RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using statistical and business-driven metrics. Working on natural language to SQL AI transformations to extract data value. Working on natural language to other meta-language translation/transformation (e.g. LaTeX/mermail.io for diagramming, or natural language to code). Speech to text. Developing explainable … internal reports and industry conferences. Prototype and testing AI models before full-scale deployment. Skills & Experience Technical Expertise Understanding of transformer architectures, and large-scale language models. Experience with data engineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python/other AI-related languages. Strong SQL and dataanalytics skills. Familiarity with cloud … the UK & Ireland as customers, making us the largest provider of Payroll and HR software and managed services. Our vision is to be the clear leader in pay, reward, analytics, and people experiences. We're passionate about creating an environment where people want to join, belong to, and be part of a progressive organisation. Our values, which were defined More ❯
our culture of innovation and collaboration that drives us to deliver exceptional benefits to our clients every day. We are seeking an experienced and dynamic Technical Project Manager for DataAnalytics Services to join our team. The ideal candidate will have a strong background in managing technical projects related to legacy data platform migration, data lake … build, and dataanalytics across multiple cloud platforms. This role requires a blend of project management expertise and technical acumen to ensure successful delivery of complex data projects on time and within budget. Key Responsibilities: Project Management: Lead and manage legacy data platform migration (Teradata, Hadoop), data lake build, and dataanalytics projects … project plans, including scope, timelines, resource allocation, and budgets. Monitor project progress, identify risks, and implement mitigation strategies to ensure successful project delivery. Coordinate with cross-functional teams, including data engineers, data scientists, and IT professionals, to ensure seamless execution of projects. Technical Leadership: Provide technical guidance and expertise on data migration strategies, data lake architectures More ❯
efficiency standards. Excellent communication skills, with the ability to present to both technical and non-technical stakeholders. Experience in managing network integration during mergers and acquisitions. Strong grasp of dataanalytics, programming logic, and architectural documentation. International experience and significant vendor management expertise are highly desirable. Ideal Candidate Profile Has led a mid-stage telecom or tech company More ❯
