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Talent Universe Lead AI & Machine Learning Engineer

Vestas


Job Location:

Copenhagen - Denmark

Monthly Salary: Not provided by the employer
Posted: 11 July 2026 (30+ days ago)
Application Deadline: 6 November 2026
Vacancies: 1 Vacancy

Job Summary

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 masters 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 Vestas


Vestas is the energy industrys 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 39000 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 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.


Required Experience:

IC


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