Machine Learning Engineer NewTech - Advisory Challenger Academy 2025

What if you could help companies transform their businesses using AI and machine learning? Joining KPMG as a Machine Learning Engineer means you’ll be working with a variety of clients, applying the latest AI models to optimize operations, enhance customer experiences, and predict future trends. Take on exciting challenges from day one and shape the future of businesses with machine learning.

Perks of joining our amazing team

At KPMG NewTech, we drive business transformation through innovation, automation, and data-driven insights. Our team delivers impactful projects across industries, always pushing the boundaries of AI, automation, and strategic analysis to create real value for clients. Collaboration is at the heart of everything we do, with a diverse team of business analysts, automation experts, and technology enthusiasts.

We foster a supportive, open culture where new ideas are encouraged and valued. Our team thrives on collaboration and continuous learning, ensuring everyone has opportunities for personal and professional growth. Beyond work, we enjoy social events and team-building activities that strengthen our close-knit community.

What sets us apart is our relentless focus on innovation, consistently staying ahead with the latest technology in automation and AI. Through our hands-on "consulting-by-doing" approach, we provide real-world experience from day one, empowering our team to make a tangible impact while accelerating both professional development and client success.

KPMG Challenger Academy

Are you looking for a graduate programme? We think we have something better! At KPMG, you have the freedom to shape your own career. With endless opportunities to grow, learn, and take on new challenges, the KPMG Challenger Academy is where you build a future you are excited about. As part of the Academy, you set your own goals, work on interesting client projects, and get the best training to develop yourself. To make things even better, you get your own Koach (not Coach—we did spell-check this job ad, but KPMG’s equivalent of a performance manager) to help you reach your full potential and achieve your goals.

The Academy is designed for your early career after graduating your master studies. The Academy is split into 3 dynamic off-site modules, each designed to get you started in your new role and develop you as a consultant. Regardless of whether you are a recent graduate or bring previous experience, we ensure that everyone starts from the same point with equal opportunities to grow professionally.

Curious to know more about the KPMG Challenger Academy? You can read much more here.

Do you recognize yourself in the following?

You have strong technical skills in building and deploying machine learning models, with a solid understanding of algorithms and data structures. Experience with Scikit-Learn, XGBoost, Hugging Face, LangChain, DataBricks, MLFlow, FastAPI or similar frameworks is key, and you excel at optimizing models for performance and scalability. You're familiar with cloud platforms, data pipelines, and version control using Git, allowing you to integrate models into production seamlessly. Above all, you’re passionate about AI’s transformative potential and enjoy designing, training, and optimizing models that make AI accessible for real-world applications. 

Examples of tasks that you will do:

• Design, develop, and deploy machine learning models at scale. 
• Optimize model performance for real-world applications. 
• Integrate models into production environments using cloud platforms and Git. 
• Collaborate with cross-functional teams to implement AI solutions. 
• Stay up-to-date with emerging trends in machine learning and AI. 

Are you ready to take on the challenge and become part of KPMG? Send your application today!

If you have any questions or would like more information, please contact Mathias Hoeg Boisen [email protected] or on phone +45 51 16 11 77.

We are excited to receive your application. The deadline for applying is 31 December or as soon as we have found our new team member. This might be before the final deadline since we invite candidates for interviews on an ongoing basis.

Please note that we do not accept applications by e-mail to ensure GDPR compliance.

At KPMG, we are committed to developing diverse talent at all levels. We encourage all interested candidates to apply, regardless of age, race, gender identity, sexual orientation, disability, religion, or ethnicity.

We can’t wait to hear from you!