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.
ING Deutschland is looking for a Senior Machine Learning Engineer to actively shape the future of data-driven products, ranging from automated credit decisions to fraud detection models. The role requires selecting and preparing data from various sources, developing powerful models, and implementing deployment architectures, while ensuring technical feasibility.
CipherTek Recruitment is looking for a Machine Learning Operations Lead in the Investment Banking sector. This role involves leading the development of a greenfield framework for scalable AI/ML solutions, defining best practices, and collaborating with data scientists and across business divisions. The ideal candidate should have 2+ years of MLOps experience, a strong background in AI/ML engineering, and proficiency in Azure Databricks and Python.
STACKIT is looking for a (Senior) Software Engineer - Data & AI Platform to develop a sovereign cloud service. You will be responsible for expanding the system architecture, developing REST APIs to manage service lifecycle, creating Kubernetes operators, and conducting in-depth root cause analyses to implement effective solutions. Ideal candidates are passionate about new technologies in AI, experienced in software development, and have solid knowledge in programming with Golang.
IBM is looking for a Data Science & Engineering Manager to lead a talented, cross-functional team of data scientists and software engineers focused on integrating advanced AI and machine learning capabilities into Apptio's flagship FinOps and Technology Business Management (TBM) products. In this role, you'll provide technical leadership and strategic direction, ensuring your team delivers innovative, production-grade AI features that help global enterprises optimize their cloud and IT investments.
Better Placed Ltd is looking for a Machine Learning Engineer who is passionate about AI and machine learning. The ideal candidate should possess a Master's Degree in Computer Science, Machine Learning, Mathematics, or a related field, with a strong focus on NLP or ML. The role involves working alongside an established US team, focusing on training next-gen models and collaborating closely with US researchers on data sets and scalable training pipelines.
Harnham is looking for a Senior Staff/Technical Lead Machine Learning Engineer to join and lead a team in building and scaling ML-powered products focused on ad optimization and recommendation systems. The role requires designing and deploying machine learning models, developing ML pipelines, and collaborating with product and R&D teams. Candidates should have a strong background in AdTech or recommender systems, proven experience with machine learning, and knowledge of cloud platforms.
Harnham is looking for a Senior Staff/Technical Lead Machine Learning Engineer to lead a team focused on building and scaling ML-powered products with a focus on ad optimization and recommendation systems. The ideal candidate will have proven experience in deploying machine learning systems, strong background in AdTech, and hands-on experience with tools like Airflow, Spark, and Python.
Harnham is looking for a Senior Staff/Technical Lead Machine Learning Engineer to lead a team focusing on building and scaling ML-powered products primarily for ad optimization and recommendation systems. The ideal candidate will have a strong background in AdTech and be experienced in deploying machine learning systems in commercial settings, with hands-on experience in Cloud platforms and orchestration tools.
Harnham is looking for a Technical Lead Machine Learning Engineer to join and lead a team focused on building and scaling ML-powered products, particularly in ad optimization and recommendation systems. This role involves designing, building, and deploying machine learning models, developing ML pipelines, partnering with product and R&D teams, and staying ahead of emerging ML techniques. The ideal candidate will have a strong background in AdTech or recommender systems, hands-on experience with orchestration tools and data infrastructure, and knowledge of cloud platforms and ML tooling.