will be responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data science and R&D teams, this team will ensure that ML models transition smoothly from development to production, maintaining high availability, scalability, and performance. … to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing … cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g., ETL, datapipelines). Ability to troubleshoot complex production systems. Strong communication and collaboration skills. More ❯
Distinguished Engineer - AI & Data Science Department: Engineering Employment Type: Full Time Location: Glasgow Description Encompass enables fast, accurate identity validation and verification of corporate customers, and a gold standard approach to KYC. Our award-winning corporate digital identity (CDI) platform incorporates real-time data and documents … from authoritative global public data sources and private customer information, to create and maintain digital risk profiles. Utilizing the expertise of a global transformation team of KYC and banking industry experts, as well as strategic data, technology and consulting partnerships, enables seamless integration of Encompass into … the challenge. About the role We are seeking a visionary and technically hands-on Distinguished Engineer to define and execute our AI and data science strategy. You'll work at the intersection of AI research and product engineering to build intelligent, trustworthy systems that transform how financial institutions More ❯
to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing … cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g., ETL, datapipelines). Ability to troubleshoot complex production systems.. If you have the skills and desire for this More ❯
Software Developer - Customer Intelligence - Hybrid Nice to meet you! We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers. We're also a debt-free multi-billion-dollar … future, and how we can best support our customers both internal and external by leveraging the latest in Generative AI within our solutions. Datapipelines, orchestration and additional manipulation of data will fall within your scope of influence. You will contribute to various solutions driven by … high-quality, testable, and scalable software solutions within established timelines while adhering to CI360 best practices and processes. Ensure solutions meet the highest data security guidelines and are consistent with R&D standards. Develop multi-tenancy solutions that support multiple services and scale seamlessly. Expand knowledge of CI360 More ❯
D365 modules including finance, trade and logistics, stock, warehousing, procurement and sourcing etc. An understanding of the wider Microsoft stack including Azure functionality, Datapipelines and integrations is also desirable. Travel to customer sites to support optimizations or consultancy requirements will be required on occasion. Key Responsibilities: Liaise … role of Senior Consultant. Worked in a solution delivery capacity in the past. Understanding of the wider Microsoft Stack, e.g. Azure functionality, CE, Data pipelines. Willing to expand and train in other areas to cover demand as required. Salary: We offer a competitive, market-aligned salary, that reflects More ❯
