45 Machine Learning jobs

About the Project Are you ready to revolutionize drug product development through computational science? Join our innovative and thriving team at Sanofi's Formulation and Process Development department in Frankfurt. We're seeking a talented and passionate postdoctoral researcher to lead our "Next-generation drug product development by predictive formulation development" project. You'll be at the forefront of transforming traditional empirical formulation methods into predictive, data-driven approaches that accelerate development timelines, reduce costs, and minimize material usage. Main Responsibilities: Develop and implement molecular modeling workflows to simulate protein-excipient interactions under various formulation conditions. Create and maintain a comprehensive database integrating computational descriptors with wet-lab properties. Design and implement machine learning models to predict formulation behavior and stability. Establish automated data...

Fueling tomorrow – that is our mission. The mobility of the future needs innovative solutions. The energy market of the future needs people who can make things happen. The future of energy needs: you. Let's shape the future of the energy industry together! For our Data & Analytics department in company headquarters in Hamburg's HafenCity, we are looking for you to start as soon as possible Senior Machine Learning Engineer (m/f/d) Our offer to you: Work-life balance: 38.75 working hours per week with 30 days annual leave Ability to work: flexible working hours and individual remote work arrangement Remuneration and additional benefits: Profit sharing, 13 salaries, holiday pay, travel allowance, etc Support in various life situations: through our partner PME Family Service, offering support in life crises as well as professional advice on work-related and personal matters, such as childcare, elder care, and more Security and...

Description & Requirements Most people are familiar with the term PAYBACK. We'd love to introduce ourselves to you in more detail. You're probably familiar with PAYBACK – from the question at the checkout or from our popular shopping app. And of course, we hope you answer "yes" at the checkout, because with us, you collect more than just °points. Whether you're a customer, partner, or colleague: With PAYBACK, every activity becomes a worthwhile experience. YOUR TASKS As Team Lead, you are responsible for the technical and disciplinary leadership of our Machine Learning Engineering Team You are responsible for the implementation of machine learning models on the Google Cloud Platform (GCP) You will work hands-on in an interdisciplinary team and implement innovative data and AI products using classic machine learning methods and generative AI (GenAI) Together with your team, you will ensure the smooth operation of our AI systems...

What you can expect from us... Design and develop machine learning models for prediction, classification, and optimization Deploy and maintain scalable machine learning systems in production environments Collaborate with cross-functional teams to identify and solve business challenges using data-driven approaches Conduct research and experiments to advance the state-of-the-art in machine learning and artificial intelligence Mentor junior engineers and provide technical leadership within the team Continuously monitor and improve the performance of machine learning models What we would expect from you... Master's or PhD in Computer Science, Engineering, Mathematics, or a related field 5+ years of experience in machine learning, deep learning, and artificial intelligence Proficiency in programming languages ​​such as Python, R, or Java Experience with machine learning frameworks and libraries (eg,...

HPI is recognized as one of the leading university institutes for computer science (www.hpi.de). Our goal is to strengthen Europe's digital sovereignty with excellent research and practice-oriented teaching in computer science. At HPI, we are convinced that excellence is created when knowledge from different disciplines is collaboratively combined to create responsible and pioneering solutions for the future. In our research clusters "Systems," "Data and AI," "Foundations," "Digital Health," and "Security," researchers from various disciplines work together on topics relevant to solving the challenges facing society. The Digital Engineering Faculty of the University of Potsdam and HPI offers a computer science engineering degree program that is unique in Germany. In the course of its strong growth, the Hasso Plattner Institute is looking for the earliest possible start date for a Postdoctoral Researcher (m/f/x) in Machine Learning and Artificial...

What we do Merantix Momentum is a Berlin-based AI startup focusing on accelerating AI adoption across many industries through B2B solutions, as well as publicly funded research projects. We work across several domains, including manufacturing, healthcare, the German public sector, and many more, transforming businesses as an external machine learning department. We achieve this using our core expertise in state-of-the-art machine learning combined with our culture of rapid iterations to build scalable solutions. Your role Are you passionate about developing impactful applications of Machine Learning? The mission of this role is to bring state-of-the-art deep-learning methods to real-world applications from ideation and prototyping to production. These will be your main responsibilities: ● Leading major projects ● Scope machine learning projects and their technical feasibility through client interaction ● Contribute to the next generation AI stack and grow the...

The Fraunhofer-Gesellschaft (www.fraunhofer.de) currently operates 76 institutes and research facilities in Germany and is the world's leading organization for application-oriented research. Around 32,000 employees generate an annual research volume of €2.9 billion. Optimal control of heating systems is the subject of numerous current research projects in the field of building energy systems. In the context of the energy transition, efficient heating strategies pose a major challenge for the resilient heat supply of private households and industrial facilities. As a partner of industry, Fraunhofer IIS/EAS, with approximately 110 employees at its Dresden location, develops key technologies for adaptive systems and offers innovative technologies and robust solutions. Would you like to gain experience with the simulation and real-life deployment of controllers in building energy systems and the use of machine learning models? Then we have the right position for you....

We're currently experiencing a fascinating phase of growth and internationalization. What we're missing now is you—an eloquent Data/Machine Learning Engineer Ops with expertise, passion, and creativity! We're looking for a master of machine learning who understands how to execute complex projects agilely and successfully. Become part of the SPRYLAB family! WIDELY VARIED – YOUR TASKS Design, build, and maintain the ML CI/CD pipeline and workflows that automate data collection, data analysis, experimentation, model training, model deployment, and monitoring in production Building, testing, and maintaining infrastructure and tools to facilitate consistent and automated development and release of AI software solutions Automating model training and release workflows and building services around ML inference and model deployment for runtime processing Data modeling to support the training of machine learning models Close collaboration with data engineers and...

Responsibilities Build proof of concepts and validate product hypotheses through   machine learning prototypes Support AI product management   in proofing feasibility and value of strategic product roadmap   items Take the lead in discussing hypotheses, modeling approaches and implementation options for the AI ​​projects you own end-to-end Requirements Currently enrolled in   a German University Fluency in English Proficient coding skills in   Python Data engineering and back-end skills   to acquire, harmonize, wrangle and store large amounts of data from various sources with minimal guidance High curiosity   for and strong ability to assess, grasp and implement theoretical concepts in the area of   ​​Knowledge Graphs, Semantic Web, Agentic Frameworks Ability to explore and rapidly get up to speed with new technologies needed for project success (such as neo4j, LangGraph, MCP) Proven record   of conceptualizing and   executing...

  Your tasks You support the development and implementation of machine learning models to optimize e-commerce processes You design and implement high-performance data architectures and stable data pipelines, with a focus on AI applications such as forecasting and machine learning models You monitor and optimize the performance of databases and data pipelines to continuously increase their efficiency and reliability You work in cross-functional teams to understand data requirements and solve complex analytical challenges You evaluate new technologies and tools to continuously improve our data infrastructure and processes Your profile You have a degree in computer science, data science, mathematics, physics or a similar discipline or have a qualified education with relevant practical experience You have a solid understanding of programming languages ​​such as Python and DBT You...

During your studies, you can get involved in ongoing research projects with us. Push the boundaries of technical feasibility with us and be there as we break new ground together. We offer a wide range of challenging and practice-oriented topics for compulsory internships, bachelor's or master's theses, or student assistantships. You will analyze important preliminary scientific questions and support the project teams with development activities. Location:  Ilmenau Team:  System Design Career level:  Compulsory internship, thesis, or student assistant Research field:  Intelligent networked measurement and test systems Scope:  By arrangement Start:  Immediately Application deadline:  December 31, 2025 Reference number:  IMMS_STUD_SD_0223 Machine learning methods are used in a wide variety of application fields. The IMMS is researching the energy-efficient implementation of AI methods on embedded systems. The goal of...

Join our Data Science team and make the magic happen. We drive business processes like pricing and many more with the use of sophisticated algorithms. For this purpose, we design, develop, and maintain state of the art machine learning models and manifold optimization solvers as well as simulation models. Are you ready to join a team where your work will enhance the experience of millions of our customers and have a direct impact on our business success?. Apply now and join our journey. YOUR ROLE AT SIXT You will engage with technical, product and business stakeholders to translate business problems into technical solutions You will work closely with software development engineers, data scientists, MLOps engineers, product and business owners to design and implement Generative AI driven solutions balancing benefits of custom solutions and standardization opportunities ensuring production grade services You will collaborate with technical stakeholders to...

Founded in 2008, BMG reimagined the relationship between music companies, songwriters, and artists by offering fairer contracts, greater creative freedom, and unparalleled transparency in royalties and licensing. Now the fourth-largest music company in the world, BMG combines human creativity with cutting-edge technology to connect music with global audiences. We are looking for a ML Engineer (f/m/d) to join our team and play a key role in developing AI-driven automation solutions that enhance efficiency and deliver high-performance results. As part of a dynamic and dedicated team of software and ML engineers, you will be responsible for designing, coding, and optimizing AI cloud-based services leveraging neural networks and LLMs into automation processes as well as taking part of the growing development of AI in BMG and the music industry. If you're passionate about AI, LLMs, cloud-based services, and automation, and you want to contribute to the development of...

Location: Schongau, Germany, Denklingen, Germany Company: Hirschvogel Components GmbH Job ID:   6306 The Hirschvogel Group is a company on the move. As a technology-open innovation partner and component manufacturer in the automotive industry, we are shaping the transformation of the mobility sector. We are present in the world's key market regions. Our forged and further processed steel and aluminum components are installed by all major vehicle manufacturers and suppliers. We offer components that are drive-independent as well as geared towards e-mobility and hydrogen-based drive concepts. From forged parts to finished, ready-to-install products – this is the path Hirschvogel Komponenten GmbH in Schongau follows – with precision and perfection. The pillars of success: around 1,000 employees who give the complex formed raw parts at Hirschvogel the necessary finishing touches. With state-of-the-art finishing lines and an impressive level...

(Salary group 13 TV-L, 75%) Leibniz University Hannover offers excellent working conditions in a vibrant scientific environment, embedded in the outstanding living conditions of a modern city surrounded by greenery. The Institute of Theoretical Physics is seeking to fill the following position as soon as possible: Scientific Assistant in Quantum Information and Machine Learning (Salary Group 13 TV-L, 75%) The position is initially limited to three years. It is open to doctoral students in physics, mathematics, and computer science. Your position at a glance They are working on harnessing machine learning for the construction of verifiable witnesses of entanglement and other nonlocality measures. The goal of the project is to achieve this for high-dimensional quantum systems, where established methods fail due to the high computational power required. Applications include entanglement detection, high-dimensional quantum steering, and nonlocality in Bell...

Vision being the dominant human sense, eye tracking constitutes a powerful approach for understanding the human mind! At Pupil Labs, our mission is to provide cutting-edge eye-tracking solutions, which are more robust, accurate, accessible, and user-friendly than ever before. Already today, our products empower thousands of users in academia and industry, clinical surgeons, elite athletes, astronauts on the International Space Station, and many more. Unlocking the full potential of eye-tracking technology relies on solving hard research problems, ranging from core gaze-estimation algorithms to developing cloud-based and edge-based tools for the real-time analysis of terabytes of egocentric video and physiological data. The interdisciplinary R&D team at Pupil Labs, comprising members with backgrounds in   Computer Science, Computational Neuroscience, Mathematics, and Physics   , is tackling these challenges head-on! In close collaboration with other engineering teams, we...

Vision being the dominant human sense, eye tracking constitutes a powerful approach for understanding the human mind! At Pupil Labs, our mission is to provide cutting-edge eye-tracking solutions, which are more robust, accurate, accessible, and user-friendly than ever before. Already today, our products empower thousands of users in academia and industry, clinical surgeons, elite athletes, astronauts on the International Space Station, and many more. Unlocking the full potential of eye-tracking technology relies on solving hard research problems, ranging from core gaze-estimation algorithms to developing cloud-based algorithmic tools for analyzing egocentric video and physiological data at scale. The interdisciplinary R&D team at Pupil Labs, comprising members with backgrounds in   Computer Science, Computational Neuroscience, Mathematics, and Physics   , is tackling these challenges head-on! In close collaboration with other engineering teams, we identify promising...

Our vision is: Transform the world moves, because people expect better. Join our Data Science organization and make the magic happen. We drive business processes like pricing and many more with the us e of sophisticated algorithms. For this purpose, we design, develop, and maintain our MLOps platform that is used by Data Science and further teams. Apply now and be part of our journey. YOUR ROLE AT SIXT You will lead and grow our Machine Learning Operations (MLOps) team that runs our central platform for automation of all Data Science processes and gives guidance, governance and support for deploying and operating models and algorithms efficiently and reliably in production You will guide the further implementation and operation of our MLOps platform You will collaborate closely with data scientists, machine learning and software reliability engineers, tech management and business stakeholders to understand platform requirements and translate this into a technical...