that feels truly human. Complexity will be a mainstay in your work as you tackle some of the most intricate problems in the GenerativeAI space. With a focus on low latency, you'll engineer solutions that redefine the speed and efficiency of AImore »
will ensure the correct management and governance of data dictionary. You will drive cost efficiencies and look to optimise and digitalise services, introducing AI and automation. You will be accountable in maintaining the integrity and security of the company’s data. You will be accountable for delivering monthly … either Synapse, BigQuery, Redshift) Expert level experience working with Azure and or Certified Azure Data Engineer Associate Interest on and exposure to on GenerativeAI are beneficial. Desired exposure to modern metadata management, ontologies and knowledge graphs. As a recognised Top 50 Inclusive Employer in the more »
Manchester, North West, United Kingdom Hybrid / WFH Options
83zero Limited
frameworks Developing the roadmap and transient states to improve the maturity of DevOps practices and unlock maximum value by adopting NextGen techs like GenerativeAI and Platform Product Management You will bring experience in transformation through technology and optimize the way clients operate. Comfortable at working more »
team. What you’ll be doing: As a Senior Data Scientist, you will be responsible for leading on the delivery of ML/AI solutions for their clients. This is an end-to-end responsibility with the following standard lifecycle: Joining business development leads on client prospecting calls … to understand and identify possible opportunities. Leading the discovery phase of ML/AI opportunities and supporting on digital transformation programmes. Workshop preparation and facilitation, requirements gathering and strategy document writing and presentation. Leading the end-to-end design, development, deployment and documentation of ML/AI … production, and therefore their overall profitability. What you’ll be responsible for: End-to-End design, development, deployment, and documentation of ML/AI models. Delivery of client project work utilising Agile project management methodology and framework. Client interaction, to understand business challenges and identify data science opportunities more »