NP Group

Role: Business Analyst Location: Brussels (Hybrid) Rate: Flexible Contract Length: 18 Months Role: Business Systems Analyst experienced in the definition and elaboration of user stories based on requirements provided by business stakeholders and product owners. Formulates and defines system scope and objectives through research and fact-finding combined with an understanding of applicable business systems and industry requirements. Includes analysis of business and user needs, documentation of requirements, and translation into proper system requirement specifications. Experience in European or International payments is an important asset. Requirements: Extensive experience and understanding of the processing of Domestic and Cross Border Payments based on SWIFT. SSEPA Instant Payment Knowledge Payment knowledge based around Fraud, Charges, Foreign Exchange, Micro Services

Contract: Machine Learning Engineer Start Date: ASAP Location: Poland, Hungary or Romania - Fully Remote Duration: 12 months extendable Day Rate: €470 - €530 per day Reference: 18226 We are working with a Global Technology Company who are looking for a ML Engineer. This person work with their team of engineers at the intersection of vision, language and machine learning to create state-of-the-art models for various applications, such as content moderation, semantic search, chatbot assistants, etc. This person will be responsible for the design, implementation and deployment of production-ready natural language processing (NPL) models to retrieve, classify, or generate data . Role responsibilities Create and deliver production-ready, scalable and high-quality deep-learning models and associated algorithms for natural language processing problems. Critically assess the effectiveness of such models and make recommendations for improvements. Methodically understand and assess the effectiveness of new data channels and support collection/creation of new ones. Required Skills: Strong background in Machine Learning engineering. Experience creating innovative machine learning algorithms for problems in natural language processing and deploying them as production-level systems in industrial environments Theoretical expertise in building ML models capable of content classification and content generation. Skilled in integrating tools to build solutions from scratch, with the ability to: Design data-specific architectures. Work entirely within AWS (Amazon Web Services) environments. Proficiency in Python and PySpark (primary languages). Experience with Kubernetes for deployment. Deep learning techniques for supervised, semi-supervised and unsupervised learning Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch) Experience with working collaboratively with other developers, following a flexible/agile/lean approach Experience with architecting, scaling, securing and operating ML systems in the cloud (ideally AWS) at medium to large scale. MSc or PhD in Computer Science, Mathematics or related field 3+ years of relevant industry experience. Networking People (UK) is acting as an Employment Business in relation to this vacancy.