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Arrows is looking for a Senior Machine Learning Engineer to join their innovative team in London. In this exciting role, you will develop and deploy machine learning models for real-world applications and collaborate with cross-functional teams to define product requirements. A strong educational background with a BSc, MSc, or PhD in Computer Science, AI, Mathematics, or a related field is required, along with a minimum of 3 years of experience in machine learning or AI roles. Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, and scikit-learn is expected.

EPAM Systems is looking for a Senior Application Engineer in Madrid to lead the technical change for one or multiple applications in the private banking sector. This role involves lifecycle management and collaboration with cross-functional teams to deliver high-quality software solutions. Candidates should have 6-7+ years of experience in software development and be proficient in Java, JavaScript, and other related technologies.

Bundesdruckerei GmbH is looking for MLOps Platform Engineer (m/w/d). The role involves the further development and operation of our MLOps platform, which includes cloud resources and local servers. You will implement monitoring solutions to oversee performance and status of deployed models and optimize the ML infrastructure for scalability and cost efficiency. You will also develop and maintain CI/CD pipelines to automate testing, integration, and deployment of ML models while applying security best practices to protect both the models and the data they process. The position requires collaboration with Data Scientists, Software Engineers, and other stakeholders to understand model requirements and system limitations.

Meta UK is looking for a Machine Learning - Research Scientist to develop scalable classifiers and tools using machine learning, regression, and rules-based models. The ideal candidate will have a degree in Computer Science, Machine Learning, or a related field, experience with programming languages and frameworks such as PyTorch or TensorFlow, and proven ability to translate insights into business recommendations. You will also need to collect and synthesize requirements to create effective feature roadmaps and adapt machine learning methods for modern parallel environments.

Meta is looking for a Software Engineer, Machine Learning to lead crucial projects in the ongoing transformation of our business and technology. You will leverage your industry experience to tackle recommendation, classification, and optimization problems, owning the entire ML life cycle and collaborating with top engineers and researchers. The ideal candidate possesses experience in software engineering and machine learning, with a proven track record in defining projects across teams.