monitoring, observability, automated retraining, versioning, and data-drift detection across AI/ML environments

Competencies

As our team is globally founded and very collaborative, we hope you will be part of the mutual enablement we emphasize. We believe that a way to do so it through:

• Effective collaboration among teams spread across Denmark, India, and Portugal, with heightened cross-cultural awareness and clear communication
• Skilled at bringing product, AI/ML engineering, platform, and MLOps teams together around shared engineering outcomes
• Demonstrated skill in mentoring and empowering teams through knowledge sharing, best practices, and informal leadership
• Demonstrated ability to align AI architecture and development standards, including building agreement in technical forums with enterprise architects and technical leads

What We Offer

• Purpose. An opportunity to help address climate change and shape the future for generations to come by building AI/ML, GenAI, and agentic solutions that advance renewable energy and sustainable operations
• Accelerated learning and growth. Join an accomplished global community of AI/ML engineers, data scientists, and GenAI professionals, where continuous learning, knowledge exchange, and expansion into agentic autonomous flows are central priorities
• Global collaboration and a supportive team culture. Work within a multicultural Denmark-India setup that values trust, collaboration and mutual support to deliver meaningful impact
• Opportunity to shape your role. Take a central part in expanding agentic autonomous workflows and high-value AI/ML solutions, with freedom to guide direction, methods, and results
• Supportive and inclusive environment. Thrive in a diverse, inclusive workplace that promotes well-being, work-life balance and enables individuals to bring their full potential to work
• Career growth in a global organization. Become part of a worldwide organization where you can keep building your abilities and move your career forward

Overall, we provide an opportunity to contribute meaningfully while advancing your career in a global, multicultural environment that supports ongoing learning and development.

Additional information

Location: Aarhus or Copenhagen, Denmark

Application Deadline: July 28th, 2026. We will review applications on an ongoing basis. We can withdraw from the job and reserve the right to do so at any time, including before the advertised closing date.

Start date: September 1st, 2026. Based on your fit and requirements, we can make adjustments as needed.

Our commitment to a fair hiring.

At Vestas, we evaluate all candidates solely based on their professional experience, education, and relevant skills. To support a fair recruitment process, we kindly ask that you remove any photos, dates of birth or graduation, gender pronouns, marital status, or other personal information not relevant to the role before submitting your CV/resume. Your CV/resume should focus on your professional and educational background, along with the necessary contact details (email and phone number). We train our hiring teams in inclusive evaluation and regularly review process outcomes to ensure fairness.

DEIB Statement

 
At Vestas, we recognize the value of diversity, equity, and inclusion in driving innovation and success. We strongly encourage individuals from all backgrounds to apply, particularly those who may hesitate due to their identity or feel they do not meet every criterion. As our CEO states, "Expertise and talent come in many forms, and a diverse workforce enhances our ability to think differently and solve the complex challenges of our industry". Your unique perspective is what will help us powering the solution for a sustainable, green energy future.

BEWARE – RECRUITMENT FRAUD

 
It has come to our attention that there are a number of fraudulent emails from people pretending to work for Vestas. Read more via this link, https://www.vestas.com/en/careers/our-recruitment-process

About Vestas

 
Vestas is the energy industry’s global partner on sustainable energy solutions. We are specialised in designing, manufacturing, installing, and servicing wind turbines, both onshore and offshore. 
Across the globe, we have installed more wind power than anyone else. We consider ourselves pioneers within the industry, as we continuously aim to design new solutions and technologies to create a more sustainable future for all of us. With more than 200 GW of wind power installed worldwide and 40+ years of experience in wind energy, we have an unmatched track record demonstrating our expertise within the field. 
With 39,000 employees globally, we are a diverse team united by a common goal: to power the solution – today, tomorrow, and far into the future. 
Vestas promotes a diverse workforce which embraces all social identities and is free of any discrimination. We commit to create and sustain an environment that acknowledges and harvests different experiences, skills, and perspectives. We also aim to give everyone equal access to opportunity. 
To learn more about our company and life at Vestas, we invite you to visit our website at www.vestas.com and follow us on our social media channels. We also encourage you to join our Talent Universe to receive notifications on new and relevant postings.