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Machine learning engineer Jobs in Unterföhring
Senior Machine Learning Engineer
SlalomMunich- Gesponsert
Lead Machine Learning Engineer mfd LLMs - Ramboll Tech
RambollGarching bei München, Germany- Gesponsert
Senior Machine Learning Engineer (m / w / d) - Anwendungsentwicklung, Ingenieur
SenacorMünchen, DESenior Data Engineer - Machine Learning (m / w / d)
hubside Consulting GmbHMünchen, de- Gesponsert
Senior Machine Learning Engineer
Conxai Technologies GmbHMunich, GermanyMachine Learning Security Engineer (m / w / d)
Machine Learning ReplyMünchen, BY, DE- Gesponsert
Senior Machine Learning Engineer GenAI mfd
SIXTMunich, GermanyMachine Learning Operation Engineer (f / m / x)
ZEISS GroupMünchenMachine Learning Engineer Automotive (m / w / d)
msg systemsMünchen, DE- Gesponsert
Internship Machine Learning mfx
Scalable GmbHGarching bei München, GermanySenior Machine Learning Engineer m / f / d
ATOSS Software AGMünchenMid Level Engineer - Machine Learning (NLP Focus)
MitratechMunich, Germany remote, UK remote- Gesponsert
Senior Machine Learning Engineer
VidLab7Munich, Germany- Gesponsert
Customer Engineer, Artificial Intelligence / Machine Learning (German)
GoogleMünchen, Bayern, DEStaff Data & Machine Learning Engineer
CelonisMunich, Germany(Senior) Machine Learning / AI Engineer (all genders)
adesso SEStreitfeldstraße 25, München, DEU- Gesponsert
Machine Learning Engineer (w / m / d) - System Engineering / Admin, Ingenieur
CapgeminiMünchen, DE(Senior) Machine Learning Engineer GenAI (m / f / d)
SIXT GermanyMunich, Bavaria, Germany- Gesponsert
Machine Learning Python Expert
OutlierMunich(München), Bavaria, GermanySenior Machine Learning Engineer
SlalomMunichAbout Us
Slalom is a next-generation professional services company creating value at the intersection of business, technology, and humanity. With our fiercely human approach, we deeply understand our customers—and their customers—to deliver practical, end-to-end solutions that drive meaningful impact. We go beyond traditional consulting with our local Slalom-Build-Hubs and design customized software, data, and cloud products as well as solutions to drive digital transformation for our clients. Our consultants and technology experts have the opportunity to work according to our local approach and support our clients in eight countries and 45 markets worldwide.
Since opening our first location in Germany in 2022, we have grown steadily. At our locations in Munich, Frankfurt and Düsseldorf, we now offer over 130 employees a dynamic, inspiring and inclusive environment for their professional development - true to our motto : Love your Work and Life!
Please be mindful that this position is to be filled on-site in our Munich office in a hybrid working mode.
At Slalom you will work with exceptional ML and data engineers and technology leaders to help our customers to get the most value of machine learning. This role offers a unique opportunity to influence the future of digital products by integrating state-of-the-art machine learning technologies with modern data architectures. If you're passionate about building next-generation systems and thrive in a dynamic, collaborative environment, we'd love to hear from you.
What You’ll Do
- Architect, design and implement innovative machine learning solutions for our customers across different industries and company sizes
- Work backwards from customer use case to decide if traditional ML, GenAI, or other approaches are the right option
- Design and implement MLOps frameworks to streamline the deployment, monitoring, and maintenance of ML models in production
- Continuously learn and master emerging data technologies and frameworks to remain at the forefront of the field
- Act as a mentor and knowledge source within the company and for clients, sharing insights and project learnings regularly
What You’ll Bring
Your Benefits
Slalom is an inclusive, equal-opportunity employer dedicated to building a diverse workforce. We encourage applications from all qualified candidates and will work to reasonably accommodate applicants’ needs throughout all stages of the recruitment and selection process. Please advise the Talent Acquisition team if you require accommodations during the interview process.