Principal AI Data Scientist

Responsibilities

We are representing a confidential SaaS organization seeking a Principal AI Data Scientist to join their team in London. In this role, you will architect and deploy cutting-edge AI solutions across the full stack of enterprise applications, from model integration and prompt engineering to building intuitive user interfaces.

Your core responsibilities will include:

• Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Timeseries Forecasting models to solve complex enterprise business and planning challenges.
• Generative AI Architecture: Architect GenAI solutions, focusing on fine-tuning proprietary and open-source Large Language Models (LLMs) via Transformer architectures for specialised enterprise data tasks.
• Next-Gen Interfaces: Design and integrate Conversational AI and autonomous Agentic AI workflows, creating intuitive experiences that can independently execute complex planning tasks.
• Production & Scale: Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems.
• Technical Leadership: Serve as a core subject matter expert, mentoring cross-functional teams and driving a culture of technical excellence, rigorous testing, and continuous learning.

What We're Looking For

Essential skills and experience:

• Extensive professional engineering experience across Artificial Intelligence, Machine Learning, or related domains
• Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns, alongside practical experience with autonomous agent frameworks
• Experience fine-tuning LLMs (e.g., LoRA, QLoRA, RLHF) specifically for domain-specific enterprise applications
• Proven track record taking models from concept to production, utilising strong MLOps and LLMOps practices to ensure scalable, reliable, and monitorable deployments
• High proficiency in Python and modern software development practices, including rigorous testing, code reviews, and CI/CD pipelines
• Strong hands-on experience in traditional Machine Learning and deep learning techniques, specifically including Timeseries Forecasting algorithms

Desirable qualifications:

• Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field
• Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment
• Background in forecasting, planning, or analytics applications
• Familiarity with enterprise planning platforms
• Experience with A/B testing and experimentation frameworks for AI features
• Contributions to open-source ML projects or research publications

How We Work With You

Our talent team at Get A Job.ai will guide you through the entire process. When you apply through our platform, one of our recruiters will conduct an initial screening to understand your experience and career goals. We will then submit qualified candidates to our client for consideration. Please do not attempt to contact the client directly, as all communication should flow through Get A Job.ai to ensure a smooth and professional process.

Pay

Compensation details will be discussed during the screening process with our recruitment team.

Equal Employment Opportunity

Get A Job.ai is committed to fostering an inclusive environment. We welcome applications from all qualified candidates regardless of gender identity, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, or any other aspect which makes people unique.