Younited is looking for a Senior Machine Learning Engineer to lead the design, deployment, and optimization of ML/AI models across diverse use cases. You will advocate for ML engineering excellence while developing scalable ML platforms and tools. You should have a Master's or PhD in Computer Science or a related field and 3 years experience in ML Engineering.
Noir is looking for a Machine Learning Engineer to join their team. The role focuses on developing cutting-edge machine learning applications utilizing a variety of technologies such as Python, TensorFlow, and Natural Language Processing (NLP). You will be part of a forward-thinking AI company that offers innovative solutions, and you will collaborate with top talents to shape the future of AI. Full training will be provided for candidates to expand their skills.
VOIDS is looking for a Senior Data Scientist - Demand Forecasting (f/m/d) to own the core of our product: the VOIDS demand forecasting engine that forecasts €1,000,000,000 yearly for our customers. You'll lead the development of scalable forecasting methodologies, engage with customers for insights, and enhance the developer experience. Must-haves include 5 years of Data Science experience, Python and SQL expertise, and a proactive mindset. If you are driven and fast-paced, embrace this opportunity to challenge the status quo and take ownership of our AI platform's success.
HouseSigma is looking for a Senior Machine Learning Engineer who thrives in a dynamic start-up environment and is passionate about machine learning and technology. The ideal candidate will partner with product teams to develop ML solutions, gain deep understanding of data, and communicate complex ideas clearly. Duties include designing and validating experiments, solving real estate predictions, and enhancing algorithms to match buyers with agents. Candidates should have a Masters or Ph.D. in a quantitative field with at least 3 years of relevant experience, strong knowledge of ML techniques, and proficiency in SQL and Python. Join us in revolutionizing the real estate industry!
Bright Purple is looking for a Machine Learning Engineer. This role involves designing, building, and delivering complex solutions within AI and ML for prestigious clients while supporting Data Engineering, DataOps, and DevOps functions. The ideal candidate will have strong skills in machine learning approaches and frameworks, along with experience in Python, cloud deployment, and database management.
Coders Connect is looking for a Lead Machine Learning Engineer to play a pivotal role, working closely with the AI Co-Founder and leading a small but talented team of ML Engineers. You will shape the AI/ML strategy, lead and mentor a team, and design production-grade machine learning solutions to solve complex business challenges. The ideal candidate has experience leading ML teams and a proven track record in deploying machine learning models.
1&1 Mail & Media is looking for a (Senior) Machine Learning Engineer to contribute significantly to the digital future of Germany's largest email brands, WEB.DE and GMX. As a Machine Learning Engineer, you will be responsible for the operation and further development of our Machine Learning platform, engaging in tasks from building our internal ML ecosystem to operationalizing and deploying ML models. The ideal candidate has a degree in computer science or a similar field, deep knowledge in Python, and experience with ML frameworks like PyTorch, TensorFlow, or Scikit-Learn, along with MLOps practices.
Coders Connect is looking for a Machine Learning Engineer to help create their first commercial MVP, focusing on advanced forecasting solutions. This role includes collaborating to build and optimize algorithms and ensuring platform performance, alongside strong forecasting and data visualization experience. Relocation to the Netherlands is necessary for EU citizens.
Opus Recruitment Solutions is looking for a Senior Machine Learning Engineer. You will work along the end-to-end machine learning lifecycle, focusing on data engineering and maintaining real-time data pipelines. Your responsibilities include developing and maintaining ETL processes, designing and implementing machine learning algorithms, and deploying and monitoring models in production environments. The ideal candidate should have a Bachelor's or Master's degree in Computer Science, Data Science, or related field, along with 7+ years of professional experience in fraud prevention or credit scoring, and expertise in machine learning algorithms, frameworks, and data engineering.
ECOM is looking for a Senior Machine Learning Engineer to lead the development and implementation of advanced machine learning models and algorithms. You will be part of a dynamic team at an innovative technology company in Manchester, driving innovation and solving complex problems through machine learning. The role entails designing, developing, and deploying machine learning solutions while collaborating with software engineers and data scientists to integrate these solutions effectively. A strong background in Python and machine learning libraries is essential for this position.